Python Courses & Resources
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Master Python with step-by-step courses – from basics to advanced projects and practical applications.
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Ex_Files_Learning_Python_Generators.zip
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πŸ“¦ Exercise Files
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πŸ”₯ The coolest AI bot on Telegram

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πŸ“± Python Data Analysis & Visualization Masterclass. (2025)

πŸŽ“ What will you learn?

πŸ“Master Pandas Dataframes and Series
πŸ“Create beautiful visualizations with Seaborn
πŸ“Analyze dozens of real-world datasets.
πŸ“Practice with tons of exercises and challenges
πŸ“Learn all the ins and outs of Matplotlib
πŸ“Organize, filter, clean, aggregate, and analyze DataFrames
πŸ“Master hierarchical indexing
πŸ“Merge datasets in Pandas
πŸ“Create line, bar, column, square, pie, violin, carpet, swarm, band, and more!

Language: English
Price: $120
Size: 15GB
Duration: 20 hours

get it: https://t.me/+r_Tcx2c-oVU1OWNi
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This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

βœ… https://t.me/addlist/8_rRW2scgfRhOTc0

βœ… https://t.me/Codeprogrammer
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Caltech's "Undergraduate Game Theory" lecture notes by Omer Tamuz

PDF: https://tamuz.caltech.edu/teaching/ps172/lectures.pdf

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πŸ˜‰ A list of the best YouTube videos
βœ… To learn data science


1️⃣ SQL language


⬅️ Learning

πŸ’° 4-hour SQL course from zero to one hundred

πŸ’° Window functions tutorial

⬅️ Projects

πŸ“Ž Starting your first SQL project

πŸ’° Data cleansing project

πŸ’° Restaurant order analysis

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πŸ’° How to crack the SQL interview?

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2️⃣ Python


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πŸ’° 12-hour Python for Data Science course

⬅️ Projects

πŸ’° Python project for beginners

πŸ’° Analyzing Corona Data with Python

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πŸ’° Python interview golden tricks

πŸ’° Python Interview Questions

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⬅️ Learning

πŸ’° 7-hour course in applied statistics

πŸ’° Machine Learning Training Playlist

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πŸ’° Practical ML Project

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πŸ’° ML Interview Questions and Answers

πŸ’° How to pass a statistics interview?

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4️⃣ Product and business case studies


⬅️ Learning

πŸ’° Building strong product understanding

πŸ’° Product Metric Definition

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πŸ’° Case Study Analysis Framework

πŸ’° How to shine in a business interview?

#DataScience #SQL #Python #MachineLearning #Statistics #BusinessAnalytics #ProductCaseStudies #DataScienceProjects #InterviewPrep #LearnDataScience #YouTubeLearning #CodingInterview #MLInterview #SQLProjects #PythonForDataScience



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πŸ”… Artificial Intelligence Foundations: Machine Learning

🌐 Author: Kesha Williams
πŸ”° Level: Beginner

⏰ Duration: 1h 50m

πŸŒ€ Learn about the machine learning lifecycle and the steps required to build systems in this hands-on course.

πŸ“— Topics: Machine Learning, Artificial Intelligence
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πŸ”… Python Projects

🌐 Author: Barron Stone
πŸ”° Level: Intermediate

⏰ Duration: 1h 32m

πŸŒ€ Get hands-on practice building your own Python applications. Follow the development of a single project, from initial ideation to building the final installer for distribution.


πŸ“— Topics: Software Projects, Python
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πŸ”°  Python Web Scraping with Beautiful Soup and Regex

Check out the power of Python with a demonstration of web scraping using Beautiful Soup and also some Regex.

πŸ–₯ By: https://t.me/Python53

⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️
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πŸ“– Data Structure and Algorithm Patterns for LeetCode Interviews – Tutorial

This is a comprehensive course on data structures and algorithms. algo monster will break down the most essential data structuresβ€”like arrays, strings, sets, hashmaps, and heaps, and he'll show you exactly how and when to use them. You’ll also master core algorithmic patterns such as two pointers, sliding windows, binary search, breadth-first search (BFS), depth-first search (DFS), and backtracking, all explained with clear examples and real interview problems.


⭐️ Contents ⭐️
⌨️ (0:00:00) Array
⌨️ (0:03:11) String
⌨️ (0:04:56) Set
⌨️ (0:06:40) Control Flow & Looping
⌨️ (0:07:32) Big O Notation
⌨️ (0:10:02) Hashmap
⌨️ (0:15:54) Hashmap practice problems
⌨️ (0:18:52) Two Pointers
⌨️ (0:22:56) Two Pointers practice problems
⌨️ (0:26:48) Sliding Window
⌨️ (0:31:45) Sliding Window practice problems
⌨️ (0:37:39) Binary Search
⌨️ (0:39:28) Binary Search practice problems
⌨️ (0:48:28) Breadth-First Search (BFS) on Trees
⌨️ (0:50:36) BFS on Graphs
⌨️ (0:52:13) BFS practice problems
⌨️ (0:57:31) Depth-First Search (DFS)
⌨️ (0:59:01) DFS on Graphs
⌨️ (1:00:24) DFS practice problems
⌨️ (1:05:01) Backtracking
⌨️ (1:08:14) Backtracking practice problems
⌨️ (1:10:27) Priority Queue/heap
⌨️ (1:11:36) Priority Queue/heap practice problems

πŸ–₯ By: https://t.me/Python53

⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️
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πŸ”… AI Engineering in 76 Minutes (Complete Course/Speedrun!)

All images are from the book AI Engineering unless otherwise credited.


⏰ Timestamps
00:00 What is AI Engineering?
01:49 Understanding Foundation Models
08:40 Evaluating AI Models
14:50 Model Selection
23:15 Prompt Engineering
30:20 RAG and Context Construction
36:56 Agents and Memory Systems
43:02 Finetuning
52:40 Dataset Engineering
59:45 Inference Optimization
01:09:01 Architecture and User Feedback.

πŸ–₯ By: https://t.me/Python53

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