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Ultimate Python study guide for newcomers and professionals alike. 🐍 🐍 🐍

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Ultimate Python study guide

Ultimate Python study guide for newcomers and professionals alike. 🐍 🐍 🐍

print("Ultimate Python study guide")

Motivation

I created a GitHub repo to share what I've learned about core Python over the past 5+ years of using it as a college graduate, an employee at large-scale companies and an open-source contributor of repositories like Celery and Full Stack Python. I look forward to seeing more people learn Python and pursue their passions through it. 🎓

Goals

Here are the primary goals of creating this guide:

🏆 Serve as a resource for Python newcomers who prefer to learn hands-on. This repository has a collection of standalone modules which can be run in an IDE like PyCharm and in the browser like Repl.it. Even a plain old terminal will work with the examples. Most lines have carefully crafted comments which guide a reader through what the programs are doing step-by-step. Users are encouraged to modify source code anywhere as long as the main routines are not deleted and run successfully after each change.

🏆 Serve as a pure guide for those who want to revisit core Python concepts. Only builtin libraries are leveraged so that these concepts can be conveyed without the overhead of domain-specific concepts. As such, popular open-source libraries and frameworks (i.e. sqlalchemy, requests, pandas) are not installed. However, reading the source code in these frameworks is inspiring and highly encouraged if your goal is to become a true Pythonista.

Table of contents

📚 = External resource, 🍰 = Beginner topic, 🤯 = Advanced topic

  1. About Python
  2. Syntax
  3. Data Structures
  4. Classes
  5. Advanced

Additional resources

👔 = Interview resource, 🧪 = Code samples, 🧠 = Project ideas

GitHub repositories

Keep learning by reading from other well-regarded resources.

Interactive practice

Keep practicing so that your coding skills don't get rusty.

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