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.

Click Here to Continue Reading....

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!

Many of you have been asking for the best hosting provider. I’ve been using Hostinger since 2022, and here’s why it’s the best:

⚡️ | Fast & Reliable – No downtime, smooth performance
💰 | Affordable Pricing – Great value without overpaying
🛠 | Easy to Set Up – Get started in minutes
🎯 | Beginner-Friendly – Simple dashboard, no tech hassle
📞 | Great Support – Quick and helpful customer service

If you're hosting projects, building a website, or launching something new, this just works.

🔗 | Check it out here: Hostinger – Best & Affordable Hosting Provider

📍 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

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! 🍔🔥

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! 🚀