Hundred Books | Study And Pump Up Your Knowledge ⭐

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Hundred 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:

    1. C++ Programming Fundamentals (Dheeraj Malhotra, Neha Malhotra) 2023
    1. Cracking C Programming Interview. 500+ Interview Questions and Explanations to Sharpen Your C Concepts for a Lucrative Programming Career (Tanuj Kumar Jhamb) 2022
    1. A Comprehensive Study of SQL. Practice and Implementation (Jagdish Chandra Patni) 2023
    1. Beginner’s Guide to Code Algorithms. Experiments to Enhance Productivity and Solve Problems (Deepankar Maitra) 2022
    1. Big Data Analytics. A Guide to Data Science Practitioners Making the Transition to Big Data (Ulrich Matter) 2024
    1. Conquering JavaScript Node.js (Sufyan bin Uzayr) 2024
    1. CSS Frameworks. The Ultimate Guide (Sufyan bin Uzayr) 2024
    1. Data Science and Analytics Strategy. An Emergent Design Approach (Kailash Awati, Alexander Scriven) 2023
    1. Deep Learning for Crack-Like Object Detection (Kaige Zhang, Heng-Da Cheng) 2023
    1. Digital Image Processing with C++. Implementing Reference Algorithms with the CImg Library (David Tschumperlé, Christophe Tilmant, Vincent Barra) 2023
    1. Cloud Native Patterns Designing change-tolerant software (Cornelia Davis) 2019
    1. Cloud Native DevOps with Kubernetes. Building, Deploying, and Scaling Modern Applications in the Cloud (John Arundel and Justin Domingus) 2019
    1. Cloud Native Integration with Apache Camel. Building Agile and Scalable Integrations for Kubernetes Platforms (Guilherme Camposo) 2021
    1. Cloud Native Transformation. Practical Patterns for Innovation (Michelle Gienow) 2019
    1. CockroachDB The Definitive Guide. Distributed Data at Scale (Guy Harrison, Jesse Seldess, Ben Darnell) 2022
    1. Coding Theory Algorithms, Architectures, and Applications (Andr´e Neubauer, J¨urgen Freudenberger, Volker K¨uhn) 2007
    1. Approaching (Almost) Any Machine Learning Problem (Aakash Nain, Aditya Soni, Andreas Müller) 2019
    1. Command-Line Rust A Project-Based Primer for Writing Rust CLIs (Ken Youens-Clark) 2022
    1. Complete Guide to Test Automation. Techniques, Practices, and Patterns for Building and Maintaining Effective Software Projects (Arnon Axelrod) 2018
    1. CompTIA PenTest+ Study Guide. Exam PT0-002 (Chapple Mike, Seidl David) 2022
    1. Deep Learning Techniques for Music Generation. Computational Synthesis and Creative Systems (Jean-Pierre Briot, Gaëtan Hadjeres, François-David Pachet) 2020
    1. Computer Networking. A Top-Down Approach (James F. Kurose, Keith W. Ross) 2017
    1. Computer Networks (Andrew S. Tanenbaum) 2003
    1. Computer Science An Interdisciplinary Approach (Robert Sedgewick, Kevin Wayne) 2017
    1. Computer science distilled. Learn the art of solving computational problems (Wladston Viana, Ferreira Filho) 2017
    1. Computer Vision and Augmented Reality in iOS OpenCV and ARKit Applications (Ahmed Fathi Bekhit) 2022
    1. Statistical Analysis with R For Dummies (Joseph Schmuller) 2017
    1. Concurrency in C# Cookbook. Asynchronous, Parallel, and Multithreaded Programming (Stephen Cleary) 2019
    1. Consuming APIs in Laravel. Build Robust and Powerful API Integrations For Your Laravel Projects (Ash Allen) 2022
    1. Container Security. Fundamental Technology Concepts that Protect Containerized Applications (Liz Rice) 2020
    1. Continuous API Management. Making the Right Decisions in an Evolving Landscape (Mehdi Medjaoui, Erik Wilde, Ronnie Mitra, Mike Amundsen) 2022
    1. Control Systems Engineering Design and Implementation using Arm Cortex-M Microcontrollers (Dong-Jim Lim) 2021
    1. Core Java interview questions you’ll most likely be asked (David Han) 2021
    1. Core Kubernetes (Jay Vyas, Chris Love) 2022
    1. Core ML Survival Guide. More than you ever wanted to know about mlmodel files and the Core ML and Vision APIs (Matthijs Hollemans) 2020
    1. C++ for beginners. Your comprehensive step-by-step guide to learn everything about C++ (Daniel Harder) 2021
    1. Cracking Codes with Python. An Introduction to Building and Breaking Ciphers (Al Sweigart) 2018
    1. Cracking the Coding Interview. 189 Programming Questions and Solutions (Gayle Laakmann Mcdowell) 2015
    1. Advanced Platform Development with Kubernetes. Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning (Craig Johnston) 2020
    1. Advanced Smart Computing Technologies in Cybersecurity and Forensics (Keshav Kaushik, Shubham Tayal, Akashdeep Bhardwaj, Manoj Kumar) 2022
    1. Frontend Development. The Ultimate Guide (Sufyan bin Uzayr) 2023
    1. HTML. The Ultimate Guide (Sufyan bin Uzayr) 2024
    1. Mastering jQuery. A Beginner’s Guide (Sufyan bin Uzayr) 2024
    1. Mastering SQL. A Beginner’s Guide (Sufyan bin Uzayr) 2024
    1. Mastering Unity. A Beginner’s Guide (Sufyan bin Uzayr) 2022
    1. PHP. The Ultimate Guide (Sufyan bin Uzayr) 2023
    1. Polymer Processing. Design, Printing and Applications of Multi-Dimensional Techniques (Abhijit Bandyopadhyay, Rahul Chatterjee) 2024
    1. Python for Beginners (Kuldeep Singh Kaswan, Jagjit Singh Dhatterwal, B. Balamurugan) 2023
    1. Quick Java (David Matuszek) 2024
    1. Quick JavaScript (David Matuszek) 2023
    1. Software Design by Example. A Tool-Based Introduction with JavaScript (Greg Wilson) 2023
    1. Web Performance Optimization. A Practical Approach (Sufyan bin Uzayr) 2022
    1. Creating Augmented and Virtual Realities. Theory and Practice for Next-Generation Spatial Computing (Edited by Erin Pangilinan, Steve Lukas, Vasanth Mohan) 2019
    1. Cross-Site Scripting Attacks. Classifcation, Attack, and Countermeasures (B. B. Gupta, Pooja Chaudhary) 2020
    1. CryENGINE Game Programming with C++, C#, and Lua. Get to grips with the essential tools for developing games with the awesome and powerful CryENGINE (Filip Lundgren, Ruan Pearce-Authers) 2013
    1. Cryptography and Cryptanalysis in Java. Creating and Programming Advanced Algorithms with Java SE 17 LTS and Jakarta EE 10 (Stefania Loredana Nita, Marius Iulian Mihailescu) 2022
    1. C# in Depth (Jon Skeet) 2019
    1. Code Like a Pro in C# (Jort Rodenburg) 2021
    1. CSS in Depth (Keith J. Grant) 2018
    1. CSS The Missing Manual (David Sawyer McFarland) 2015
    1. CSS Flex & Grid. Complete Guide with Real World Examples and Code Snippets. Tailwind CSS (Shruti Balasa) 2021
    1. CSS3 The Missing Manual (David Sawyer McFarland) 2013
    1. CUDA Programming. A Developer’s Guide to Parallel Computing with GPUs (Shane Cook) 2013
    1. Cyber Security. The complete guide to cyber threats and protection (David Sutton) 2022
    1. Cybersecurity in Intelligent Networking Systems (Shengjie Xu, Yi Qian, Rose Qingyang Hu) 2023
    1. Cybersecurity Attack and Defense Strategies. Infrastructure security with Red Team and Blue Team tactics (Yuri Diogenes, Erdal Ozkaya) 2018
    1. Cybersecurity Ops with bash. Attack, Defend, and Analyze from the Command Line (Carl Albing) 2019
  • 668)CyBOK. The Cyber Security Body of Knowledge (Awais Rashid, Howard Chivers, George Danezis) 2019
    1. D3 for the Impatient. Interactive Graphics for Programmers and Scientists (Philipp K. Janert) 2019
    1. Machine Learning for Kids. A project-based introduction to artificial intelligence (Dale Lane) 2020
    1. The C++ Workshop. A New, Interactive Approach to Learning C++ (Dale Green, Kurt Guntheroth, Shaun Ross Mitchell) 2020
    1. Secure by Design (Dan Bergh Johnsson, Daniel Deogun, Daniel Sawano) 2019
    1. Learning Java. An Introduction to Real-World Programming with Java (Marc Loy, Patrick Niemeyer, Daniel Leuck) 2020
    1. Efficient MySQL Performance. Best Practices and Techniques (Daniel Nichter) 2021
    1. Algorithmic Thinking. A Problem-Based Introduction (Daniel Zingaro) 2021
    1. Learn to Code by Solving Problems. A Python Programming Primer (Daniel Zingaro) 2021
    1. Designing Cloud Data Platforms (Danil Zburivsky, Lyndra Partner) 2021
    1. JavaScript Novice to Ninja 2nd Edition (Darren Jones) 2017
    1. Data Algorithms with Spark. Recipes and Design Patterns for Scaling Up Using PySpark (Mahmoud Parsian) 2022
    1. Data Analysis from Scratch With Python. Step By Step Guide (Peters Morgan) 2016
    1. Data Mining for Business Analytics. Concepts, Techniques, and Applications in Python (Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel) 2020
    1. Data Structures & Algorithms in Python (John Canning, Alan Broder, Robert Lafore) 2023
    1. Data Structures & Algorithms using Kotlin (Hemant Jain) 2022
    1. Data StructureS in Java (Oswald Campesato) 2023
    1. Data Analysis. A Model Comparison Approach to Regression, ANOVA, and Beyond (Charles M. Judd, Gary H. McClelland, Carey S. Ryan) 2017
    1. Data Management at Scale. Best Practices for Enterprise Architecture (Piethein Strengholt) 2020
    1. Data Science from Scratch. First Principles with Python (Joel Grus) 2019
    1. Data Science in Production Building Scalable Model Pipelines with Python (Ben G. Weber) 2020
    1. Data Science Projects with Python (Stephen Klosterman) 2019
    1. Data Structures and Algorithm Analysis Edition 3.2 C++ Version (Clifford A. Shaffer) 2011
    1. Data Structures and Algorithms in C++ (Michael T. Goodrich, Roberto Tamassia, David M. Mount) 2011
    1. Data Structures & Algorithms in Swift. Implementing practical data structures with Swift 4 (Kelvin Lau, Vincent Ngo) 2018
    1. Data Structures And Algorithms Made Easy. Data Structures and Algorithmic Puzzles (Narasimha Karumanchi) 2017
    1. Data Structures and Algorithms with Scala. A Practitioner’s Approach with Emphasis on Functional Programming (Bhim P. Upadhyaya) 2019
    1. Data Visualisation. A Handbook for Data Driven Design (Andy Kirk) 2019
    1. Data Visualization. A Practical Introduction (Kieran Healy) 2019
    1. Developing Apps with GPT-4 and ChatGPT. Build Intelligent Chatbots, Content Generators, and More (Olivier Caelen, Marie-Alice Blete) 2023
    1. FastAPI Modern Python Web Development (Bill Lubanovic) 2024
    1. Fuzzy Data Matching with SQL. Enhancing Data Quality and Query Performance (Jim Lehmer) 2024
    1. Efficient Go Data-Driven Performance Optimization (Bart?omiej P?otka) 2023
  • Etc!

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