📘 Deep Learning on Graphs — Free PDF

Explore the fascinating world of Graph Neural Networks and deep learning on graph-structured data.

📄 326 pages
🎓 Useful for students, researchers, and ML/AI enthusiasts
💻 Learn graph representation learning, GNNs, and related concepts.

👉 Free PDF: Download the free PDF

https://www.clcoding.com/2026/07/deep-learning-on-graphs-free-pdf.html#google_vignette

Save this resource for your AI & Machine Learning journey!

Python Tips:

🚀 Day 103/150 – Phone Number Validation in Python

Code: https://www.clcoding.com/2026/08/day-103150-phone-number-validation-in.html

Python Quiz of the Day

Python Coding Challenge - Question with Answer (ID 220826)

Answer with Explanation: https://www.clcoding.com/2026/08/python-coding-challenge-id-220826.html

📘 Free PDF: Big Data and AI Strategies


Want to explore how Machine Learning, Big Data, and Alternative Data are transforming investing? 📊🤖


This 280-page resource explores:


• Machine Learning for investing
• Alternative data
• Deep Learning & AI
• Quantitative investing
• Data-driven strategies
• Risk, prediction & signal generation
• Challenges like overfitting and noisy financial data


📄 280 pages | Free PDF


Read & access it here:


https://www.clcoding.com/2026/08/big-data-and-ai-strategies-machine.html


A useful resource for **Data Science, ML, AI, Quant Finance & FinTech learners. 🚀

PDF to CBZ (Comic Book) Converter in Python

Projects: https://amzn.to/4c3jL4C

Bayes' Rule with Python: A Tutorial Introduction to Bayesian Analysis (Free PDF)

Get it Free: https://www.clcoding.com/2026/08/bayes-rule-with-python-tutorial.html

🐍 **Python Strings look simple… but mastering them unlocks a LOT of Python!**

Strings are everywhere — web scraping, data cleaning, APIs, automation, NLP, and everyday Python programs.

Here are the essentials you should know 👇

🔹 String basics & structure
🔹 Zero-based indexing
🔹 Positive & negative indexing
🔹 Slicing: `st[start:end]`
🔹 Step slicing: `st[start:end:step]`
🔹 Reversing: `st[::-1]`
🔹 Concatenation with `+`
🔹 Repetition with `*`
🔹 Useful methods: `upper(), lower(), strip(), replace(), split(), find(), count()`
🔹 f-Strings for formatting
🔹 String immutability

**Example:**

```python
st = "Python"

print(st[0]) # P
print(st[-1]) # n
print(st[1:4]) # yth
print(st[::-1]) # nohtyP
```

💡 **Tip:** Don't just memorize string methods. Practice indexing and slicing until they become second nature.

**Learn → Practice → Experiment → Quiz 🚀**
https://x.com/clcoding/status/2091393899961151608?s=20

Python Quiz of the day!

Python Coding Challenge - Question with Answer (ID 230826)

Answer with Explanation: https://www.clcoding.com/2026/08/python-coding-challenge-id-230826.html

if you need Python support ping https://wa.me/clcoding

Convert PDF pages into WebP images using PyMuPDF (fitz) — useful for web optimization, image processing, and automation. 🐍

Projects: https://amzn.to/4xmzi8g

Python Quiz of the day

Python Coding Challenge - Question with Answer (ID 240826)

Answer with Explanation: https://www.clcoding.com/2026/08/python-coding-challenge-id-240826.html

📘 Integral Calculus — Free PDF

A comprehensive 769-page resource for learning Integral Calculus from fundamentals to advanced concepts.

📚 Inside you’ll explore:
🔹 Definite & indefinite integrals
🔹 Techniques of integration
🔹 Fundamental Theorem of Calculus
🔹 Applications of integration
🔹 Sequences and series
🔹 Practice problems and exercises

📄 769 pages of valuable mathematics content.

Free PDF: https://www.clcoding.com/2026/08/integral-calculus-free-pdf.html

📘 Introduction to Theoretical Computer Science
📄 Free PDF resource

Read / Get the Free PDF
https://www.clcoding.com/2026/08/introduction-to-theoretical-computer.html

Topics you may explore

Automata Theory
Formal Languages
Computability
Algorithms and Complexity
Computational Models
Logic and Proof Techniques
Theoretical foundations of Computer Science

💻 Perfect for: Computer Science students, programming learners, researchers, and anyone interested in the mathematical foundations of computing.

Complete OOP Concept Map


Free Course on OOP:
https://youtu.be/1bQdsPl3SMw?si=cyEm7KQGRXgOLUMc

Support: https://wa.me/clcoding

Python Coding Challenge — Day 1230 🚀

What is the output of the following Python code?


Every challenge is a chance to learn something new.
Every mistake is a step toward mastery.

Every day you code, you get better.

Day 1230 is another opportunity to sharpen your Python skills.

Can you solve it without running the code?
Comment your answer below

Then run it and see if your prediction was correct! 🔥

Keep coding. Keep learning. Keep challenging yourself. 🐍

👉 Full challenge: https://www.clcoding.com/2026/08/python-coding-challenge-day-1230-what.html

A Numerical Approximation Method for the Fisher–Rao Distance Between Multivariate Normal Distributions — Free PDF

Explore the Fisher–Rao distance, Information Geometry, multivariate normal distributions, Jeffreys divergence, and numerical approximation methods in this research work.


📚 Key Topics
Fisher–Rao Distance
Information Geometry
Multivariate Normal Distributions
Fisher Information
Jeffreys Divergence
KL Divergence
Statistical Manifolds
Geodesics
Symmetric Positive-Definite (SPD) Matrices
Numerical Approximation
Mahalanobis Distance
Machine Learning

🎓 Useful For

Data Scientists, Machine Learning Researchers, Statisticians, Mathematicians, AI Researchers, and students studying advanced probability, statistics, and Information Geometry.

📥 Free PDF

Read the complete article and access the free PDF here:
https://www.clcoding.com/2026/08/a-numerical-approximation-method-for.html

🧮 Euler’s Formula in Python

Projects: https://amzn.to/4y1tO2L