🐍 Sharing Python-related educational resources 💡Get evergreen Python content 💡Learn from what's best for you 💡Maximize your coding skills

📌 Sharing recent as well as evergreen resources 📌 Variety of resources for all levels & learning styles 📌 Pick what you like, then learn & build! Repository currently under construction. Reply with your favorite Python resources 👇
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Iterables, Iterators, Containers, Sequences "This is an Iterator." "No, IterABLE!" "Maybe it's a sequence then?" Confusing terms? Surely. Doesn't have to be. Get it clarified here:
––– Mid-Series Roundup (Day 5.5) ––– Let's review the terms we've seen so far but in a different order to how I presented them in this series Let's start with three “top-level” categories: • Iterable • Container • Sized 1/
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"The most dangerous phrase in the language is, 'We have always done it this way.'" - Grace Hopper
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"Copy and paste is a design error." - David Parnas
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Python Pandas Loc And Iloc Python Pandas is an essential Data Science skill. And within Pandas, selecting the rows & columns you need, is a fundamental operation. How do you do that? loc and iloc functions. Read more:
Day8⃣ of #Python Series 🐍 ✅Topic - loc() & iloc() function in #Pandas🐼 ▶️Learning to use #loc & iloc in Pandas is like having superpowers for picking & working with data in Python ▶️loc is about using names, while #iloc is about using numbers 🧵👇
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"We get things wrong before we get things right." - Alistair Cockburn
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Python F-Strings f-strings have become WILDLY popular since their introduction. Why? They are simple, effective, and effective! Practically all modern code uses them. Get started with Python f-strings:
Day2⃣ of Python Series 🐍 ⚡️ Topic -- f-string in #Python ✅f-string also known as a formatted #string literal, is a way to embed expressions inside string literals 🧵👇
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The Zen Of Python Timeless advice about writing software. You can read it by typing `import this` at the REPL, but here is the link to the PEP 👇
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"The function of good software is to make the complex appear to be simple." - Grady Booch
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Jupyter Notebook Jupyter Notebooks are your go-to tool, especially if you're doing Data Sciencey stuff. It pays to improve your workflow with those. This thread covers: - Markdown - Magic - Notebooks on the Cloud
Jupyter Notebooks are AWESOME for anything related to Python, Data Science, Machine Learning. A short thread 🧵on how you can use it better
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A Practical Roadmap For Python Learners You set yourself up for success by: - following a clear structure - setting time frames
Python Roadmap: From Beginner to Pro in a year
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"My favorite language for maintainability is Python. It has simple, clean syntax, object encapsulation, good library support, and optional named parameters." - Bram Cohen
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How Do You Define A Function In Python? Diagram + Thread on Defining Functions in Python Great for all visual learners!
This is a complete diagram of how you define a function in Python 🐍
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"A program that produces incorrect results twice as fast is infinitely slower." - John Osterhout
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Django Vs. Flask: Choose The Right Frameword For Python Webdev Django and Flask are both popular alternatives for Python web development. They have different strengths and philosophies. Read to find which is suitable for you...
Django vs. Flask: Which Framework to Choose testdriven.io/blog/django-vs… (just updated! 🚀) Looks at: 🔹Philosophy 🔹Features 🔹Security 🔹Flexibility 🔹Education 🔹Open Source 🔹Hiring 🔹Use Cases 🔹Performance #Django #Flask #Python 🐍
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List Indexing Infographic Quick pictorial reference for List Indexing:
Explained in a picture: List Indexing in #Python
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Breakpoint function in Python With the breakpoint function, you don't need an IDE to debug! Just put a breakpoint where required, and run your program like usual.
💡🐍 In Python 3.7, the breakpoint function was introduced. If you want to debug your Python code just from the command line, here is what you need 👇
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The Official Python Docs The docs provide the most comprehensive information. They are a little dense to read sometimes, but it's worth the effort to get used to reading them. 👇
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"What I cannot create, I do not understand." - Richard Feynman
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