Deep Learning Fundamentals: A Practical Guide to Neural Networks
April 2, 2026
Deep learning fundamentals, practical: feedforward, CNN, RNN, Transformer. Training, optimization, regularization — with a runnable PyTorch neural network.
#tutorial
TensorFlow 2026 Tutorial: Mastering TensorFlow 2.19 with GPUs and Beyond
February 26, 2026
TensorFlow 2.19 (and 2.21 preview) tutorial for 2026: GPU setup with CUDA 12.5 and cuDNN 9.3, Python 3.9–3.12 support, and shipping models to real production.
Mastering Scikit-learn: A Complete 2026 Tutorial for Machine Learning
February 20, 2026
Scikit-learn for 2026: classification, regression, clustering, pipelines, hyperparameter tuning, cross-validation, and patterns that ship ML to production.
Mastering Right Joins: Practical Applications and Real-World Insights
January 22, 2026
SQL RIGHT JOIN mastered: when to use it over LEFT JOIN, real reporting examples, edge cases in Postgres/MySQL/SQLite, and why it's rarely the right default.
Networking Fundamentals Guide: From Packets to Protocols
January 3, 2026
Networking fundamentals for developers: OSI vs. TCP/IP, packets, routing, DNS, TLS — and the everyday tools (curl, dig, tcpdump, ss) that make it all legible.
SQL vs NoSQL Databases: Choosing the Right Data Backbone
September 26, 2025
SQL vs NoSQL in 2026: PostgreSQL, MySQL, MongoDB, Cassandra, DynamoDB. Consistency, schema flexibility, scaling, and when each actually fits your workload.