• Data Science at the Command Line книга онлайн
• A Beginner’s Guide to Data Engineering: part 1, part 2, part 3
• The 10 Statistical Techniques Data Scientists Need to Master
• Want to Become a Data Engineer? Here’s a Comprehensive List of Resources to get Started
• My Weaknesses as a Data Scientist
• The Ultimate Guide to Data Warehousing
• Processing Engines for Big Data

• Speed up your Airflow development with Docker and tests

• The most difficult thing in data science: politics
• Building The Analytics Team At Wish
• Data Science for Startups - целая серия статей, ссылки на последующие в середине первой
• Anatomy of a Parquet File

• Part 1: Alternatives to Bar Charts
• Part 2: Colouring Bar Charts
• Part 3: Highlighting Bars in the Long Tails
• Part 4: Grouping Bars vs Multi-Coloured Bars
• Part 5: The Order in Bar Charts Matters
• Part 6: Dealing with Long Axis Labels
• Part 7: Cropping the y-axis in Bar Charts
• Part 8: How to Balance Dominant Bar Chart Categories
• Part 9: To dot, to slope or to stack?

TBC?

• Spark vs Pandas: Pandas, Spark, TBC
• How to Use Langchain? Step-by-Step Guide (December 16, 2023)
• LLM + RAG: Creating an AI-Powered File Reader Assistant
• Starter Guide For Running Large Language Models LLMs (March 6, 2025)
• A Step by Step Guide to Build a Trend Finder Tool with Python: Web Scraping, NLP (Sentiment Analysis & Topic Modeling), and Word Cloud Visualization (March 9, 2025)
• A Code Implementation to Build an AI-Powered PDF Interaction System in Google Colab Using Gemini Flash 1.5, PyMuPDF, and Google Generative AI API (March 15, 2025)
• How to Use Jupyter Notebooks for Interactive Coding and Data Analysis (March 5, 2025)
• Building a Retrieval-Augmented Generation (RAG) System with DeepSeek R1: A Step-by-Step Guide (January 27, 2025)
• Preparing PDFs for RAGs