Data Science
NumPy Guide — Python's Foundation for Data Science
Learn NumPy from scratch — arrays, broadcasting, vectorization, indexing, and linear algebra. The bedrock library behind pandas, scikit-learn, and PyTorch.
Latest Data Science News
Data science tools, SQL, Python, visualization, and career guides. Everything you need to become a data scientist.
Data Science
SQL for Beginners — Query Databases Like a Pro
Learn SQL from scratch — SELECT, JOINs, GROUP BY, window functions, and indexes. Practical examples for PostgreSQL, MySQL, SQLite, and BigQuery.
Data Science
Pandas Python Guide — Data Analysis for Beginners
Learn pandas: DataFrames, loading, cleaning, groupby, merging, and plotting, with pandas 3.0 code examples and a full CSV-to-insight analysis pipeline.
Data Science
Python Data Libraries Cheat Sheet 2026 — Quick Reference
Quick reference for Python data libraries 2026: Pandas, Polars, DuckDB, NumPy, Plotly. Common operations side-by-side. Bookmark for daily work.
Data Science
Apache Spark Explained — Big Data Processing 2026
How Apache Spark works: RDDs, lazy DAG execution, drivers and executors, Spark SQL, AQE, streaming, and when single-node tools like DuckDB or Polars fit better.
Data Science
Data Engineering vs Data Science — Which Career Path 2026
Data engineering vs data science: what each role does, the skills and tools they need, how the work differs, and how to choose or switch between them.
Data Science
Lakehouse Formats 2026 — Iceberg vs Delta Lake vs Hudi
Iceberg vs Delta Lake vs Hudi in 2026: how each lakehouse table format works, where each wins, how catalogs and migration fit, and how to choose.
Data Science
Data Contracts 2026 — Why They Matter and How to Ship Them
Data contracts explained: what they contain, how dbt model contracts and Schema Registry enforce them, where they fail, and a rollout plan for small teams.
Data Science
Feature Stores Explained — Feast, Tecton, SageMaker
Feature stores for ML: what they are, why they matter, when to use Feast vs Tecton vs AWS SageMaker. Solve the training/serving skew problem.
Data Science
dbt Tutorial — Data Engineering for Analysts (2026 Guide)
dbt (data build tool) explained for data analysts: SQL-based transformations, models, tests, documentation. The modern way to build data pipelines.
Data Science
Polars vs Pandas 2026 — Should You Make the Switch?
Polars vs Pandas compared: real benchmarks, syntax differences, migration strategy. Why Polars is often 10 to 20x faster and when switching still isn't worth it.
Data Science
DuckDB vs Pandas — Which to Use for Data Analysis 2026
DuckDB vs Pandas: when to use each, performance benchmarks, SQL vs Python syntax, real examples. DuckDB is faster and handles larger data — should you switch?