Anslie Brant (she/they) is a recent Flatiron School graduate who just landed their dream job in the tech industry! Their story is one of determination, resilience, and the power of finding the right educational path. In this blog, we’ll follow Anslie’s journey, from their pre-Flatiron experience to their exciting new role in the tech world, all through their own words.
Before Flatiron: What were you doing and why did you decide to switch gears?
Anslie, like many others, found themselves navigating the twists and turns of life’s path. “I was a computer science student at university,” she explained, but due to various circumstances, Anslie wasn’t able to finish their degree. This led to a period of working odd jobs, facing the insecurity that often comes with such positions, especially during the COVID-19 pandemic.
However, the desire for a tech career never faded. “I knew I still wanted to pursue software development [and the] tech field in general,” Anslie says. Finding stable work as a nanny provided the space to explore different options. Inspired by friends who had successfully transitioned into tech through bootcamps, Anslie began researching this route. She discovered a passion for full-stack development, a field that allows Anslie to “combine my creative side and analytical side to be a well-rounded front- and back-end developer.”
Anslie’s story reflects a common thread among those drawn to tech careers: a lifelong fascination with technology. “I began playing video games early in life,” they share, “and this interest just never stopped.” Building their own PC for various purposes – work, education, and even streaming – solidified their desire to be part of the tech world.
During Flatiron: What surprised you most about yourself and the learning process during your time at Flatiron School?
Having had a taste of computer science in college, Anslie knew the traditional university route wasn’t the right fit. “I wanted to learn HOW to code and apply it,” they explain, “and in college, I hadn’t even gotten my hands on real-life applications yet.” Flatiron School offered a different approach, one that emphasized practical application and real-world skills.
Anslie’s journey at Flatiron School wasn’t without its challenges. However, their story highlights Flatiron’s focus on student success. Anslie reflects positively on the supportive Admissions experience and even received a scholarship. “The fact there was a scholarship option for Women in STEM as well as based on financial need was enticing,” they say.
Looking back, Anslie is most proud of simply graduating. “I was very disappointed in not finishing the traditional university route,” they confess. Flatiron provided the opportunity to overcome that disappointment and achieve their goals. “I was able to jump right in, gain real industry experience, and get my foot in the door of tech in a very tough state at the moment.”
After Flatiron: What are you most proud of in your new tech career?
With grit and determination, Anslie Brant landed a role as an Operations Analyst at TSYS Global Payments. “I am very proud to have landed a tech-adjacent role for a fintech company,” Anslie says. This new role offers not only amazing benefits and growth opportunities but also a significant increase in income.
The job search process wasn’t easy. It took four months of dedicated effort, “never stopping networking, cold messaging on LinkedIn, sending applications to all kinds of tech jobs, and practicing interview questions,” as Anslie describes it. Their perseverance paid off, and they landed a coveted position in a competitive industry.
The transformation is remarkable. “I went from being a nanny with past experience in food service, retail, and hospitality, with no corporate experience, to working a technical role in a fintech corporation,” Anslie reflects. They attribute their success not only to their own hard work but also to Flatiron School and Career Coach, Raffi Sarafian. “I was complimented on my etiquette and professionalism in my interviews which I can only attribute to my Coach and resources provided by Flatiron as I genuinely had not a clue!”
Summary
Anslie’s story is a testament to the power of finding the right educational path and the transformative potential of Flatiron School’s immersive bootcamp.
Inspired by Anslie’s Story? Ready to take charge of your future?
Apply Now to join other career changers like Anslie Brant in a program that sets you apart from the competition. Read more stories about successful career changes on the Flatiron School blog.
One of the most important foundational building concepts in programming is variables. Variables are a way to make a computer remember values. A variable is a label to which a value can be assigned.
Variables allow programmers to give meaning to values and use those values throughout the program easily. For example, the number 238900 doesn’t mean anything but if we label it as “the distance between the Moon and the Earth” it’s easier to reference. We don’t have to remember the exact value as we can look it up using the phrase “distance between the Moon and the Earth.”
Here’s how we would use a variable in Python:
Output:
We can use “_” (underscore) to make big numbers easier to read in Python. Notice that we’re also using the “_” to separate words in the variable name.
Variable Naming Conventions
It is important to follow consistent guidelines when naming variables. The projects you work on will likely have their own guidelines. (Check out Google’s Python style guide as an example.)
The following are common Python variable naming conventions used in the industry:
Variable names can only contain letters, numbers, and underscores (_).
They can only start with a letter or an underscore (greeting1 and _greeting1 are valid but 1greeting is not).
Variables are case-sensitive (greeting and Greeting are separate variables).
Multiple words must be separated using _ (my_birthday, number_of_people). This convention is called snake_case.
Variable names must be meaningful (max_speed instead of m).
Visualizing Computer Memory
Whenever we ask the computer to represent a string, number, or boolean it creates the representation in its memory. You can think of computer memory as a giant container that can store information for the duration of a program’s execution.
At the start of program execution, the computer’s memory is empty. We can visualize it like this:
Now let’s run some code and visualize how the memory will change during execution:
For each of the values, a representation will be created in the memory during execution.
Once the program completes execution, the memory will be empty again.
Note that if we had two print(1) statements, there would still be only a single representation of the integer 1. This is the case for strings and booleans too.
Variable Declaration and Assignment
Let’s look at how to create a variable again:
There are three parts to this line:
cat_name is the variable name.
= is an assignment operator.
'Fifi' is an expression that produces the value Fifi of type str.
So this is the general structure:
The right side of the = operator is evaluated first.
The value produced by the expression evaluation is then assigned to the variable name or label.
The line cat_name = 'Fifi' is usually verbalized as “declare a variable called cat_name and assign the value ‘Fifi’ to it.
Visualizing declaration and assignment
We are going to visualize the following line:
First, the computer evaluates the expression which in this case produces the string 'Fifi' and stores it in the memory.
The computer would then declare the variable with the given name. Notice that the string is in '' while the variable name is not.
Finally, the computer makes the variable name point to the value (i.e., it assigns the value to the variable label).
Variable Access
We’ve seen how a computer declares variables and assigns values to them. Now we will look at what happens when the computer accesses a variable.
Here’s the code we will be working with:
When a computer sees a variable label it checks its memory for the label. If the label exists, the value that the label points to is used by the computer.
We can visualize this by checking the memory diagram and following the arrow from the variable label (cat_name) to the value (’Fifi’).
Variable Reassignment
Variable values can be changed during the execution of the program. For example:
The first line will result in the following memory state:
On the second line, the computer will look up the current_year label in its memory and display the value 2023.
With the third line, a few things happen:
The computer creates the representation of 2023 in its memory (remember the right-hand side of the = operator is evaluated first).
The current_year label arrow is pointed to the 2024 representation.
Since no variables are pointing to the 2023 value anymore, it gets removed from memory.
On the 4th and final line, the computer checks its memory for the current_label again but this time it’s pointing to a new value (2024).
As a reminder, this mental model works for strings and booleans too!
Hopefully you now have an understanding of how to visualize variable declaration and assignment. These visualizations can also be used for reference type values such as arrays and objects. Whenever you’re using variables, make sure to follow a consistent guideline and identify what value a variable is referencing. With these foundations, you will be able to effectively use variables in any programming language.
Make a Software Engineering Career Change at Flatiron
Our Software Engineering Bootcamp offers hands-on training, expert technical coaching, and real-world projects designed to launch your career in tech. Don’t miss this opportunity to join a vibrant community of developers and unlock limitless possibilities. Apply now and fast-track your path to success in the dynamic field of software engineering.
In the vast expanse of the digital landscape, transforming a simple idea into a vibrant, fully operational website is an adventure akin to an explorer venturing into new territories. Just as explorers rely on their compass, map, and vessel to navigate uncharted territories, developers embarking on their own journeys must master the tools of Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), and JavaScript. These foundational elements allow you to successfully navigate from an initial concept to the final destination, where your creations come to life on the screen. As you explore and master these essential tools, you’ll find yourself capable of navigating the complexities of the web with confidence and creativity, and be ready to turn your visions into reality. Let’s dive into learning about web development basics.
HTML Basics: Charting the Journey
HTML is the standard markup language used to create and structure content on the web. It consists of elements known as tags, which define headings, paragraphs, links, images, buttons, and other content elements. These tags are the building blocks of web development—the first script in bringing your digital visions to screen. Here’s a basic example of what HTML looks like:
Taking a look at this, you may notice how each element serves a specific purpose, much like the components of a map guiding an explorer. The <!DOCTYPE html> declaration defines the document type and version of HTML. The <html> element is the root of an HTML document, encapsulating all content. Within it, the <head> section contains meta-information like the <title> of the page, which appears in the browser’s title bar or tab.
The <body> houses the content visible to users: headings, paragraphs, links, and more. For instance, <h1> tags denote main headings, significantly larger in size for emphasis, while <p> tags are used for paragraphs, marking the text body. This structure is not just for looks. It’s about creating a hierarchy and organizational flow that guides the user through the content, in a consistent and accessible way.
Expanding Your HTML Toolkit
Beyond the basics, HTML offers many elements to enrich your web pages, each serving specific purposes:
Links (<a>): The cornerstone of the web, links allow you to navigate from one page to another or to resources within the same page. They are the pathways connecting different territories of the digital world.
Images (<img>): Images bring visual appeal and context to your content, acting as windows to the world you’re creating.
Lists (<ul>, <ol>): Whether unordered (<ul>) or ordered (<ol>), lists are essential for structuring information in an easily digestible format.
Forms (<form>): Forms are your way of gathering input from the voyagers of your site, be it for newsletter subscriptions, feedback, or inquiries.
Best Practices in HTML
As you chart your journey through web development, adhering to best practices in HTML is crucial.
Semantic HTML
Use HTML elements according to their intended purpose. Refer to documentation on MDN to learn how to choose the right tags for the job. As you become more familiar with HTML, you should know when to use elements like <article>, <section>, and <aside> to structure your content meaningfully.
Accessibility
Ensure your web pages are accessible to all users, including those with disabilities. Use alt attributes for images and structure your content for screen readers. MDN is also an excellent resource for accessibility information.
HTML: Laying a Foundation
Understanding HTML is the first step in the web development journey, allowing you to lay down the foundation upon which all else is built. As you progress, remember that each tag and element is a step towards bringing your digital visions to life. From script to screen, HTML is your map and compass, guiding you through the intricate landscape of web development.
CSS Basics: Styling the Journey
CSS introduces aesthetics to the journey of web development. It’s the language used to style HTML documents, dictating how elements should appear on the screen. CSS basics cover the use of selectors, properties, and values to design layouts, set fonts, and apply colors, transforming the bare-bones structure into a visually appealing experience.
Consider this brief CSS example:
In this snippet, the body selector targets the entire body of the HTML document, setting a universal font, removing default margins and padding, and applying a base text color. The h1 selector then specifically targets all <h1> elements, assigning them a distinct color. This is just the beginning of what CSS can accomplish.
Selectors: The Starting Point
Selectors are the means by which CSS targets HTML elements to apply styles. Beyond targeting element types like h1, CSS allows for more complex targeting using classes, IDs, and attributes, enabling precise control over the styling of individual elements or groups of elements.
Properties and Values: The Building Blocks of Style
CSS properties are the specific aspects of elements that you can style. Some examples of these are color, font family, margin, and padding. Each property is given a value, which dictates how that property should be displayed on the page. For example, color: #1167b1; sets the text color of the selected element to a specific shade of blue.
Layouts and Positioning: Structuring Your Space
One of the most powerful aspects of CSS is its ability to control the layout and positioning of elements. With properties like display, position, flexbox, and grid, you can define how elements are organized and interact with each other on the page. This allows for the creation of complex, responsive designs that look great on any device, even if users adjust their window sizes.
In this example, the .container class is used to create a flex container that centers its children both horizontally and vertically.
Styling Beyond the Basics: Transitions and Animations
CSS also offers the ability to add transitions and animations, bringing interactivity and motion to your designs. Transitions allow styles to change smoothly over a specified duration, while animations enable more complex sequences of style changes.
This code snippet demonstrates a simple transition effect, changing the background color of a button smoothly when you hover the mouse over it. While it’s simply to learn a few basics on CSS animations, the sky’s the limit for what you can do with it, given dedicated practice and study.
Responsive Design: Adapting to Screens
A critical aspect of modern web design is responsiveness, ensuring that web pages look good and function well on a variety of devices and screen sizes. CSS facilitates responsive design through media queries, which apply styles based on specific conditions like screen width.
This media query adjusts the font size for screens smaller than 600 pixels, improving readability on mobile devices. You can tailor your styling using multiple different media queries for different sizes.
Mastering CSS requires a lot of experimentation and trial and error. It’s essential for anyone looking to make their mark in web development. It allows you to bring your HTML structures to life with style, creating engaging and effective web experiences. As you continue your journey in web development, it will help you turn your creations into beautiful works of art.
JavaScript Basics: Bringing the Adventure to Life
JavaScript adds interactivity and functionality to the web development voyage. It’s a programming language that allows developers to implement complex features on web pages. From dynamic content updates to interactive maps and animated graphics, JavaScript basics are about breathing life into the static pages created with HTML and CSS.
Here’s a one-line example of some JavaScript code:
This line of JavaScript finds an HTML element with the id “demo” and changes its content to “Hello, World!” This is how JavaScript can manipulate the content of a web page. This allows you to write scripts that automatically change content in response to things users are doing—turning a static document into something truly interactive. As you delve into this part of your journey, programming fundamentals become a key element for you to develop, and begin to apply.
Variables and Data Types
At the heart of JavaScript are variables and data types. Variables are used to store information that can be referenced and manipulated by the program. JavaScript supports various data types, including numbers, strings, and arrays, allowing for the storage and manipulation of a wide range of information.
Functions: The Building Blocks of Interactivity
Functions are fundamental to JavaScript, allowing you to encapsulate code for reuse. They can take inputs, process information, and return outputs. Functions are what make it possible to add interactivity to web pages, responding to user actions such as clicks and keystrokes, and even scrolling.
Events: Reacting to User Actions
JavaScript’s power lies in its ability to react to user events, such as clicks, mouse movements, and keyboard input. By attaching functions to these events, you can create interactive and dynamic user experiences.
The Document Object Model (DOM)
The Document Object Model (DOM) is a programming interface for web documents. It represents the page so that programs can change the document structure, style, and content. JavaScript uses the DOM to interact with and manipulate web pages dynamically. Think of this as a virtual representation of your HTML tag elements that JavaScript is able to reference and interact with more directly.
Asynchronous JavaScript: Enhancing User Experience
Asynchronous JavaScript, including Promises and async/await, allows for performing long network requests without blocking the main thread. This is crucial for creating smooth, user-friendly web applications.
JavaScript: Building Off the Basics
JavaScript is the spirit of modern web development, infusing static HTML and CSS with the breath of life. It enables the creation of rich, interactive web experiences that engage users. As you delve deeper into JavaScript basics, you’ll discover a world of possibilities for innovation and creativity in web development. This is where the adventure really starts and can go in almost any direction. Remember, JavaScript is not just a programming language; it’s a tool for bringing your digital adventures to life.
Charting the Course: Building Websites
With an understanding of HTML, CSS, and JavaScript, the journey from script to screen in web development becomes a tangible reality. Building websites is the ultimate adventure, a process that combines creativity with technical skill to produce digital experiences that engage and delight users.
Introduction to Web Development: The First Step
As you approach your introduction to web development and learn the essential tools of the trade, you’re preparing to chart your course for your journey. This involves understanding the web development basics, familiarizing yourself with the tools and technologies, and starting to think like a developer. This takes practice above all, and collaboration with others can also be a big help. Gaining these skills and foundational knowledge is crucial for navigating the challenges and opportunities of the digital landscape.
“Script to screen” web development is about using a creative and technical process to turn your ideas into digital realities for all to see. It’s about writing the code that brings designs to life, ensuring that every element works in harmony to create a seamless user experience. This phase of the journey emphasizes the importance of a solid understanding of web development basics, as it’s the skill that translates vision into reality.
Start with writing some documents in HTML, to organize the content and be sure to take advantage of semantic elements for their specific purposes. Then add CSS to customize and enrich its appearance. Finally, add JavaScript to provide some interactivity and functionality. The more you repeat this process, the more complex and beautiful your creations will become.
Web Development Basics: Conclusion
The journey from script to screen in web development is both challenging and rewarding. It offers the opportunity to create, innovate, and impact the digital world in meaningful ways. By mastering the web development basics of HTML, CSS, and JavaScript, you equip yourself with the tools needed to navigate this journey successfully. As you embark on this adventure, remember that the path from concept to creation is a journey of continuous learning and discovery. The standards and trends on the web are constantly evolving, and so too are the possibilities for those who dare to explore it.
Gain an Education in Web Development at Flatiron School
You can learn HTML, CSS, JavaScript and more in Flatiron’s Software Engineering Bootcamp. Our graduates have been hired by such companies as Microsoft, Intel, Apple, and Spotify. Take the leap today and apply, or schedule a 10-minute call with our Admissions team!
Simple programs are run sequentially. Instructions are written line by line and the computer executes them exactly as written every time. However, for complex programs we have to make decisions based on various parameters. For example, a weather app shows different visuals based on the temperature or time of day. We looked at a few foundational programming concepts in a previous article. In this article, we’ll be taking a look at two more coding building blocks: conditional statements and loops.
Both conditionals and loops are essential in creating complex programs. They allow us to create branches in our programs or automate certain types of instruction. Almost every programming language you learn will have syntax for conditional statements and loops.
In this post, we will be exploring the following:
If statement
If-Else statement
For loop
If Statement
Code will run sequentially unless specified otherwise. If there are any errors, the program might show an error or retry the instruction that caused the error. But even then, the code would still be considered “unconditional.” Errors are exceptional cases and are not part of the regular program flow. “Unconditional” code refers to code that is written in a sequential manner without any logic applied. Wouldn’t it be great if we could say “If this is true . . . do this thing first”? Well, it turns out, we can! Statements and logic like that are called conditionals, where we modify the flow of the program with some logic.
Consider a program in JavaScript where we want to alert a student if he or she passed a test:
The if statement allows us to specify a “condition.” In JavaScript, an if statement is immediately followed by an open parenthesis (, a “conditional clause,” and a close parenthesis ). The conditional clause is any expression that can evaluate to either “true” or “false.”
In this case, either the grade is greater than or equal to 70, or it’s not. If it’s greater than or equal to 70, then the program will execute the content of the if block. If the grade is less than 70, then the program will not execute the content of the if block. Consider the following flowchart:
If-Else Statement
An if statement can be followed by an else statement. When an else follows an if, its content will be executed whenever the conditional clause of the if statement is not true. It should be noted that an if statement does not need to be followed by an else statement, as we have seen in the example above. But if we are to have an else statement, the syntax would look like this:
Consider the following flowchart to summarize how an if-else statement works:
if-else statements are a good option to use when we have exactly two cases. In the example we’re working with, a student will either pass or fail. Another example of having exactly two cases would be determining if a number is even or odd.
For Loop
We can loop through the same block of code multiple times given some conditions. Loops are helpful if we want to execute the same statements over a number of iterations. Consider the following pseudocode:
Notice how we would have to write a hundred console.log statements if we were to write out this pseudocode in JavaScript. But the pattern seems to be that we are executing a print statement a hundred times and just changing the value of what is printed. While this code is rather simplistic in that it is only one line of code that we want to repeat over and over, imagine if it was several lines of code that we wanted to repeat over and over? This could cause a maintenance nightmare of having to update repeated lines of code if we just want to make one little change! This is a good case to implement a loop that will save us from several copy-paste issues when developing and maintaining.
The for loop is a way to indicate that we want to go through a section of code multiple times. The for loop takes multiple parameters:
An initializing statement that is run once before the content of the for loop.
A conditional that is evaluated once before each run through the for loop and must be true in order for the content of the for loop to be executed.
An update statement that is run once after each run through the for loop.
The syntax is as follows:
This kind of loop is very well suited in cases where we know in advance how many times we want to go through a specific set of instructions. Consider the following flowchart:
Let’s consider that we want to print a message to the console five times. We would write the following code:
Let’s break down what this for loop does:
Define a variable named i and initialize it to 0.
Establish that the code inside the for loop code block should run as long as i is less than 5.
Establish that the value of i should be incremented by one every time the loop is executed.
We can revise our flowchart from before to reflect this example:
This will produce the following output:
Conditional statements and loops will allow you to develop programs that can react to your user’s choices and automate or streamline various workflows. You can create delightful, interactive experiences for users by leveraging different control flow strategies.
Learn Software Engineering at Flatiron School
Our Software Engineering Bootcamp allows students to gain an education in the field in as little as 15 weeks. You can apply today or book a call with our Admissions team to learn more! And if you are interested in seeing the types of projects you can work on at Flatiron, attend our Final Project Showcase.
Landing a career in the tech industry requires more than just technical/hard skills; it requires soft skills like effective communication, adaptability, time management, problem-solving abilities, and remote collaboration skills. Remote collaboration is especially key for those who work in tech; according to U.S. News & World Report, the tech industry leads all other industries with the highest percentage of remote workers.
At Flatiron School, we understand the importance of these skills in shaping successful tech professionals. Hackonomics, our AI-focused hackathon event happening between March 8 and March 25, will see participants sharpen remote collaboration skills (and many others) through the remote team-based building of an AI-driven personal finance platform. We’ll reveal more about Hackonomics later in the article; right now, let’s dive deeper into why remote collaboration skills are so important in today’s work world.
Mastering Remote Collaboration Skills
Remote collaboration skills are invaluable in today’s digital workplace, where teams are often distributed across different locations and time zones. Whether you’re working on a project with colleagues halfway across the globe or collaborating with clients remotely, the ability to effectively communicate, problem-solve, and coordinate tasks in a remote work setting is essential for success. Here are some other key reasons why this skill is becoming so important.
Enhanced Productivity and Efficiency
Remote collaboration tools and technologies empower teams to communicate, coordinate, and collaborate in real-time, leading to increased productivity and efficiency. With the right skills and tools in place, tasks can be completed more quickly, projects can progress smoothly, and goals can be achieved with greater ease.
Flexibility and Work-life Balance
Remote work offers unparalleled flexibility, allowing individuals to balance their professional and personal lives more effectively. However, this flexibility comes with the responsibility of being able to collaborate effectively from anywhere, ensuring that work gets done regardless of physical location.
Professional Development and Learning Opportunities
Embracing remote collaboration opens doors to a wealth of professional development and learning opportunities. From mastering new collaboration tools to honing communication and teamwork skills in virtual settings, individuals can continually grow and adapt to the evolving demands of the digital workplace.
Resilience in the Face of Challenges
Events such as the COVID-19 pandemic—and the massive shift to at-home work it caused—has highlighted the importance of remote collaboration skills. When faced with unforeseen challenges or disruptions, the ability to collaborate remotely ensures business continuity and resilience, enabling teams to adapt and thrive in any environment.
Join Us for the Hackonomics Project Showcase and Awards Ceremony
Come see the final projects born out of our Hackonomics teams’ remote collaboration experiences when our Hackonomics 2024 Showcase and Awards Ceremony happens online on March 28. The event is free to the public and offers those interested in attending a Flatiron School bootcamp a great opportunity to see the types of projects they could work on should they enroll.
Great product design is one of those things you just know when you see it, and more importantly—use it. It’s not just about being eye-catching; it’s about serving a real purpose and solving a real problem—bonus points if you can solve that problem in a clever way. If there ever was a time to build a fintech app, that time is now. The market is ripe, the problems to solve are plenty, and the tools and resources are readily available. Flatiron School Alumni from our Cybersecurity,Data Science, Product Design, and Software Engineering bootcamps have been tasked to help me craft Money Magnet, an AI personal finance platform that solves common budget-making challenges. They’ll tackle this work during Hackonomics, our two-week-long hackathon that runs from March 8 to March 25.
There is one goal in mind: to help individuals and families improve their financial well-being through an AI financial tool.
A loading screen mockup for AI personal finance platform Money Magnet
My Personal Spreadsheet Struggle
The concept for Money Magnet sprang from personal frustration and mock research around user preferences in AI finance. As a designer, I often joke, “I went to design school to avoid math.” Yet, ironically, I’m actually quite adept with numbers. Give me a spreadsheet and 30 minutes, and I’ll show you some of the coolest formulas, conditional formats, and data visualization charts you’ve ever seen.
Despite this, in my household, the responsibility of budget management falls squarely to my partner. I prefer to stay blissfully unaware of our financial details—knowing too much about our funds admittedly tends to lead to impulsive spending on my part. However, occasionally I need to access the budget, whether it’s to update it for an unexpected expense or to analyze historical data for better spending decisions.
We’re big on goal-setting in our family—once we set a goal, we stick to it. We have several future purchases we’re planning for, like a house down payment, a new car, a vacation, and maybe even planning for children.
But here’s the catch: None of the top AI financial tools on the market incorporate the personal finance AI features that Money Magnet proposes bringing to the market. Families need an AI personal finance platform that looks into our spending patterns from the past and projects into the future to tell users when the budget gets tighter. This product should be easy to use with access to all family members to make changes without fear of wrecking the budget.
For more context, each year, my partner forecasts a detailed budget for us. We know some expenses fluctuate—a grocery trip might cost $100 one time and $150 the next. We use averages from the past year to estimate and project those variable expenses. This way, we manage to live comfortably without having to scale back in tighter months, fitting in bigger purchases when possible, and working towards an annual savings goal.
But here’s where the challenge lies: My partner, as incredible as he is, is not a visualist. He can navigate a sea of spreadsheet cells effortlessly, which is something I struggle with (especially when it comes to budgeting). I need a big picture, ideally represented in a neat, visual chart or graph that clearly illustrates our financial forecast.
Then there’s the issue of access and updates. Trying to maneuver a spreadsheet on your phone in the middle of a grocery store is far from convenient. And if you make an unplanned purchase, updating the sheet without disrupting the formulas can be a real hassle, especially on a phone. This frustration made me think, “There has to be a better solution!”
Imagining the Ultimate AI Personal Finance Platform
Imagine an AI personal finance platform that “automagically” forecasts the future, securely connects to your bank and credit cards to pull transaction histories, and creates a budget considering dynamic and bucketed savings goals. This dream app would translate data into a clear dashboard, visually reporting on aspects like spending categories, monthly trends in macro and micro levels, amounts paid to interest, debt consolidation plans, and more.
It’s taken eight years of experiencing my partner’s budget management to truly understand a common struggle that many other families in the U.S. face: Advanced spreadsheet functions, essential in accounting and budgeting, are alien to roughly 73% of U.S. workers.
Money Magnet aims to automate 90% of the budgeting process by leveraging AI recommendations about users’ personal finances to solve eight of the key findings outlined in a mock research study based on some of the challenges I had faced when developing a budget of my own.
Features to Simplify Your Finances
This dream budgeting tool is inspired by my own financial journey and the collective wish list of what an ideal personal finance assistant should be. Here’s a snapshot of the personal finance AI features that aims to position Money Magnet as one of the top AI financial tools on the market:
Effortless Onboarding: Starting a financial journey shouldn’t be daunting. Money Magnet envisions a platform where setting up accounts and syncing banking information is as quick and effortless as logging into the app, connecting your bank accounts, and establishing some savings goals (if applicable).
Unified Account Dashboard: Juggling multiple banking apps and credit card sites can be a circus act, trying to merge those separate ecosystems as a consumer is nearly impossible. Money Magnet proposes a unified dashboard, a one-stop financial overview that could declutter your digital financial life.
Personalized AI Insights: Imagine a platform that knows your spending habits better than you do, offering bespoke guidance to fine-tune your budget. Money Magnet aims to be that savvy financial companion, using AI to tailor its advice just for you.
Vivid Data Visualization: For those of us who see a blur of numbers on statements and spreadsheets, Money Magnet could paint a clearer picture with vibrant graphs and charts—turning the abstract into an understandable, perceivable, engaging, and dynamic visual that encourages you to monitor the trends.
Impenetrable Security: When dealing with informational and financial details, security is non-negotiable. Money Magnet will prioritize protecting your financial data with robust encryption and authentication protocols, so your finances are as secure as Fort Knox.
Intelligent Budget Optimization and Forecasting: No more cookie-cutter budget plans that force your spending to fit conventional categorization molds! Money Magnet will learn user preferences in AI finance and forecast from your historic spending, suggesting ways to cut back on lattes or add to your savings—all personalized to improve your financial well-being based on your real-world spending and forecast into the future to avoid pinch-points.
Smooth Bank Integrations: Another goal of Money Magnet is to eliminate the all-too-common bank connection hiccups where smaller banks and credit unions don’t get as much connectivity as the larger banks, ensuring a seamless link between your financial institutions and the app.
Family Financial Management: Lastly, Money Magnet should be a tool where managing family finances is a breeze. Money Magnet could allow for individual family profiles, making it easier to teach kids about money and collaborate on budgeting without stepping on each other’s digital toes or overwriting a budget. It’s important for those using Money Magnet to know it can’t be messed up, and that any action can always be reverted.
See the Money Magnet Final Projects During Our Closing Ceremony on March 28
Attend the Hackonomics 2024 Showcase and Awards Ceremony on March 28 and see how our participating hackathon teams turned these eight pillars of financial management into a reality through their Money Magnet projects. The event is online, free of charge, and open to the public. Hope to see you there!
The landscape is shifting. The reality is that artificial intelligence (AI) is fundamentally altering everything—upending industries, redefining roles, and transforming how we approach everyday tasks like writing emails and touching up selfies. In the last three years, Generative AI models have advanced significantly, making tools like OpenAI’s ChatGPT accessible to just about everyone for optimizing workflows and enhancing productivity. This integration of AI across such a vast array of platforms signifies a new baseline for business operations and innovation.
It’s hard to miss—almost every headline about tech concerns AI’s potential impact on the future. However, no one has a magic ball to predict the norm of the future. Executives don’t understand AI or their team’s proficiency with AI tools, so they are uncertain about how to implement AI in their organizations. Analysts and futurists are making educated guesses about the effects of AI. Some are predicting the automation of everything. Some are predicting the creation of a new era of human flourishing. It’s confusing, leaving us with significant uncertainty about the potential and limitations of AI technologies and the ways specific industries and jobs may change.
This article discussed the continued importance of software engineering in the AI era and how AI can complement and expand these skills in the coming years.
Is Software Engineering Still a Viable Career Path?
In short, yes. The tech industry is constantly changing and adapting. The creation of personal computers was a massive technological shift that was met with trepidation and concern and resulted in an enormous explosion in products and jobs. Frameworks, testing, and automation techniques have evolved for decades, creating significant productivity gains. The truth is that AI-assisted coding has been available to developers for years, and most of the potential gains of emerging technologies aren’t far out of line with the work that has happened in the past.
Despite all of this, software engineering skills remain essential. The demand for skilled engineers is expected to grow by 25% in the next 5-6 years. That growth is driven by digital transformation and AI integration across all sectors. Software engineering is evolving to accommodate AI, necessitating a shift in skills while remaining foundational to the development of digital products. Its foundational pillars—programming, problem-solving, creativity, and complex system design—are as relevant as ever.
Programming Proficiency & Application Development
The fundamental role of coding in software engineering isn’t likely to change any time soon. Python and JavaScript are pivotal languages that every programmer will need to know. These languages support AI and ML projects and the frameworks that power modern applications.
Python libraries, like TensorFlow, NumPy, Keras, and Scikit-learn, are foundational tools for AI and machine learning development. JavaScript has front-end and back-end development applications through frameworks like Node.js, Vue, and React, bringing AI capabilities to web interfaces. As AI integration deepens, the essence of coding as a skill—conceptualizing and creating digital solutions—will be invaluable. The development of future products will require deep programming and product development knowledge.
We teach these languages in most of our programs because of the popularity and versatility of Python and JavaScript, but they aren’t the only viable options. Languages like Java, PHP, and C# are also highly utilized in modern programs. Whatever language you learn, coding skills transcend specific languages; by learning to code, you learn problem-solving, system design, and adaptability. With AI tools automating tasks and generating code, software engineers can focus on higher-level problem-solving and creativity. This partnership with AI enhances efficiency and highlights the importance of programming knowledge. Engineers need to understand code to oversee AI’s contributions effectively, ensuring applications are efficient, scalable, and ethical.
Understanding AI and ML Principles
Engagement with AI projects is growing—a look at Github’s annual report shows a massive spike in AI-related projects. Developers are adapting to incorporate these new technologies in their toolkits. Software engineers must understand how to integrate AI into their projects, extending beyond traditional applications to include AI-driven functionalities like image recognition and language translation.
Knowledge of AI principles will be critical for addressing complex challenges. Not every engineer will need to be a data scientist, but familiarity with AI and ML concepts will become more essential with time. This knowledge is vital for software engineers in two ways:
The ability to implement existing AI models. You must know how to use AI tools and incorporate them into products. For example, programming knowledge will help you interact with APIs, but you’ll also need to understand the model parameters and how to tune them to get the output you want. This takes some familiarity with AI concepts and a working knowledge of manipulating models for a desired outcome. Your knowledge of Python and development practices will be helpful here, as many of the most advanced AI and machine learning models are accessible via Python.
Understanding how these technologies can be leveraged to solve real-world problems. This will soon become a real differentiator. Understanding models well enough to leverage them for specific circumstances will be critical in the future. Most of the recent discussion has been around Generative AI language models. Still, dozens of models exist for specialized purposes and work far better than ChatGPT for solving particular problems. For instance, we could implement a chatbot in a web application. What model should we use? Why that model? How can it be customized for the best user experience? These are the questions that developers will be asked in the future.
Creativity, Problem-solving, and Ethics
As AI becomes more embedded in software development and our everyday lives, the emphasis on ethical considerations and responsible use of AI will be magnified, and unique human skills such as creativity, empathy, and ethics will become more critical. AI can automate tasks, enhance workflow efficiencies, and augment the capabilities of software developers through tools like GitHub Copilot for code suggestions or automated testing and debugging tools. However, the essence of product design and development—understanding user needs and ethical implications, as well as ensuring accessibility—remain deeply human tasks that AI cannot replicate.
This evolving landscape necessitates a collaborative approach, requiring software engineers to work closely with data scientists, ethicists, and other stakeholders to ensure AI is used responsibly and beneficially.
Navigating the Future of Software Engineering with AI
Integrating AI into software engineering is a shift towards a more dynamic, efficient, and innovative approach to technology development. However, the human element is still as relevant today as it was 20 years ago. We may not know what the future holds, but we do know a few things:
AI is reshaping all industries, not just tech. This means that technical skills will become increasingly important regardless of profession because you’ll need to work with these technologies whether you are a developer or not. Even if you move into another industry—retail, aerospace, medical, finance, etc.—all these industries will soon require some understanding of AI and the skills to work with it.
Coding is becoming table stakes for everyone. Many middle and high schools in the US already teach some basic coding to prepare learners for a future where all industries are more dependent on a tech-savvy workforce. Prompt engineering, software development, and communication skills will become more valuable over time, so getting a head-start by learning to code is always a solid career choice.
The world needs intelligent, creative, and informed professionals to create the next generation of technologies. As AI technology becomes more accessible, one’s ability to use AI as a platform for innovation and advancement in all sectors will be the differentiating skill set. The reality is that companies are currently deciding how to optimize their workforces by augmenting current products with AI, but that won’t last long.
Next-Gen AI Tools
The next generation of AI-powered tools and processes will enable the rapid development of new products and experiences. Efficiency gains may help companies in the short term by reducing costs. But, that effect will diminish significantly as product development cycles speed up. To stay competitive, companies must innovate and build products faster and at a higher quality. More products, more experiences, more competition. In the long run, AI will almost certainly create more technical jobs than it will displace. Still, future jobs will require workers to display high efficiency, communication skills, intelligence, and training in multiple technical domains.
Future Roles in Software Engineering with AI Integration
As AI becomes more intertwined with software engineering, new roles may emerge that will displace some traditional programming roles. New roles like Prompt Engineer, AI Quality Assurance Manager, and AI Ethics Officer are emerging and growing in response to the rapid adoption of AI into workflows and product solutions. These roles will also likely adapt with time, so we can’t expect to know the exact titles 5-10 years from now.
However, considering Generative AI’s known capabilities and limitations, we can speculate how it will impact software engineering roles.
Full-Stack Developer:Developers manage front-end and back-end systems. They write business logic, implement user experiences, and incorporate AI features to enhance user experiences and backend efficiencies. These developers will use languages like Python and JavaScript to develop full-stack products incorporating adaptive content and intelligent data systems. Understanding AI will enable these developers to create more responsive and smart applications.
Front-end Developer: Front-end developers create the interfaces we interact with every day. They create every page you see on the web with Javascript, HTML, and CSS and build applications using popular frameworks like React, Vue, and Svelt. Front-end developers can leverage user data to create personalized experiences, utilizing AI algorithms to tailor content and interfaces to individual preferences.
Back-end Developer: These developers create the server applications that talk to other systems and serve content to front-end applications. They build APIs, interact with databases, and make secure web applications by implementing authentication and validation. These developers will increasingly rely on AI for data processing and analysis, optimizing server-side operations, and enabling more sophisticated data-driven functionalities.
The Future is Bright
As AI continues to evolve, so will the roles and skills required in the field. Learning software development will give you many essential skills for the future. You’ll learn to code, work through complex problems, collaborate and communicate with stakeholders, work with AI tools, and start a lifelong growth journey.
Now is the time to embrace a life of continuous learning and ethical considerations that will be essential for those looking to lead the way in this new era. It’s never too late to start coding. We’ll see you at the keyboards!
Most software engineers end up using multiple programming languages throughout their careers. The great thing about programming languages is that certain core principles or concepts translate easily across languages. Once you learn and understand the building blocks of code, you’ll be able to pick up any technology on your own. Programming variables, data types, and operators are three of the most common building blocks across programming languages. In this post, we will be briefly exploring each of these fundamental concepts.
I’ll be using Python examples since concrete examples are more illustrative. But the concepts will easily translate to other languages.
Understanding Data Types in Programming
A computer does not understand information like humans do. For example, when we look at a text or string like “Hi! My name is Al!” or a number like “10” we can distinguish between them easily. We understand that strings and numbers have different properties and are used in various contexts.
The computer cannot distinguish between different types of information automatically. There are unique ways to represent values so that the computer can differentiate them. Each unique type of value is assigned a “data type” to classify or organize them, allowing us to know what contexts a certain value can be used.
We will look at the most common data types used in Python:
str: Represents text or string values
int: Represents integer number values (whole numbers like 1, 5)
float: Represents floating-point numbers (decimal numbers like 1.556, 3.14)
bool: Represents the idea of correctness, (i.e., whether something is true or false)
String Values
We use the values of the str data type to represent textual information to the computer. Quotation marks are usually used to denote text as “string” in programming languages.
Here are some examples in Python:
Here’s the output of the above code:
Notice a few important things:
The text is displayed exactly as it is written (i.e., the string values are case-sensitive)
Numbers wrapped in quotation marks are treated as strings
Single and double quotations can be used together. The opening and closing quotation marks must be the same. For example, we can’t start a string with a double quotation mark (“) and close it with a single quotation mark (‘).
Numbers
We can represent numbers by writing them without the quotations.
A few notes on the code:
Numbers written without quotations are interpreted as numerical values
A whole number (both positive and negative) is categorized as an “integer”
A decimal number (both positive and negative) is categorized as “float”
Bool or Boolean
Human languages have the concept of correctness. For example, the sentence “elephants can fly” is incorrect or false. Similarly, computers also understand this concept. Programming languages provide a boolean data type (bool in Python) to express this concept.
In Python, the following values represent this concept:
True: indicates correctness in Python
False: indicates incorrectness in Python
Basic Operators in Programming
In mathematics, we can perform calculations using operators like +, -, / and so on. Programming languages also provide operators to perform calculations using values. Here’s an example of addition:
Output:
Operators are usually used within expressions to get desired results.
What is an Expression?
An “expression” in Python is any code that evaluates to a value. A single value is also an expression. Here are a few examples:
1 produces 1
“Hello!” produces “Hello!”
5 * 2 produces 10
num > 100 produces either True or False
An expression can contain multiple expressions within it. Let’s take a look at a more complex expression:
The above line of code has five expressions:
5 (produces 5)
2 (produces 2)
3 (produces 3)
5 + 2 (produces 7)
(5 + 2) + 3 (produces 10)
Here’s the expression used with the print function in Python:
The computer evaluates the expression by simplifying it incrementally. Here are the intermediate steps that are hidden from us:
Expressions in parentheses are evaluated first.
Variables in Coding
Variables are a way to make the computer remember values. A variable is a label to which a value can be assigned.
Variables allow programmers to give meaning to values and use those values throughout the program easily. For example, the number 238,900 doesn’t mean anything but if we label it as “the distance to the Moon from the Earth” it’s easier to reference. We don’t necessarily have to remember the exact value as we can look it up using the phrase “distance to the moon from the Earth.”
Here’s how we would use a variable in Python:
We can use _ (underscore) to make big numbers easier to read in Python. Notice that we’re also using the _ to separate words in the variable name.
Output:
Variable Declaration and Assignment Walkthrough
Let’s look at how to create a variable again:
There are three parts to this line:
cat_name is the variable name
= is an assignment operator
‘Fifi’ is an expression that produces the value Fifi of type str.
So this is the general structure:
The right side of the = operator is evaluated first
The value produced by the expression evaluation is then assigned to the variable name or label
The line cat_name = ‘Fifi’ is usually verbalized as “declare a variable called cat_name and assign the value ‘Fifi’ to it”
Learn About Programming Variables and More at Flatiron
If you’d like to learn more about foundational concepts such as fundamental data types, programming variables, operators, and functions, check out Flatiron School’s Software Engineering Bootcamp. You’ll find info on upcoming course start dates, career paths in the field, student success stories, and an FAQ.
Here’s a fact: Employers are seeking candidates with hands-on experience and expertise in emerging technologies. Portfolio optimization using Artificial Intelligence (AI) has become a key strategy for people looking to break into the tech industry. Let’s look at some of the advantages of having an AI project in a portfolio, and how portfolio optimization with AI can be a possible game changer in regards to getting your foot in the door at a company.
The Pros of Having AI Projects in a Portfolio
For people seeking to transition into the tech industry, having AI projects in their portfolios can be a game-changer when it comes to landing coveted roles and advancing their careers. By showcasing hands-on experience with AI technologies and their applications in real-world projects, candidates can demonstrate their readiness to tackle complex challenges and drive innovation in any industry. Employers value candidates who can leverage AI to solve problems, optimize processes, and deliver tangible results, making AI projects a valuable asset for aspiring tech professionals.
Achieving portfolio optimization with AI by integrating AI into portfolios is quickly becoming a cornerstone of success for tech job seekers. However, portfolio optimization with AI involves more than just adopting the latest technology. It requires a strategic business approach and a deep understanding of Artificial Intelligence. Below are details about Hackonomics, Flatiron School’s AI-powered budgeting hackathon.
The Components of Flatiron’s AI Financial Platform Hackathon
Identifying the Right Business Problem
The Hackonomics project revolves around cross-functional teams of recent Flatiron graduates building an AI-driven financial platform to increase financial literacy and provide individualized financial budgeting recommendations for customers. Identifying the right business problem entails understanding the unique needs and challenges of a target audience, ensuring that a solution addresses critical pain points and that the utilization of AI delivers tangible value to users.
AI Models
At the core of Hackonomics are machine learning models meticulously designed to analyze vast amounts of financial data. These models will enable the uncovering of valuable insights into user spending patterns, income sources, and financial goals, laying the foundation for personalized recommendations and budgeting strategies.
Software and Product Development
As students develop their Hackonomics projects, continuous product development and fine-tuning are essential for optimizing performance and usability. This involves iterating on platform features (including UI design and SE functionality) and refining AI algorithms to ensure that the platform meets the evolving needs of users and delivers a seamless and intuitive experience.
Security and Encryption
Ensuring the security and privacy of users’ financial data is paramount. The Hackonomics project incorporates robust security measures, including encryption techniques, to safeguard sensitive information from outside banking accounts that need to be fed into the platform. Additionally, multi-factor authentication (MFA) adds an extra layer of protection, mitigating the risk of unauthorized access and enhancing the overall security posture of our platform.
Join Us at the Hackonomics Project Showcase on March 28
From March 8 to March 25, graduates of Flatiron School’s Cybersecurity, Data Science, Product Design, and Software Engineering bootcamps will collaborate to develop fully functioning AI financial platforms that analyze user data, provide personalized recommendations, and empower individuals to take control of their financial futures.
The Hackonomics outcomes are bound to be remarkable. Participants will create a valuable addition to their AI-optimized project portfolios and gain invaluable experience and skills that they can showcase in job interviews and beyond.
The judging of the projects will take place from March 26 to 27, followed by the showcase and awards ceremony on March 28. This event is free of charge and open to prospective Flatiron School students, employers, and the general public. Reserve your spot today at the Hackonomics 2024 Showcase and Awards Ceremony and don’t miss this opportunity to witness firsthand the innovative solutions that emerge from the intersection of AI and finance.
Are you interested in learning about how software engineering, data science, product design, and cybersecurity can be combined to solve personal finance problems? Look no further, because Flatiron’s AI-powered budgeting hackathon—Hackonomics—is here to ignite your curiosity.
This post will guide you through our Hackonomics event and the problems its final projects aim to solve. Buckle up and get ready to learn how we’ll revolutionize personal finance with the power of AI.
Source: Generated by Canva and Angelica Spratley
Unveiling the Challenge
Picture this: a diverse cohort of recent Flatiron bootcamp graduates coming together on teams to tackle an issue that perplexes and frustrates a huge swath of the population—personal budgeting.
Hackonomics participants will be tasked with building a financial planning application named Money Magnet. What must Money Magnet do? Utilize AI to analyze spending patterns, income sources, and financial goals across family or individual bank accounts.
The goal? To provide personalized recommendations for optimizing budgets, identifying potential savings, and achieving financial goals through a dynamic platform that contains a user-friendly design with interactive dashboards, a personalized recommendation system to achieve budget goals, API integration of all financial accounts, data encryption to protect financial data, and more.
The Impact of AI in Personal Finance
Let’s dive a little deeper into what this entails. Integrating AI into personal finance isn’t just about creating fancy algorithms; it’s about transforming lives through the improvement of financial management. Imagine a single parent struggling to make ends meet, unsure of where their hard-earned money is going each month. With AI-powered budgeting, they can gain insights into their spending habits, receive tailored recommendations on how to save more effectively, and ultimately, regain control of their financial future. It’s about democratizing financial literacy and empowering individuals from all walks of life to make informed decisions about their money.
Crafting an Intuitive Technical Solution Through Collaboration
As the teams embark on this journey, the significance of Hackonomics becomes abundantly clear. It’s not just about building an advanced budgeting product. It’s about building a solution that has the power to vastly improve the financial health and wealth of many. By harnessing the collective talents of graduates from Flatiron School’s Cybersecurity, Data Science, Product Design, and Software Engineering bootcamps, Hackonomics has the opportunity to make a tangible impact on people’s lives.
Let’s now discuss the technical aspects of this endeavor. The platforms must be intuitive, user-friendly, and accessible to individuals with varying levels of financial literacy. They also need to be up and running with personalized suggestions in minutes, not hours, ensuring that anyone can easily navigate and understand their financial situation.
Source: Generated by Canva and Angelica Spratley
Embracing the Challenge of Hackonomics
Let’s not lose sight of the bigger picture. Yes, the teams are participating to build a groundbreaking platform, but they’re also participating to inspire change. Change in the way we think about personal finance, change in the way we leverage technology for social good, and change in the way we empower individuals to take control of their financial destinies.
For those participating in Hackonomics, it’s not just about building a cool project. It’s about honing skills, showcasing talents, and positioning themselves for future opportunities. As participants develop their AI-powered budgeting platforms, they’ll demonstrate technical prowess, creativity, collaborative skills, and problem-solving abilities. In the end, they’ll enhance their portfolios with AI projects, bettering their chances of standing out to potential employers. By seizing this opportunity, they’ll not only revolutionize personal finance but also propel their careers forward.
Attend the Hackonomics Project Showcase and Awards Ceremony Online
Participation in Hackonomics is exclusively for Flatiron graduates. Participants will build their projects from March 8 through March 25. Winners will be announced during our project showcase and awards ceremony closing event on March 28.
If you’re interested in attending the showcase and ceremony on March 28, RSVP for free through our Eventbrite page Hackonomics 2024 Showcase and Awards Ceremony. This is a great opportunity for prospective students to see the types of projects they can work on should they decide to apply to one of Flatiron’s bootcamp programs.
By continuing your journey on our site, you consent to the placement of cookies. To learn more about how we use cookies or how you can disable them, please see our Cookie Policy.
This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
Cookie
Duration
Description
cookielawinfo-checkbox-analytics
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional
11 months
The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy
11 months
The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
