Hello everyone,

I’ve received many requests for PDFs on different Python libraries. Currently, we have PDFs for Python and Pandas, but I’m working on more, including NumPy and Matplotlib etc! Once they are ready, I’ll update you.

In the meantime, if you’re looking for helpful resources, check out our Telegram channel, where I’ve shared some free materials available on the internet that you can try.

Stay tuned for more updates! 🚀

Best,
PyCode.hubb

Essential Real-World Datasets for Data Science Projects

Discover high-quality datasets to build, test, and enhance your data science skills with real-world applications.

Download Datasets For Projects

AI & Data Scientist Roadmap ✌️

Don't forget to like ❤️ and share with friends so they can benefit too—completely free!

Thank You!

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📍 Python Roadmap for Beginners

|_ 🐍 Introduction to Python
|_ 📦 Modules, Comments, & Pip
|_ 🔢 Variables, Data Types, Keywords & Operators
|_ 📊 Python Data Types in Detail
|_ 🔁 Flow Control in Python
|_ 🔄 Loops in Python
|_ 📝 String Operations (Advanced)
|_ 🏗 Functions in Python
|_ 📂 File Handling in Python
|_ 🏛 Object-Oriented Programming (OOP)
|_ ⚠️ Exception Handling

📌 Want to master Python? Grab this Python eBook + 99 Project Collection here:
👉 [python-ebook-download]

Uploading Your Project to GitHub – Step by Step!

Want to put your project on GitHub but don’t know where to start? Follow this structured roadmap:

|_ 🏁 Open your GitHub Account
|_ 📂 Create a New Repository
|_ ✏️ Name Your Repository
|_ 🔒 Set Visibility (Public/Private)
|_ ✅ Click 'Create Repository'
|_ 💻 Open Terminal (CMD/Powershell)
|_ 📂 Navigate to Your Project (cd <your-path>)
|_ 🔧 Initialize Git (git init)
|_ 📌 Stage Changes (git add .)
|_ 📝 Commit Your Changes
|_ 🔗 Copy Repository URL from GitHub
|_ 🔄 Link Local Repo
|_ 🚀 Push Project

Want a detailed explanation for each step? Check out this post: 👇
Instagram.com/how-to-upload-your-project-on-github

Your Data Analyst Roadmap is Here! 📌

Here’s a step-by-step Data Analyst Roadmap to guide your journey. Download the PDF and start learning today!

Want to level up your Python skills? Check out our Python eBook & Projects for more resources! 📌

Looking for other roadmaps?
👉 | Python Developer
👉 | AI & Data Scientist

Don’t forget to react ❤️ if you’d like to see more content like this!

Thank you all for joining! ❤️🙏

5 GitHub Repo to Master Python

1. The Algorithms: https://github.com/TheAlgorithms/Python
2. Vinta: https://github.com/vinta/awesome-python
3. Avinash Kranjan: https://tinyurl.com/Amazing-Python-Scripts
4. Geek Computers: https://github.com/geekcomputers/Python
5. Practical Tutorials: https://tinyurl.com/project-based-learningg

Don’t forget to react ❤️ if you’d like to see more content like this!

Thank you all for joining! ❤️🙏

Python Roadmap for Beginners 2025

├── 🐍 Introduction to Python
├── 📦 Modules, Comments, & Pip
├── 🔢 Variables & Data Basics
├── 📊 Python Data Types in Detail
├── 🔁 Flow Control in Python
├── 🔄 Loops in Python
├── 📝 String Operations (Advanced)
├── 🏗 Functions in Python
├── 📂 File Handling in Python
├── 🏛 OOPs
├── ⚠️ Exception Handling

📒 Master Python with this eBook + 99 Projects: Download Now

Guys, be ready! 🚀 I’ll be dropping the Python Interview Prep Guide soon! 🎉

A 542-page PDF covering everything you need for Python interviews, from core concepts to advanced topics and ML & Data Science interview questions!

📌 Topics Covered:
✅ Python Basics
✅ Data Types & Operations
✅ Functions & Arguments
✅ Control Flow & Loops
✅ Object-Oriented Programming
✅ Exception Handling & Debugging
✅ Advanced Python Concepts
✅ Memory Management & Performance
✅ Modules & Packages
✅ File Handling
✅ Algorithmic & Problem-Solving Questions
✅ Coding Exercises
✅ Miscellaneous Topics
✅ Multi-threading & Multi-processing
✅ Async Programming (asyncio)
✅ Working with JSON, XML, and YAML

🔹 ML & Data Science Interview Topics:
✔️ NumPy
✔️ Pandas
✔️ Matplotlib
✔️ Seaborn
✔️ SciPy
✔️ Scikit-Learn
✔️ TensorFlow
✔️ Keras
✔️ PyTorch

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Stay tuned! Dropping Soon🚀

It's Here! The Ultimate Python Interview Prep Guide! 🎉

A 542-page PDF covering everything you need for Python interviews, from core concepts to advanced topics and ML & Data Science interview questions!

📌 Get it now 👉 Python Interview Prep Guide

🔥 First 100 users get an extra 20% discount! Keeping in mind that most of you are students, the price is super affordable—less than the cost of a burger! 🍔🔥

Don’t miss out—grab your copy now! 🚀

Git Commands

🛠 git init – Initialize a new Git repository
📥 git clone <repo> – Clone a repository
📊 git status – Check the status of your repository
➕ git add <file> – Add a file to the staging area
📝 git commit -m "message" – Commit changes with a message
🚀 git push – Push changes to a remote repository
⬇️ git pull – Fetch and merge changes from a remote repository


Branching

📌 git branch – List all branches
🌱 git branch <name> – Create a new branch
🔄 git checkout <branch> – Switch to a branch
🔗 git merge <branch> – Merge a branch into the current branch
⚡️ git rebase <branch> – Apply commits on top of another branch


Undo & Fix Mistakes

⏪ git reset --soft HEAD~1 – Undo the last commit but keep changes
❌ git reset --hard HEAD~1 – Undo the last commit and discard changes
🔄 git revert <commit> – Create a new commit that undoes a specific commit


Logs & History

📖 git log – Show commit history
🌐 git log --oneline --graph --all – View commit history in a simple graph


Stashing

📥 git stash – Save changes without committing
🎭 git stash pop – Apply stashed changes and remove them from stash


Remote & Collaboration

🌍 git remote -v – View remote repositories
📡 git fetch – Fetch changes without merging
🕵️ git diff – Compare changes


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