Learn NumPy from Scratch – Step by Step! (Part 1)

Getting Started with Data Science in Python

NumPy is one of the most essential Python libraries for data science, providing a powerful yet easy-to-use n-dimensional array. It serves as the foundation for many other data science and machine learning libraries, making it a must-learn for anyone stepping into this field.

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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

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|_ 🐍 Introduction to Python
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|_ 🔢 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

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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: 👇
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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

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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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