Why should you learn Python? As Your Next or First Programming Language

Posted by Infocampus HR on January 19th, 2018

What is Python?

Python is a really popular programming language used by companies like Google, Facebook, Dropbox, Instagram, and Reddit. Python is used for all sorts of things like building websites, web scraping, data analysis, machine learning, and natural language processing. The language is designed to be easy to read, while still being very powerful, which makes it a great language for beginners to learn.

Why Python and not Rails?

Both are good to learn, but Python is especially good for data analytics and sciency-type stuff. It has a lot of coding tools that make things like statistics easier to do. Rails on the other hand is specifically meant to help you build websites.

What are the different language options out there? Why is Python a good place to start?

There are a lot of potential programming languages out there: C, C++, Go, Java, Javascript, PHP, Python, Ruby, Swift being some of them. But if you were to start anywhere, I’d recommend either Python or Ruby. They both have huge developer communities with lots of resources that are friendly for beginners to learn, and there are features of the language that are easier for beginners to learn (for reasons it would be hard to explain here, but for example like they don’t require ; after every line or do crazy iterative for loops like Javascript.)

How did you teach yourself Python, personally? Why did you learn it?

I taught myself using a bunch of online resources such as Learn Python the Hard Way, Infocampus. I learned it because I wanted to be able to compare what it would be like learning a language different from the one I know (Ruby), and I wanted to see what all the fuss what about, and also I wanted to teach this class.

Any cool things you’re doing with Python right now?

Web scraping and data processing I’m doing with Python, but not regularly or anything like that. I’m still more comfortable with Ruby, so I’d probably use that more often.

What kinds of things can you build with Python?

Honestly, just about anything you can build with other programming languages like C++ or Ruby. You can build: websites, web scrapers, crawlers, scripts, interact with APIs, build your own APIs, build automated and messaging bots, make phone calls and send text messages, do machine learning, data analytics, natural language processing, statistical models, just about everything besides iPhone and Android apps (though you can build parts of those in Python).

What kinds of projects will we learn in your class? What will we build?

We’ll write scripts that calculate things for us, automate tasks, get data from APIs like stock prices and the weather, built a bot that sends text messages, write a web scraper, and build a web application.

(Yes, you’ll be able to do all of that within 30 days.)

Who is this course for?

This is for anyone who is a beginner and wants to learn Python but doesn’t know where to start.

Who is it not for?

This is not for experienced developers. It’s also not for people who are already really busy or who aren’t serious about learning something new.

The process can take a while and be frustrating, so you need to have time and patience. It’s also not really for people who don’t see a benefit in knowing how to code somehow in their life. I mean, you could learn it just out of curiosity, but unless you’re trying to get a job as a developer, automate some of your work with scripts, or apply the knowledge in some way, you’ll probably not be committed enough to remember all this stuff.

How much time do you think a student should spend on Python each week in your course?

We ask our students to take at least 30 minutes a day to work on our course. Some people do the work on the weekends and spend 3-4 hours on the weekends to watch the videos, do the projects, and figure things out. (Sometimes people get really excited and dig deeper into the research project and take 6-8 hours or more each week of class. It’s up to you to customize.)

The one thing I would recommend is making sure you do all of Week 1’s assignments during Week 1, and Week 2 during Week 2, because the benefit of these live courses is that you can ask questions, get feedback, and talk to other students who are working on the same projects you are.