1. Linux and Shell Scripting

• The Linux Command Line - A comprehensive guide to mastering the Linux command line.
• Linux for Beginners - Introduction to fundamental Linux concepts and commands.
• Linux Commands Handbook - Handy reference for common Linux commands.
• Linux Kernel in a Nutshell - In-depth guide to understanding the Linux kernel.
• Linux from Scratch - Build your own Linux system from scratch.
• Bash Guide for Beginners - Beginner’s guide to Bash scripting.
• The Korn Shell Manual - Programming manual for the Korn Shell.
• Ten Steps to Linux Survival - A step-by-step guide to thriving in Linux environments.
• Linux 101 Hacks - Practical hacks to master Linux basics.
• Sams Teach Yourself Shell Programming - Quick course on shell programming.

2. Cloud Computing and DevOps

• 97 Things Every Cloud Engineer Should Know - Tips and best practices for cloud engineers.
• Azure for Architects - Guide for architects designing Azure solutions.
• Cloud Design Patterns - Patterns for building scalable cloud applications.
• Generative AI on AWS - Guide to building generative AI models on AWS.
• Migrating Applications to the Cloud - Effective strategies for cloud migration.
• A Practical Guide to Cloud Migration - Best practices for migrating to the cloud.
• CI/CD with Docker and Kubernetes - Learn CI/CD pipelines with Docker and Kubernetes.
• The Modern DevOps Lifecycle - Mastering the full DevOps lifecycle.
• Getting GitOps - Introduction to GitOps.
• The Path to GitOps - Roadmap to adopting GitOps practices.
• GitOps Cookbook - Practical recipes for managing applications with GitOps.

3. Programming and Software Development

Python

• Think Python (v2) - Introduction to programming with Python.
• Beyond the Basic Stuff with Python - Advanced Python techniques.
• Automate the Boring Stuff with Python - Automating everyday tasks.
• The Quick Python Book (4th Edition) - Practical Python learning.
• Clean Code in Python - Writing clean and maintainable Python code.
• Big Book of Small Python Projects - 81 fun Python projects.

Java and C++

• Think Java - Beginner-friendly Java programming.
• Effective Modern C++ - Best practices for modern C++.
• Modern C++ Programming - Comprehensive guide to modern C++.
• C++ Data Structures and Algorithms - An in-depth guide to C++ data structures.

4. Data Science and Analytics

• Think Stats (v2) - Statistics and data analysis with Python.
• Think Stats Online - Online version ofThink Stats.
• Think Bayes (2nd Edition) - Bayesian statistics in Python.
• Data Science at the Command Line - Command-line tools for data science.
• Python Data Science Handbook - Techniques and tools for data science with Python.
• Hands-On Data Visualization - Practical guide to data visualization.
• Learning Spark - Big data processing with Apache Spark.

5. Databases and Big Data

• Kafka: The Definitive Guide - Understanding Apache Kafka.
• Redis for Dummies - Introduction to Redis.
• Graph Databases (Neo4j) - Leveraging graph databases.
• Graph Algorithms - Algorithms for graph data.
• SQL Cookbook (2nd Edition) - Tips and tricks for SQL.

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About the author:

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Machine learning, deep learning, and raw code. Presented clearly and with examples.

A little more about me...

Graduated in Bachelor of Information Systems, in college I had contact with different technologies. Along the way, I took the Artificial Intelligence course, where I had my first contact with machine learning and Python. From this it became my passion to learn about this area. Today I work with machine learning and deep learning developing communication software. Along the way, I created a blog where I create some posts about subjects that I am studying and share them to help other users.

I'm currently learning TensorFlow and Computer Vision

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