№3. 100 Books to Study. Pump up your knowledge!!!
Learning is light, not learning is darkness. Study and read the good Lord. Vote in favor if you think it will be useful to the forum.
Book list:
201) Beginner’s Guide to Streamlit with Python. Build Web-Based Data and Machine Learning Applications (Sujay Raghavendra) 2023
202) Asynchronous Programming with SwiftUI and Combine. Functional Programming to Build UIs on Apple Platforms (Peter Friese) 2023
203) 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
204) Ansible for Kubernetes by Example. Automate Your Kubernetes Cluster with Ansible (Luca Berton) 2023
205) A Brief Introduction to Web3. Decentralized Web Fundamentals for App Development (Shashank Mohan Jain) 2023
206) Applied Deep Learning. Design and implement your own Neural Networks to solve real-world problems ( Dr. Neeraj Kumar, Dr. Rajkumar Tekchandani) 2023
207) Analog and Hybrid Computer Programming (Bernd Ulmann) 2023
208) Mastering the Lightning Network. A Second Layer Blockchain Protocol for Instant Bitcoin Payments (Andreas M. Antonopoulos, Olaoluwa Osuntokun, René Pickhardt) 2022
209) Algorithms for Decision Making (Mykel J. Kochenderfer, Tim A. Wheeler, Kyle H. Wray) 2022
210) C and C++ Compling. An engineering guide to compiling, linking, and libraries using C and C++ (Milan Stevanovic) 2014
211) Advanced Deep Learning with TensorFlow 2 and Keras (Rowel Atienza) 2020
212) Advanced Guide to Python 3 Programming. Undergraduate Topics in Computer Science ( John Hunt) 2019
213) Advanced Python Programming (Sakis Kasampalis, Quan_Nguyen) 2019
214) Advanced Swift. Updated for Swift 5 (Chris Eidhof) 2019
215) Advances in Financial Machine Learning (Marcos L´opez) 2018
216) Advancing into Analytics. From Excel to Python and R (George Mount) 2021
217) Agile in Practice. Practical Use-cases on Project Management Methods including Agile, Kanban and Scrum (Sudipta Malakar) 2021
218) iOS 14 Programming for Beginners Fifth Edition (Ahmad Sahar) 2020
219) AI and Machine Learning for Coders. A Programmer’s Guide to Artifi cial Intelligence (Laurence Moroney) 2021
220) AI Crash Course. A fun and hands-on introduction to reinforcement learning, deep learning, and artificial intelligence with Python (Hadelin de Ponteves) 2019
221) Django 3 Web Development Cookbook. Actionable solutions to common problems in Python web development (Aidas Bendoraitis, Jake Kronika) 2020
222) Practical Fairness. Achieving Fair and Secure Data Models (Aileen Nielsen) 2020
223) Beyond the Basic Stuff with Python. Best Practices for Writing Clean Code (Al Sweigart) 2020
224) The Big Book of Small Python Projects. 81 Easy Practice Programs (Al Sweigart) 2021
225) Java Fundamentals (Gazihan Alankus) 2019
226) Numerical Methods in Physics with Python (Alex Gezerlis) 2020
227) Mastering MongoDB 4.x. Expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 4.x (Alex Giamas) 2019
228) Implementing Service Level Objectives. A Practical Guide to SLIs, SLOs & Error Budgets (Alex Hidalgo) 2020
229) Becoming a Data Head. How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning (Alex J Gutman, Jordan Goldmeier) 2021
230) Kubernetes Security and Observability. A Holistic Approach to Securing and Troubleshooting Cloud Native Applications (Alex Pollitt) 2021
231) Quarkus Cookbook. Kubernetes-Optimized Java Solutions (Alex Soto Bueno, Jason Porter) 2020
232) Natural Language Processing with Spark NLP. Learning to Understand Text at Scale (Alex Thomas) 2020
233) System Design Interview An Insider’s Guide (Alex Xu) 2022
234) Event Streams in Action. Real-time event systems with kafka and kinesis (Alexander Dean, Valentin Crettaz) 2019
235) Глубокое обучение с подкреплением в действии (Брэндон Браун и Александр Цай) 2020 год
236) Algorithmic Trading with Interactive Brokers. Python and C++ (Matthew Scarpino) 2019
237) Algorithms (Robert Sedgewick, Kevin Wayne) 2011
238) Algorithms (John Paul Mueller, Luca Massaron) 2017
239) Algorithms Unlocked (Thomas H. Cormen) 2013
240) Algorithms (S. Dasgupta, C. H. Papadimitriou, U. V. Vazirani) 2006
241) Algorithms Illuminated. Part 1 The Basics (Tim Roughgarden) 2017
242) Algorithms Illuminated. Part 2 Graph Algorithms and Data Structures (Tim Roughgarden) 2018
243) Algorithms Illuminated. Part 4 Algorithms for NP-Hard Problems (Tim Roughgarden) 2020
244) Algorithms for Optimization (Mykel J. Kochenderfer, Tim A. Wheeler) 2019
245) SQL Pocket Guide. A Guide to SQL Usage (Alice Zhao) 2021
246) Think Bayes, 2nd Edition. Bayesian Statistics in Python (Allen B. Downey) 2021
247) Scala Cookbook, 2nd Edition. Recipes for Object-Oriented and Functional Programming (Alvin Alexander) 2021
248) Hands-On Artificial Intelligence for IoT. Expert machine learning and deep learning techniques for developing smarter IoT systems (Amita Kapoor) 2019
249) An Introduction to GCC, for the GNU Compilers gcc and g++ (Brian Gough) 2004
250) An Introduction to Programming with C++ (Diane Zak) 2016
251) Analytical Skills for AI and Data Science. Building Skills for an AI-Driven Enterprise (Daniel Vaughan) 2020
252) Roguelike Development with JavaScript. Build and Publish Roguelike Genre Games with JavaScript and Phaser (Andre Alves Garzia) 2020
253) Amazon Web Services in Action (Michael Wittig, Andreas Wittig) 2019
254) Deep Learning Patterns and Practices (Andrew Ferlitsch) 2021
255) Conversational AI. Chatbots that work (ANDREW R. FREED) 2021
256) Practical Vulnerability Management. A Strategic Approach to Managing Cyber Risk (Andrew Magnusson) 2020
257) Hacking Kubernetes. Threat-Driven Analysis and Defense (Andrew Martin) 2021
258) Data Science for Beginners Python Programming, Data Analysis, Machine Learning. Data Science From Scratch Using Python (Andrew Park) 2020
259) Head First C#, 4th Edition. A Learner’s Guide to Real-World Programming with C# and .NET Core (Andrew Stellman) 2020
260) Pro C# 8 with .NET Core 3. Foundational Principles and Practices in Programming (Andrew Troelsen, Phil Japikse) 2020
261) Android Application Development All-in-One For Dummies (Barry Burd) 2020
262) Android Apprentice. Beginning Android Development with Kotlin (Darryl Bayliss, Tom Blankenship, Fuad Kamal, Namrata Bandekar) 2020
263) Android Programming The Big Nerd Ranch Guide (Kristin Marsicano) 2019
264) Android Security Internals. An In-Depth Guide to Android’s Security Architecture (Nikolay Elenkov) 2015
265) Android Software Internals Quick Reference. A Field Manual and Security Reference Guide to Java-based Android Components (James Stevenson) 2021
266) Android Test-Driven Development by Tutorials (Victoria Gonda) 2019
267) Discovering Statistics Using R (Andy Field) 2012
268) Testing Java Microservices Using Arquillian, Hoverfly, AssertJ, JUnit, Selenium, and Mockito (Andy Gumbrecht, Alex Soto Bueno) 2018
269) Programming the Internet of Things. An Introduction to Building Integrated, Device-to-Cloud IoT Solutions (Andy King) 2021
270) Building Custom Tasks for SQL Server Integration Services. The Power of .NET for ETL for SQL Server 2019 and Beyond (Andy Leonard) 2021
271) Hardcore Programming for Mechanical Engineers. Build Engineering Applications from Scratch (Ángel Sola Orbaiceta) 2021
272) Spring Boot Persistence Best Practices. Optimize Java Persistence Performance in Spring Boot Applications (Anghel Leonard) 2020
273) The Complete Coding Interview Guide in Java. An effective guide for aspiring Java developers to ace their programming interviews (Anghel Leonard) 2020
274) 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
275) Angular Design Patterns. Implement the Gang of Four patterns in your apps with Angular (Mathieu Nayrolles) 2018
276) Applied Natural Language Processing in the Enterprise. Teaching Machines to Read, Write, and Understand (Ankur A. Patel) 2021
277) Hands-On Unsupervised Learning Using Python. How to Build Applied Machine Learning Solutions from Unlabeled Data (Ankur A. Patel) 2018
278) Tableau Strategies. Solving Real, Practical Problems with Data Analytics (Ann Jackson) 2021
279) Storytelling in Design. Defining, Designing, and Selling Multidevice Products (Anna Dahlström) 2019
280) The Data Storytelling Workbook (Anna Feigenbaum, Aria Alamalhodaei) 2020
281) Ansible for DevOps. Server and configuration management for humans (Jeff Geerling) 2015
282) CPython Internals Your Guide to the Python 3 Interpreter (Anthony Shaw) 2020
283) SQL Cookbook. Query Solutions and Techniques for All SQL Users (Anthony Molinaro, Robert de Graaf) 2021
284) Data Science on AWS. Implementing End-to-End, Continuous AI and Machine Learning Pipelines (Antje Barth) 2021
285) Drupal 9 Module Development. Get up and running with building powerful Drupal modules and applications (Daniel Sipos) 2020
286) Apache Essentials. Install, Conf igure, Maintain (Darren James Harkness) 2022
287) Applied Data Science with Python and Jupyter (Alex Galea) 2018
288) Adaptive Machine Learning Algorithms with Python. Solve Data Analytics and Machine Learning Problems on Edge Devices (Chanchal Chatterjee) 2022
289) Advanced Unity Game Development. Build Professional Games with Unity, C#, and Visual Studio (Victor G Brusca) 2022
290) Beginning AWS Security. Build Secure, Effective, and Efficient AWS Architecture (Tasha Penwell) 2023
291) Beginning Azure Functions. Building Scalable and Serverless Apps (Rahul Sawhney, Kalyan Chanumolu) 2023
292) Beginning Cloud Native Development with MicroProfile, Jakarta EE, and Kubernetes. Java DevOps for Building and Deploying Microservices-based Applications (Tarun Telang) 2023
293) Beginning C++23. From Beginner to Pro (Ivor Horton, Peter Van Weert) 2023
294) Beginning iOS Game Center and GameKit. For iOS, tvOS, and MacOS (Kyle Richter, Beau G. Bolle) 2022
295) Beginning Java Objects. From Concepts to Code (Jacquie Barker) 2023
296) Beginning Kotlin. Build Applications with Better Code, Productivity, and Performance (Ted Hagos) 2023
297) Beginning Microsoft Dataverse. Exploiting Microsof t’s Low-code Database for the Power Platform (Brian Hodel) 2023
298) Beginning React and Firebase. Create Four Beginner-Friendly Projects Using React and Firebase (Nabendu Biswas) 2022
299) Blockchain for Teens. With Case Studies and Examples of Blockchain Across Various Industries (Brian Wu, Bridget Wu) 2023
300) Build Your Own Test Framework. A Practical Guide to Writing Better Automated Tests (Daniel Irvine) 2023
Download link:
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