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Книги:
  • Think Python: How to Think Like a Computer Scientist. 3 Ed (2024)
  • Web Scraping With Python: Data Extraction from the Modern Web. 3 Ed (2024)
  • Modern Mainframe Development: COBOL, Databases, and Next-Generation Approaches (2022)
  • Head First JavaScript Programming: A Learner's Guide to Modern JavaScript. 2 Ed (2024)
  • Head First C#: A Learner's Guide to Real-World Programming with C# and .NET. 5 Ed (2024)
  • Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines (2025)
  • Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric. 2 Ed (2023)
  • Learning JavaScript Design Patterns: A JavaScript and React Developer's Guide. 2 Ed (2023)
  • 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)