Python Priority Queue Tutorial: heapq, PriorityQueue, Min-Heap & Max-Heap
Content1 Key Takeaways2 Key Concepts3 Prerequisites4 What Is a Priority Queue?5 Realizing a priority queue using »heapq«?6 Min-Heap or Max-Heap?7 Realizing Max Heap with heapq?8 Build a priority queue using…
Top – Image Viewers for Linux: Ristretto, qimgv & Nomacs
Content1 Ristretto2 qimgv3 Nomacs4 Conclusion Vijona12 May at 15:12 Ristretto, qimgv, Nomacs – three of the top image viewers for Linux In this tutorial, we’ll introduce you to Ristretto, qimgv,…
Ovis-U1 (3B) MLLM: Multimodal Understanding, Text-to-Image & Image Editing
Content1 Key Takeaways2 Training Process3 Data Mix4 What About Reinforcement Learning?5 Implementation6 Final Thoughts Vijona11 May at 16:05 Ovis-U1: An Open-Source 3B Multimodal LLM Advancing Toward Human-Level Task Performance The…
Database Normalization Explained: 1NF, 2NF, 3NF & BCNF Guide
Content1 Key points at a glance:2 Preliminary requirements3 Just what is Database Normalization?4 Objectives of Database Normalization:5 What is the requirement for Database Normalization?6 What Are the Features of Database…
Python .pop(): Remove and Return Items from Lists and Dicts
Content1 Understanding Python’s ».pop()« Method2 Key Takeaways3 Requirements4 What Does the ».pop()« Method Do in Python?5 Syntax Cheat Sheet: Lists vs. Dictionaries6 Why Should You Use the ».pop()« Method?7 When is…
Levenshtein Distance in Python: Edit Distance, Libraries & Benchmarks
Content1 Key Takeaways2 How Levenshtein Distance Works3 Implementing Levenshtein Distance in Python – Without Libraries4 Make use of Python libraries for Levenshtein distance5 Complete Python Performance Benchmark6 Comparison with Other…
Self-Host n8n on Ubuntu with Docker Compose (HTTPS, Nginx & PostgreSQL)
Content1 Key Takeaways2 What Is n8n and Why Is It Worth Using?3 Key Features of n8n4 Selecting the Right Deployment Option: Cloud vs. Self-Hosted5 Requirements6 Step 1 — Set Up…
Python Tutorial for Beginners: Basics, Data Structures & Libraries
Content1 Why learn to program in Python?2 Key Points3 Installing Python4 Python essentials5 Control Flow6 Loops in Python7 Functions in Python8 Data Structures in Python9 File Handling in Python10 Error…
Kimi K2 Post-Training: Tool-Use, Synthetic Data, Reinforcement Learning
Content1 Key Takeaways2 Pre-training vs Post-training3 Supervised Fine-Tuning4 Data Synthesis for Tool Use5 Reinforcement Learning6 Verifiable Rewards7 Non-verifiable Rewards8 Rollouts9 Note10 Conclusion Vijona4 Feb at 11:10 Kimi K2 Post-Training: Tool…