The field of Cryptography is all about securing both data and communication between systems.
And in this course, you'll learn the basics like hashing, symmetric and asymmetric encryption, and more.
By the end, you'll have built a fully-functioning Python-based command line cryptography tool.
An Intrusion Detection System acts like a security camera for your network.
And in this in-depth tutorial, @chairahalkar teaches you how to build a real-time IDS with Python.
It'll alert you to any potential cyber attacks and security breaches so you can keep your network safe.
🐍 Python Quiz: What is the Output?
Can you get answer without running the code?
A) True, True
B) False, False
C) True, False
D) False, True
Drop your answer below 👇
Python Bootcamp 2026: From Zero to Python Developer!
Want to become a Python developer but don't know where to start?
This bootcamp is your opportunity to build strong Python skills from the ground up.
Learn Python step by step
Practice with hands-on coding
Strengthen your programming fundamentals
Build the skills needed for real-world development
Whether you're a beginner or looking to strengthen your Python knowledge, start your learning journey today!
Explore the bootcamp:
Write NumPy code as usual, then let it run on GPUs and TPUs with derivatives and batching handled for you:
- Differentiate native Python and NumPy functions automatically
- Compile pure functions with jit to run on accelerators
- Combine grad, jit, and vmap in any order and scale across devices
If you want to improve your beginner Python skills, try building something that gets data from the internet.
That's what Sameer helps you do here.
You'll build a weather app and learn about APIs, HTTP requests, error handling, and more.
Learn Python. ⠀
Learn JavaScript. ⠀
Learn React. ⠀
Learn Docker. ⠀
Learn AWS. ⠀
Learn Kubernetes. ⠀
Finally, you start feeling confident. ⠀
Then someone says, “I built the whole app with a prompt.” ⠀
Welcome to being a developer. ⠀
After 16+ years in engineering, I understand why this feels exhausting.
Every time you get comfortable, the industry gives you more homework. ⠀
But I’d redraw the last part of this curve. ⠀
Your engineering knowledge still matters when you have to explain why: ⠀
• The app works locally but fails in production. ⠀
• One database query takes down the API. ⠀
• A retry charges the customer twice. ⠀
• An AI-generated endpoint lets users access someone else’s data. ⠀
Knowing how to investigate those problems takes experience.
Every layer you learned gives you somewhere to start. ⠀
That knowledge helps while you’re prompting, too. ⠀
You can spot a missing requirement, question a design choice, and catch a dangerous assumption before it spreads across twenty files. ⠀
I want AI to handle more of the repetitive work.
I also want to understand what I’m putting into production. ⠀
If you’re feeling behind, try this: ⠀
Take one small feature you already know how to build.
Ask an AI coding tool to implement it.
Then review the result like a teammate’s pull request.
⠀
1. Read the diff. ⠀
2. Check the dependencies. ⠀
3. Test the failure cases. ⠀
4. Find something you would change and explain why. ⠀
You’ll learn the tool while exercising the judgment you’ve spent years developing. ⠀
And if you’re just starting, follow the generated code all the way through: from the button, to the API, to the database, and back. ⠀
You don’t have to restart your career every time the tools change. ⠀
You do have to keep learning.
That part of the picture has always been accurate. ⠀
Which skill on this chart took you the longest to learn?
Create Professional PDF Reports Using Python!
Want to turn your data into beautiful, detailed reports with just a few lines of Python code?
Meet Sweetviz — a powerful Python library for automated Exploratory Data Analysis (EDA).
With Sweetviz, you can:
✅ Generate detailed data analysis reports
✅ Visualize target features and class distributions
✅ Explore feature correlations and associations
✅ Identify missing data and data quality issues
✅ Analyze datasets faster with interactive HTML reports
Python for GIS & Spatial Intelligence is a complete, hands-on guide for anyone who wants to master Geographic Information Systems (GIS), spatial data analysis, satellite imagery, and Geo-AI using Python. This book is designed to take you from absolute basics to real-world professional applications step by step.
Books:
RAG architectures in 2026 have evolved way beyond simple vector similarity search.
When scaling enterprise AI systems in Python today, do you get better retrieval accuracy from Hybrid RAG or Graph RAG?
6 Free Books to Master Machine Learning!
Want to learn Machine Learning without spending money on expensive courses?
These 6 free books can help you build a strong foundation, understand essential algorithms, and develop practical ML skills.
Whether you're a beginner or an aspiring Data Scientist, these resources are worth bookmarking!
🔹 Learn Machine Learning fundamentals
🔹 Understand algorithms and mathematical concepts
🔹 Explore practical examples and techniques
🔹 Strengthen your Data Science knowledge
The best investment you can make is in your learning.
Explore all 6 free books here:
Whenever someone interacts with a website, that's potential data a marketer can analyze.
So how do they manage, wrangle, and make the best use out of that data?
In this book, Eva explains how to use Python to analyze data programmatically and discover helpful patterns.