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Python Tutorials and Resources

Python is an invaluable programming language to know — it’s widely-used in fields like data science, web development, software engineering, game development, automation. But what’s the most effective way to learn Python? That can be difficult and painful to figure out. I know that from experience...So here are some resources to help you learn the basics of Python and the advanced skills that are taught in Python courses!

Python Intro For Beginners

An Intro To Python - Harvard's CS50 Course Video & Course Notes: CS50 is a free, on-line introduction to computer science, created by David J. Malan at Harvard University. This course provides an exciting but challenging environment for students with very basic or no prior programming experience (true freshmen or true sophomores) to learn how to think computationally and reason about programs. The web site also provides an extensive collection of links to books, other courses, instructional videos/lectures, homework systems/forums/bug trackers/etc., software development kits (SDKs), etc. That might be helpful to you in learning Python!

Python vs Other Languages

Python is a general-purpose programming language. It’s easy to use, but also powerful enough to create large programs. Because of that, it’s popular in different industries (data science, web development, etc.) as well as hobbyists who just like to code. This tutorial will focus on learning Python specifically, rather than other languages like C++ or Java — if you’re interested in those other languages instead, check out our guides on Java and C++. There are pros and cons to using Python vs other languages: it’s faster to learn than JavaScript or Ruby (which are both interpreted languages) but slower than compiled languages like C++. However — one thing that makes Python so powerful is its diversity!

What Next After Python 101

Coding is fun, but it doesn’t stop after learning Python 101. There are all sorts of ways to continue learning: courses, tutorials, webinars, meetups (if you’re looking for in-person events), books/ebooks, videos—the list goes on. If you’re brand new to coding or Python specifically and have no idea where to start, check out some of these resources.

Where Do I Go From Here?

It’s easy to get lost when learning Python. There are so many tutorials, books, lectures, courses, etc., to learn from. I wanted to make a list of all of my favorite resources to help others avoid getting lost in their Python journey. If you know of a resource that you think should be on my list, please leave it in the comments section below! I’ll continuously update my list as I find relevant materials that will help people learn how to program in Python! Also feel free to ask any questions if you get stuck along your way! Happy coding :)

Python Libraries For Data Science.

First, it’s worth pointing out that Python has its own libraries (packages) for data science. The official Python Packaging Index contains over 100 such packages that can be easily downloaded, installed, and used in your projects. SciPy is an excellent collection of open-source software tools for mathematics, science, and engineering. NumPy extends Python with a powerful N-dimensional array object and associated high-level math functions to go along with it. Pandas is a versatile set of easy-to-use data structures for both seasoned analysts or beginners alike to work with structured or labeled data sets.

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