Deciding on a first programming language to learn can be overwhelming. We recently hosted an online lecture to help students better understand a few of their options and decide what’s right for them. Our co-founder and Dean Avi Flombaum also explained why, at Flatiron School, we believe in building a coding foundation with a combination of […]
Reading Time 1 min
Deciding on a first programming language to learn can be overwhelming. We recently hosted an online lecture to help students better understand a few of their options and decide what’s right for them.
He highlighted three reasons for this approach:
1. To make you more a versatile developer.
“I don’t get the value of knowing just one language,” Avi says. “I want the right tool for the job. If you only know one language, you’re pigeonholing yourself into using one approach for everything.”
2. To hone the skill of learning new languages.
Working as a developer, you will need to learn new languages (maybe even as early as your first day on the job). Learning more than one language—and starting to recognize patterns, abstractions, and commonalities between languages—at the beginning of your coding education better prepares you to continue learning new languages in the future.
3. To get you ready for your first job and a lifelong career as a developer.
Learning both languages opens up more immediate job options for your first job as a developer, and prepares you to keep on learning new languages and technologies as the job market and tech landscape evolve. “The most consistent thing in technology is that everything is going to change,” Avi states. “Eventually, you will need to know more than one language if you want to have an awesome career and build deep, meaningful things. So, why wait?”
Interested in a deeper exploration of the differences between the languages and how they complement each other? You can view the full online lecture below
Posted by Flatiron School / July 13, 2016
Learn to Code Python: Free Lesson for Beginners
What is the difference between a data analyst and a data scientist?
While data analyst and data scientist roles attract similar types of creative and logical people, their roles do have stark differences. Here’s our breakdown of the lines between these often mixed up roles.