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Python for Beginners: A Programming Crash Course To Learn The Principles Behind Python and How To Set Up Your Computer For Coding. A Machine Learning Guide For Beginners (1B)
Deep Learning for Vision Systems
Data Science from Scratch: First Principles with Python
Ultimate Robotics Programming with ROS 2 and Python: Design, Develop, and Implement Intelligent Robotics Applications with Advanced Navigation, ... and Industrial Robots (English Edition): 1
Building Production-Ready AI Agents with Python: From Prototype to Production: Design, Test, Secure, Deploy, and Scale LLM Agents with Tools, RAG, MCP, and LangGraph (AI Engineering)
Data Analysis with Python and Pyspark
Machine Learning with Python: Build Intelligent Applications from Scratch
Fastapi: Modern Python Web Development
Understanding and Building Agentic AI Systems: A Complete Beginner-to-Builder Textbook
Modern Tkinter for Busy Python Developers: Quickly learn to create great looking user interfaces for Windows, Mac and Linux using Python's standard GUI toolkit
Jupyter Notebook with Python for Real-World Data Work: Build Reproducible Workflows, Analyze Complex Data, and Communicate Insights with Confidence
Stochastic Finance with Python: Design Financial Models from Probabilistic Perspective
AI Agents in Action: Build, Orchestrate, and Deploy Autonomous Multi-Agent Systems
Mastering Blender 5.2.2 LTS: A Practical Guide to 3D Modeling, Sculpting, Geometry Nodes, Animation, Rendering, Physics, Compositing, and Python Scripting: 4
Programming Computer Vision with Python: Tools and Algorithms for Analyzing Images
Coding Concept: Part 1
Python Standard Library: A Quickstudy Laminated Reference Guide
Think Bayes: Bayesian Statistics in Python
Practical AI Security: A Hands-On Guide to Attacking, Defending, and Securing Modern AI Systems
Python Programming Professional Made Easy & Ruby Programming Professional Made Easy: Programming #47
Guide to NumPy: 2nd Edition
The Adventures in Python: From Objects to Games: Build, Create, and Explore Objects, Graphical Interfaces with Tkinter, Games, Turtle Graphics and Creative Projects
Modeling and Simulation in Python: An Introduction for Scientists and Engineers
Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python
Fluent Python: Clear, Concise, and Effective Programming
Urban Economics with Python: City Data, Housing, Transportation, and Land Use Analysis
Effective Python: 125 Specific Ways to Write Better Python
Python Programming - Student & Professional Series: 3 Laminated Quickstudy Reference Guides
Causal Inference in Python: Applying Causal Inference in the Tech Industry
From Business Problem to Technical Solution