Coding & Hacking Ebooks V3

Tutorials & Methods
,
1

Book list:

  1. Beginner’s Guide to Streamlit with Python. Build Web-Based Data and Machine Learning Applications (Sujay Raghavendra) 2023
  2. Asynchronous Programming with SwiftUI and Combine. Functional Programming to Build UIs on Apple Platforms (Peter Friese) 2023
  3. Applied Recommender Systems with Python. Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques (Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, V Adithya Krishnan) 2023
  4. Ansible for Kubernetes by Example. Automate Your Kubernetes Cluster with Ansible (Luca Berton) 2023
  5. A Brief Introduction to Web3. Decentralized Web Fundamentals for App Development (Shashank Mohan Jain) 2023
  6. Applied Deep Learning. Design and implement your own Neural Networks to solve real-world problems ( Dr. Neeraj Kumar, Dr. Rajkumar Tekchandani) 2023
  7. Analog and Hybrid Computer Programming (Bernd Ulmann) 2023
  8. Mastering the Lightning Network. A Second Layer Blockchain Protocol for Instant Bitcoin Payments (Andreas M. Antonopoulos, Olaoluwa Osuntokun, René Pickhardt) 2022
  9. Algorithms for Decision Making (Mykel J. Kochenderfer, Tim A. Wheeler, Kyle H. Wray) 2022
  10. C and C++ Compling. An engineering guide to compiling, linking, and libraries using C and C++ (Milan Stevanovic) 2014
  11. Advanced Deep Learning with TensorFlow 2 and Keras (Rowel Atienza) 2020
  12. Advanced Guide to Python 3 Programming. Undergraduate Topics in Computer Science ( John Hunt) 2019
  13. Advanced Python Programming (Sakis Kasampalis, Quan_Nguyen) 2019
  14. Advanced Swift. Updated for Swift 5 (Chris Eidhof) 2019
  15. Advances in Financial Machine Learning (Marcos L´opez) 2018
  16. Advancing into Analytics. From Excel to Python and R (George Mount) 2021
  17. Agile in Practice. Practical Use-cases on Project Management Methods including Agile, Kanban and Scrum (Sudipta Malakar) 2021
  18. iOS 14 Programming for Beginners Fifth Edition (Ahmad Sahar) 2020
  19. AI and Machine Learning for Coders. A Programmer’s Guide to Artifi cial Intelligence (Laurence Moroney) 2021
  20. AI Crash Course. A fun and hands-on introduction to reinforcement learning, deep learning, and artificial intelligence with Python (Hadelin de Ponteves) 2019
  21. Django 3 Web Development Cookbook. Actionable solutions to common problems in Python web development (Aidas Bendoraitis, Jake Kronika) 2020
  22. Practical Fairness. Achieving Fair and Secure Data Models (Aileen Nielsen) 2020
  23. Beyond the Basic Stuff with Python. Best Practices for Writing Clean Code (Al Sweigart) 2020
  24. The Big Book of Small Python Projects. 81 Easy Practice Programs (Al Sweigart) 2021
  25. Java Fundamentals (Gazihan Alankus) 2019
  26. Numerical Methods in Physics with Python (Alex Gezerlis) 2020
  27. Mastering MongoDB 4.x. Expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 4.x (Alex Giamas) 2019
  28. Implementing Service Level Objectives. A Practical Guide to SLIs, SLOs & Error Budgets (Alex Hidalgo) 2020
  29. Becoming a Data Head. How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning (Alex J Gutman, Jordan Goldmeier) 2021
  30. Kubernetes Security and Observability. A Holistic Approach to Securing and Troubleshooting Cloud Native Applications (Alex Pollitt) 2021
  31. Quarkus Cookbook. Kubernetes-Optimized Java Solutions (Alex Soto Bueno, Jason Porter) 2020
  32. Natural Language Processing with Spark NLP. Learning to Understand Text at Scale (Alex Thomas) 2020
  33. System Design Interview An Insider’s Guide (Alex Xu) 2022
  34. Event Streams in Action. Real-time event systems with kafka and kinesis (Alexander Dean, Valentin Crettaz) 2019
  35. Глубокое обучение с подкреплением в действии (Брэндон Браун и Александр Цай) 2020 год
  36. Algorithmic Trading with Interactive Brokers. Python and C++ (Matthew Scarpino) 2019
  37. Algorithms (Robert Sedgewick, Kevin Wayne) 2011
  38. Algorithms (John Paul Mueller, Luca Massaron) 2017
  39. Algorithms Unlocked (Thomas H. Cormen) 2013
  40. Algorithms (S. Dasgupta, C. H. Papadimitriou, U. V. Vazirani) 2006
  41. Algorithms Illuminated. Part 1 The Basics (Tim Roughgarden) 2017
  42. Algorithms Illuminated. Part 2 Graph Algorithms and Data Structures (Tim Roughgarden) 2018
  43. Algorithms Illuminated. Part 4 Algorithms for NP-Hard Problems (Tim Roughgarden) 2020
  44. Algorithms for Optimization (Mykel J. Kochenderfer, Tim A. Wheeler) 2019
  45. SQL Pocket Guide. A Guide to SQL Usage (Alice Zhao) 2021
  46. Think Bayes, 2nd Edition. Bayesian Statistics in Python (Allen B. Downey) 2021
  47. Scala Cookbook, 2nd Edition. Recipes for Object-Oriented and Functional Programming (Alvin Alexander) 2021
  48. Hands-On Artificial Intelligence for IoT. Expert machine learning and deep learning techniques for developing smarter IoT systems (Amita Kapoor) 2019
  49. An Introduction to GCC, for the GNU Compilers gcc and g++ (Brian Gough) 2004
  50. An Introduction to Programming with C++ (Diane Zak) 2016
  51. Analytical Skills for AI and Data Science. Building Skills for an AI-Driven Enterprise (Daniel Vaughan) 2020
  52. Roguelike Development with JavaScript. Build and Publish Roguelike Genre Games with JavaScript and Phaser (Andre Alves Garzia) 2020
  53. Amazon Web Services in Action (Michael Wittig, Andreas Wittig) 2019
  54. Deep Learning Patterns and Practices (Andrew Ferlitsch) 2021
  55. Conversational AI. Chatbots that work (ANDREW R. FREED) 2021
  56. Practical Vulnerability Management. A Strategic Approach to Managing Cyber Risk (Andrew Magnusson) 2020
  57. Hacking Kubernetes. Threat-Driven Analysis and Defense (Andrew Martin) 2021
  58. Data Science for Beginners Python Programming, Data Analysis, Machine Learning. Data Science From Scratch Using Python (Andrew Park) 2020
  59. Head First C#, 4th Edition. A Learner’s Guide to Real-World Programming with C# and .NET Core (Andrew Stellman) 2020
  60. Pro C# 8 with .NET Core 3. Foundational Principles and Practices in Programming (Andrew Troelsen, Phil Japikse) 2020
  61. Android Application Development All-in-One For Dummies (Barry Burd) 2020
  62. Android Apprentice. Beginning Android Development with Kotlin (Darryl Bayliss, Tom Blankenship, Fuad Kamal, Namrata Bandekar) 2020
  63. Android Programming The Big Nerd Ranch Guide (Kristin Marsicano) 2019
  64. Android Security Internals. An In-Depth Guide to Android’s Security Architecture (Nikolay Elenkov) 2015
  65. Android Software Internals Quick Reference. A Field Manual and Security Reference Guide to Java-based Android Components (James Stevenson) 2021
  66. Android Test-Driven Development by Tutorials (Victoria Gonda) 2019
  67. Discovering Statistics Using R (Andy Field) 2012
  68. Testing Java Microservices Using Arquillian, Hoverfly, AssertJ, JUnit, Selenium, and Mockito (Andy Gumbrecht, Alex Soto Bueno) 2018
  69. Programming the Internet of Things. An Introduction to Building Integrated, Device-to-Cloud IoT Solutions (Andy King) 2021
  70. Building Custom Tasks for SQL Server Integration Services. The Power of .NET for ETL for SQL Server 2019 and Beyond (Andy Leonard) 2021
  71. Hardcore Programming for Mechanical Engineers. Build Engineering Applications from Scratch (Ángel Sola Orbaiceta) 2021
  72. Spring Boot Persistence Best Practices. Optimize Java Persistence Performance in Spring Boot Applications (Anghel Leonard) 2020
  73. The Complete Coding Interview Guide in Java. An effective guide for aspiring Java developers to ace their programming interviews (Anghel Leonard) 2020
  74. Angular for Enterprise-Ready Web Applications. Build and deliver production-grade and cloud-scale evergreen web apps with Angular 9 and beyond (Doguhan Uluca) 2020
  75. Angular Design Patterns. Implement the Gang of Four patterns in your apps with Angular (Mathieu Nayrolles) 2018
  76. Applied Natural Language Processing in the Enterprise. Teaching Machines to Read, Write, and Understand (Ankur A. Patel) 2021
  77. Hands-On Unsupervised Learning Using Python. How to Build Applied Machine Learning Solutions from Unlabeled Data (Ankur A. Patel) 2018
  78. Tableau Strategies. Solving Real, Practical Problems with Data Analytics (Ann Jackson) 2021
  79. Storytelling in Design. Defining, Designing, and Selling Multidevice Products (Anna Dahlström) 2019
  80. The Data Storytelling Workbook (Anna Feigenbaum, Aria Alamalhodaei) 2020
  81. Ansible for DevOps. Server and configuration management for humans (Jeff Geerling) 2015
  82. CPython Internals Your Guide to the Python 3 Interpreter (Anthony Shaw) 2020
  83. SQL Cookbook. Query Solutions and Techniques for All SQL Users (Anthony Molinaro, Robert de Graaf) 2021
  84. Data Science on AWS. Implementing End-to-End, Continuous AI and Machine Learning Pipelines (Antje Barth) 2021
  85. Drupal 9 Module Development. Get up and running with building powerful Drupal modules and applications (Daniel Sipos) 2020
  86. Apache Essentials. Install, Conf igure, Maintain (Darren James Harkness) 2022
  87. Applied Data Science with Python and Jupyter (Alex Galea) 2018
  88. Adaptive Machine Learning Algorithms with Python. Solve Data Analytics and Machine Learning Problems on Edge Devices (Chanchal Chatterjee) 2022
  89. Advanced Unity Game Development. Build Professional Games with Unity, C#, and Visual Studio (Victor G Brusca) 2022
  90. Beginning AWS Security. Build Secure, Effective, and Efficient AWS Architecture (Tasha Penwell) 2023
  91. Beginning Azure Functions. Building Scalable and Serverless Apps (Rahul Sawhney, Kalyan Chanumolu) 2023
  92. Beginning Cloud Native Development with MicroProfile, Jakarta EE, and Kubernetes. Java DevOps for Building and Deploying Microservices-based Applications (Tarun Telang) 2023
  93. Beginning C++23. From Beginner to Pro (Ivor Horton, Peter Van Weert) 2023
  94. Beginning iOS Game Center and GameKit. For iOS, tvOS, and MacOS (Kyle Richter, Beau G. Bolle) 2022
  95. Beginning Java Objects. From Concepts to Code (Jacquie Barker) 2023
  96. Beginning Kotlin. Build Applications with Better Code, Productivity, and Performance (Ted Hagos) 2023
  97. Beginning Microsoft Dataverse. Exploiting Microsof t’s Low-code Database for the Power Platform (Brian Hodel) 2023
  98. Beginning React and Firebase. Create Four Beginner-Friendly Projects Using React and Firebase (Nabendu Biswas) 2022
  99. Blockchain for Teens. With Case Studies and Examples of Blockchain Across Various Industries (Brian Wu, Bridget Wu) 2023
  100. Build Your Own Test Framework. A Practical Guide to Writing Better Automated Tests (Daniel Irvine) 2023

Download Link

Happy learning!

100 Coding & Hacking Ebooks V1
100 Coding & Hacking Ebooks V2

5 Likes