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🔰  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.

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📖 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 structures—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

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🔅 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.

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👍 Cyber Security Full course in 8 hours 🌟

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Python for Beginners Workshop: Build Your First Useful Program

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🔅 Build Three Real-World Python Applications

🌐 Author: Megan Silvey
🔰 Level: Intermediate

⏰ Duration: 2h 27m

🌀 Learn how to build Python applications to solve real-world programming problems.

📗 Topics: Application Development, Python

Build Three Real-World Python Applications

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𝗧𝗿𝗮𝗻𝘀𝗽𝗼𝘀𝗲𝗱 𝗖𝗼𝗻𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 by hand ✍️, the secret behind how AI creates images is this operation.

Watch the full lecture (U-Net)

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Python Workshop for Beginners: Create an Arcade-Style Video Game

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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

✅ https://t.me/addlist/8_rRW2scgfRhOTc0

✅ https://t.me/Codeprogrammer

📱 Time series forecasting [EN]

🎓 What will you learn?

Learn how to solve key IT operations tasks using AI. In this course, you will discover how to use AI to accelerate root cause analysis, improve IT support response times, and much more. The course includes practical solutions with #Python, #Jupyter Notebooks, #Keras, and #deeplearning methods.

Time series forecasting [EN]

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⭐ Build AI Agents with LangGraph

Learn to build a startup intelligence agent in this video guide, showcasing LangGraph's stateful workflows with planning capabilities and SingleStore integration for vector storage.

Watch the tutorial: https://youtube.com/watch?v=I9OFXxY8rSw

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