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Книги:

Machine Learning Interviews: Kickstart Your Machine Learning and Data Career (2024)

Programming AWS Lambda: Build and Deploy Serverless Applications with Java (2020)

Modern Data Analytics in Excel: Using Power Query, Power Pivot, and More for Enhanced Data Analytics (2024)

Learning Vue: Core Concepts and Practical Patterns for Reusable, Composable, and Scalable User Interfaces (2024)

Hacker Culture A to Z: A Fun Guide to the People, Ideas, and Gadgets That Made the Tech World (2024)

CSS: The Definitive Guide: Web Layout and Presentation. 5 Ed (2023)

PHP Cookbook: Modern Code Solutions for Professional Developers (2023)

Full Stack Django and React: Get hands-on experience in full-stack web development with Python, React, and AWS (2023)

Laravel: Up & Running. 3 Ed (2023)

Software Engineering for Data Scientists (2024)

Effective Rust: 35 Specific Ways to Improve Your Rust Code (2024)

AI-Assisted Programming: Better Planning, Coding, Testing, and Deployment (2024)

FastAPI: Modern Python Web Development (2024)

Learning GitHub Actions: Automation and Integration of CI/CD with GitHub (2023)

Mastering Financial Pattern Recognition: Finding and Back-Testing Candlestick Patterns with Python (2023)

C# 12 in a Nutshell: The Definitive Reference (2024)

Machine Learning with Python Cookbook. 2 Ed (2023)

Head First Python. 3 Ed (2023)

Hands-On Systems Programming with Rust (2021)

Data Visualization with Python and JavaScript: Scrape, Clean, Explore, and Transform Your Data. 2 Ed (2023)

Python Data Science Handbook: Essential Tools for Working with Data. 2 Ed (2023)

C++ Software Design: Design Principles and Patterns for High-Quality Software (2022)

SQL Cookbook: Query Solutions and Techniques for All SQL Users. 2 Ed (2021)

Concurrency in Go: Tools and Techniques for Developers (2017)

Behavioral Data Analysis with R and Python: Customer-Driven Data for Real Business Results (2021)

Advancing into Analytics: From Excel to Python and R (2021)

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. 2 Ed (2023)

R Packages. 2 Ed (2023)

Head First Swift: A Learner's Guide to Programming with Swift (2021)

iOS 15 Programming Fundamentals with Swift: Swift, Xcode, and Cocoa Basics (2022)

Programming iOS 13: Dive Deep into Views, View Controllers, and Frameworks (2020)

iOS 14 Programming Fundamentals with Swift (2021)

Functional Programming with C#: Create More Supportable, Robust, and Testable Code (2023)

Introducing GitHub. 2 Ed (2018)

Version Control with Git. 3 Ed (2023)

Python and R for the Modern Data Scientist (2021)

Learning Spark: Lightning-Fast Data Analytics. 2 Ed (2020)

C# 10 in a Nutshell (2022)

Efficient Go: Data-Driven Performance Optimization (2023)

Learning Java: An Introduction to Real-World Programming with Java. 6 Ed (2023)

Learning Git: A Hands-On and Visual Guide to the Basics of Git (2023)

Learning Go (2021)

Programming with MicroPython (2018)

Python in a Nutshell. 4 Ed (2023)

GitOps Cookbook. Kubernetes Automation in Practice (2023)