Smart Package Tracker using Python
6 Python Books You Can Download for FREE! https://www.clcoding.com/2025/10/6-python-books-you-can-download-for-free.html
6 Python Books You Can Download for FREE! https://www.clcoding.com/2025/10/6-python-books-you-can-download-for-free.html
β€1
π Deep Learning on Graphs β Free PDF
Explore the fascinating world of Graph Neural Networks and deep learning on graph-structured data.
π 326 pages
π Useful for students, researchers, and ML/AI enthusiasts
π» Learn graph representation learning, GNNs, and related concepts.
π 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!
Explore the fascinating world of Graph Neural Networks and deep learning on graph-structured data.
π 326 pages
π Useful for students, researchers, and ML/AI enthusiasts
π» Learn graph representation learning, GNNs, and related concepts.
π 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!
β€1
Python Tips:
π Day 103/150 β Phone Number Validation in Python
Code: https://www.clcoding.com/2026/08/day-103150-phone-number-validation-in.html
π Day 103/150 β Phone Number Validation in Python
Code: https://www.clcoding.com/2026/08/day-103150-phone-number-validation-in.html
β€1
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
Python Coding Challenge - Question with Answer (ID 220826)
Answer with Explanation: https://www.clcoding.com/2026/08/python-coding-challenge-id-220826.html
β€1
π Free PDF: Big Data and AI Strategies
Want to explore how Machine Learning, Big Data, and Alternative Data are transforming investing? ππ€
This 280-page resource explores:
β’ Machine Learning for investing
β’ Alternative data
β’ Deep Learning & AI
β’ Quantitative investing
β’ Data-driven strategies
β’ Risk, prediction & signal generation
β’ Challenges like overfitting and noisy financial data
π 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. π
Want to explore how Machine Learning, Big Data, and Alternative Data are transforming investing? ππ€
This 280-page resource explores:
β’ Machine Learning for investing
β’ Alternative data
β’ Deep Learning & AI
β’ Quantitative investing
β’ Data-driven strategies
β’ Risk, prediction & signal generation
β’ Challenges like overfitting and noisy financial data
π 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. π
β€2
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
Get it Free: https://www.clcoding.com/2026/08/bayes-rule-with-python-tutorial.html
β€2
π **Python Strings look simpleβ¦ but mastering them unlocks a LOT of Python!**
Strings are everywhere β web scraping, data cleaning, APIs, automation, NLP, and everyday Python programs.
Here are the essentials you should know π
πΉ String basics & structure
πΉ Zero-based indexing
πΉ Positive & negative indexing
πΉ Slicing: `
πΉ Step slicing: `
πΉ Reversing: `
πΉ Concatenation with `
πΉ Repetition with `
πΉ Useful methods: `
πΉ f-Strings for formatting
πΉ String immutability
**Example:**
```
```
π‘ **Tip:** Don't just memorize string methods. Practice indexing and slicing until they become second nature.
**Learn β Practice β Experiment β Quiz π**
https://x.com/clcoding/status/2091393899961151608?s=20
Strings are everywhere β web scraping, data cleaning, APIs, automation, NLP, and everyday Python programs.
Here are the essentials you should know π
πΉ String basics & structure
πΉ Zero-based indexing
πΉ Positive & negative indexing
πΉ Slicing: `
st[start:end]`πΉ Step slicing: `
st[start:end:step]`πΉ Reversing: `
st[::-1]`πΉ Concatenation with `
+`πΉ Repetition with `
*`πΉ Useful methods: `
upper(), lower(), strip(), replace(), split(), find(), count()`πΉ f-Strings for formatting
πΉ String immutability
**Example:**
```
pythonst = "Python"print(st[0]) # Pprint(st[-1]) # nprint(st[1:4]) # ythprint(st[::-1]) # nohtyP```
π‘ **Tip:** Don't just memorize string methods. Practice indexing and slicing until they become second nature.
**Learn β Practice β Experiment β Quiz π**
https://x.com/clcoding/status/2091393899961151608?s=20
β€1
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
Python Coding Challenge - Question with Answer (ID 230826)
Answer with Explanation: https://www.clcoding.com/2026/08/python-coding-challenge-id-230826.html
β€1
Deep Learning Methods of Mathematical Physics: Volume I β A Comprehensive Guide to AI for Direct and Inverse Problems
π Free PDF
π 461 pages
A comprehensive resource exploring how deep learning and mathematical physics can be combined to solve direct and inverse problems, with applications across scientific computing, modeling, and AI.
Free PDF: https://www.clcoding.com/2026/07/deep-learning-methods-of-mathematical.html
π Free PDF
π 461 pages
A comprehensive resource exploring how deep learning and mathematical physics can be combined to solve direct and inverse problems, with applications across scientific computing, modeling, and AI.
Free PDF: https://www.clcoding.com/2026/07/deep-learning-methods-of-mathematical.html
β€1
π Advanced Statistics from an Elementary Point of View β Free PDF*
π Author: Michael J. Panik
π Pages: 905
π Topics: Probability, descriptive statistics, distributions, sampling, estimation, hypothesis testing, nonparametric statistics, regression, and correlation.
ξ
Free PDF: https://www.clcoding.com/2026/07/advanced-statistics-from-elementary.html
π Author: Michael J. Panik
π Pages: 905
π Topics: Probability, descriptive statistics, distributions, sampling, estimation, hypothesis testing, nonparametric statistics, regression, and correlation.
ξ
Free PDF: https://www.clcoding.com/2026/07/advanced-statistics-from-elementary.html
β€1
Convert PDF pages into WebP images using PyMuPDF (fitz) β useful for web optimization, image processing, and automation. π
Projects: https://amzn.to/4xmzi8g
Projects: https://amzn.to/4xmzi8g
β€1
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
Python Coding Challenge - Question with Answer (ID 240826)
Answer with Explanation: https://www.clcoding.com/2026/08/python-coding-challenge-id-240826.html
β€1
π Integral Calculus β Free PDF
A comprehensive 769-page resource for learning Integral Calculus from fundamentals to advanced concepts.
π Inside youβll explore:
πΉ Definite & indefinite integrals
πΉ Techniques of integration
πΉ Fundamental Theorem of Calculus
πΉ Applications of integration
πΉ Sequences and series
πΉ Practice problems and exercises
π 769 pages of valuable mathematics content.
Free PDF: https://www.clcoding.com/2026/08/integral-calculus-free-pdf.html
A comprehensive 769-page resource for learning Integral Calculus from fundamentals to advanced concepts.
π Inside youβll explore:
πΉ Definite & indefinite integrals
πΉ Techniques of integration
πΉ Fundamental Theorem of Calculus
πΉ Applications of integration
πΉ Sequences and series
πΉ Practice problems and exercises
π 769 pages of valuable mathematics content.
Free PDF: https://www.clcoding.com/2026/08/integral-calculus-free-pdf.html
β€1
π Introduction to Theoretical Computer Science
π 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
π» Perfect for: Computer Science students, programming learners, researchers, and anyone interested in the mathematical foundations of computing.
π 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
π» Perfect for: Computer Science students, programming learners, researchers, and anyone interested in the mathematical foundations of computing.
β€1
Complete OOP Concept Map
Free Course on OOP:
https://youtu.be/1bQdsPl3SMw?si=cyEm7KQGRXgOLUMc
Support: https://wa.me/clcoding
Free Course on OOP:
https://youtu.be/1bQdsPl3SMw?si=cyEm7KQGRXgOLUMc
Support: https://wa.me/clcoding
β€1
Python Coding Challenge β Day 1230 π
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! π₯
Keep coding. Keep learning. Keep challenging yourself. π
π Full challenge: https://www.clcoding.com/2026/08/python-coding-challenge-day-1230-what.html
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! π₯
Keep coding. Keep learning. Keep challenging yourself. π
π Full challenge: https://www.clcoding.com/2026/08/python-coding-challenge-day-1230-what.html
β€2