# Hundred Books | Study And Pump Up Your Knowledge ⭐ **URL:** \ **Category:** Tutorials & Methods\ **Tags:** learning, freebies\ **Created:** [January 9, 2024, 9:00pm UTC](https://onehack.st/t/hundred-books-study-and-pump-up-your-knowledge/271630 "2024-01-09T21:00:35Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![Prometheus](https://onehack.st/user_avatar/onehack.st/prometheus/32/34950_2.png) [@Prometheus](https://onehack.st/u/Prometheus)\ **Post date:** [January 9, 2024, 9:00pm UTC](https://onehack.st/t/hundred-books-study-and-pump-up-your-knowledge/271630/1 "2024-01-09T21:00:35Z")
**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! **Download Method:** Go to **[Base64](https://www.base64decode.org/)** and decode the hash code ```auto aHR0cHM6Ly9tZWdhLm56L2ZvbGRlci90ckZuallDTCNCVndwRlFXWS1EZU5iSVVzQllMc2ln ``` `Source: Nulled/Onehack.us` **Happy learning!** > **DISCLAIMER** : No Copyright Infringement Intended, All Rights Reserved to the Actual Owner. > > `This content has been shared under Educational And Non-Profit Purposes Only.` > > - For Copyright Content Removal Please Contact the Original Poster (OP) > _1Hack have no control over the shared content and nature of the external sites._