Python has become one of the most crucial programming languages for candidates to showcase on their resumes. And this makes sense as well. Python is a pure test of one's knowledge of logic and algorithms, as it's almost like the English language (what is left is the computational thinking). The same reason, combined with the language's simplicity, versatility, and community support, makes it an excellent choice to learn Python for beginners. However, learning Python without a structured approach just makes the task more challenging than it actually needs to be. This blog will do its job to inform you of the best free resources, tools, and structured paths to kick-start your Python learning journey.
Can there really be a better teacher for a programming language than the tech giant itself? The 2-day course led by Nick Parlante, a CS lecturer at Stanford, focuses on teaching students who have an introductory experience in programming. It features lecture videos, written materials, and hands-on exercises.
There is no considerable contender for Harvard and David J. Malan when it comes to teaching programming concepts. Continuing the CS50 legacy, this course (generally abbreviated as CS50P) focuses solely on Python and teaches the basics through real-world examples and exercises. The course can be pursued through the Harvard website (provides a Harvard certification on completion) or from the edX website (provides a verified certificate).
MIT's 6.0001 is an OpenCourseWare program instructed by Dr. Ana Bell, Prof. Eric Grimson, and Prof. John Guttag. What sets this program apart from the other two is that it builds a strong foundation in programming and computational thinking. Students can enroll in the uncertified course on MIT's website or through edX to obtain a verified certificate.
LearnPython is an interactive website that enables students to learn and execute code snippets directly within their browsers. It's ideal if you aim to start learning to write Python programs simultaneously while you learn.
Codecademy's Learn Python series is highly recognized in the industry for its foundational knowledge, with guided curricula centered around real coding projects. The course is provided on a freemium model, with some of its content and certification restricted behind a paywall.
Tutorials are all good, but don't get into a learning loop. As necessary, it is to acquire fresh knowledge; it is equally important to apply it to practical problems. Make a habit of visiting the following platforms daily:
Additionally, enhance your GitHub presence by contributing to open-source projects. It improves both your skills and portfolio simultaneously.
Knowledge doesn't need to have a price tag. If you have the will to do it, you can make it possible with free resources for Python. With free books, platforms, courses, and a structured learning path, your first step to becoming a Python programmer can be taken today.
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