Leak №8. 100 Books to Study. Pump up your knowledge!!!

[156]

№8. 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:
701) Deep Learning for Data Architects. Unleash the power of Python’s deep learning algorithms (Shekhar Khandelwal) 2024
702) Deep Learning on Microcontrollers. Learn how to develop embedded AI applications using TinyML (Atul Krishna Gupta, Dr. Siva Prasad Nandyala) 2023
703) Democratizing Application Development with Betty Blocks. Build powerful applications that impact business immediately with no-code app development (Reinier van Altena) 2023
704) Demystifying Cryptography with OpenSSL 3.0 Discover the best techniques to enhance your network security with OpenSSL 3.0 (Alexei Khlebnikov) 2022
705) Designing APIs with Swagger and OpenAPI (Joshua S. Ponelat, Lukas L. Rosenstock) 2022
706) Designing Machine Learning Systems An Iterative Process for Production-Ready Applications (Chip Huyen) 2022
707) DevOps Tools for Java Developers. Best Practices from Source Code to Production Containers (Stephen Chin, Melissa McKay, Ixchel Ruiz, and Baruch Sadogursky) 2022
708) Efficient Linux at the Command Line Boost Your Command-Line Skills (Daniel J. Barrett) 2022
709) Embedded Software Design A Practical Approach to Architecture, Processes, and Coding Techniques (Jacob Beningo) 2022
710) End-to-End Web Testing with Cypress. Explore techniques for automated frontend web testing with Cypress and JavaScript (Waweru Mwaura) 2021
711) Professional Git (Brent Laster) 2017
712) Data Visualization with Python and JavaScript. Scrape, Clean, Explore, and Transform Your Data (Kyran Dale) 2022
713) Database Design for Mere Mortals. A Hands-On Guide to Relational Database Design (Michael J. Hernandez) 2020
714) Database Internals. A Deep Dive into How Distributed Data Systems Work (Alex Petrov) 2019
715) Database System Concepts (Abraham Silberschatz, Henry F. Korth, S. Sudarshan) 2020
716) Data-Oriented Programming. Reduce Software Complexity (Yehonathan Sharvit) 2022
717) Graph Databases in Action. Examples in Gremlin (Dave Bechberger, Josh Perryman) 2020
718) Python Basics A Practical Introduction to Python 3. Real Python (Fletcher Heisler, David Amos, Dan Bader, Joanna Jablonski) 2020
719) Linux Observability with BPF. Advanced Programming for Performance Analysis and Networking (David Calavera) 2019
720) Full-Stack React, TypeScript, and Node. Build cloud-ready web applications using React 17 with Hooks and GraphQL (David Choi) 2020
721) Head First C. A Brain Friendly Guide (David Griffiths, Dawn Griffiths) 2012
722) React Cookbook. Recipes for Mastering the React Framework (David Griffiths) 2021
723) Node.js Web Development. Server-side web development made easy with Node 14 using practical examples (David Herron) 2020
724) Classic Computer Science Problems in Java (David Kopec) 2020
725) The Art of Statistics. How to learn from data (David Spiegelhalter) 2019
726) Real-World Cryptography (David Wong) 2021
727) Introducing Data Science. Big data, machine learning, and more, using python tools (Davy Cielen, Arno D. B. Meysman, Mohamed Ali) 2016
728) Head First Android Development. A Learner`s Guide to Building Android Apps with Kotlin (Dawn Griffiths) 2022
729) Programming Scala. Scalability = Functional Programming + Objects (Dean Wampler) 2021
730) Deep Learning. A Visual Approach (Andrew Glassner) 2021
731) Deep Learning. The MIT Press Essential Knowledge Series (John D. Kelleher) 2019
732) Deep Learning with Python (Francois Chollet) 2018
733) Deep Learning From Basics to Practice (Andrew Glassner) 2018
734) Deep Learning and Convolutional Neural Networks for Medical Image Computing. Precision Medicine, High Performance and Large-Scale Datasets (Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang  Editors) 201
735) Deep Learning and the Game of Go (Max Pumperla, Kevin Ferguson) 2019
736) Deep Learning Cookbook. Practical Recipes to Get Started Quickly (Douwe Osinga) 2018
737) Deep Learning for Coders with fastai and PyTorch. AI Applications Without a PhD (Jeremy Howard) 2020
738) Deep Learning for NLP and Speech Recognition (Uday Kamath, John Liu, James Whitaker) 2019
739) Deep Learning for Vision Systems (Mohamed Elgendy) 2020
740) Deep Learning from Scratch. Building with Python from First Principles (Seth Weidman) 2019
741) Deep Learning Illustrated. A Visual, Interactive Guide to Artificial Intelligence (Jon Krohn, Grant Beyleveld, Aglaé Bassens) 2020
742) Deep Learning with JavaScript. Neural Networks in TensorFlow.js (Shanqing Cai, Stanley Bileschi) 2020
743) Deep Learning with PyTorch (Eli Stevens, Luca Antiga, Thomas Viehmann) 2020
744) Manning Early Access Program. Deep Learning with R (Francois Chollet, J.J. Allaire) 2017
745) Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API (Antonio Gulli, Amita Kapoor, Sujit Pal) 2019
746) Deep Reinforcement Learning Hands-On. Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more (Maxim Lapan) 2020
747) Artificial Intelligence By Example. Acquire advanced AI, machine learning, and deep learning design skills (Denis Rothman) 2020
748) Transformers for Natural Language Processing. Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more (Denis Rothman) 2021
749) Full Stack Python Security. Cryptography, TLS, and attack resistance (Dennis Byrne) 2021
750) Dependency Injection Principles Practices and Patterns (Steven Van Deursen, Mark Seemann) 2019
751) Deploy Machine Learning Models to Production. With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform (Pramod Singh) 2021
752) NGINX Unit Cookbook. Recipes for Using a Versatile Open Source Server (Derek DeJonghe) 2020
753) Retro Game Dev C64 Edition (Derek Morris) 2017
754) Design Patterns for Cloud Native Applications. Patterns in Practice Using APIs, Data, Events, and Streams (Kasun Indrasiri, Sriskandarajah Suhothayan) 2021
755) Design Patterns in .NET 6 Reusable Approaches in C# and F# for Object-Oriented Software Design (Dmitri Nesteruk) 2022
756) Design Patterns in C#. A Hands-on Guide with Real-world Examples (Vaskaran Sarcar) 2020
757) Designing Secure Software. A Guide for Developers (Loren Kohnfelder) 2022
758) Designing Data-Intensive Applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (Martin Kleppmann) 2017
759) Designing for Behavior Change. Applying Psychology and Behavioral Economics (Stephen Wendel) 2020
760) Designing Interfaces Patterns for Eff ective Interaction Design (Jenifer Tidwell, Charles Brewer, Aynne Valencia) 2020
761) Designing Web APIs Building APIs Th at Developers Love (Brenda Jin, Saurabh Sahni, Amir Shevat) 2018
762) The Python 3 Standard Library by Example (Doug Hellmann) 2017
763) Developing 2D Games with Unity Independent Game Programming with C# (Jared Halpern) 2019
764) Developing Essbase Applications. Hybrid Techniques and Practices (Cameron Lackpour) 2016
765) Developing Analytic Talent. Becoming a Data Scientist (Vincent Granville) 2014
766) DevOps For Dummies (Emily Freeman) 2019
767) Devops for the Desperate. A Hands-on Survival Guide (Bradley Smith) 2022
768) DevOps in Python. Infrastructure as Python (Moshe Zadka) 2019
769) Digital Audio Theory. A Practical Guide (Christopher L. Bennett) 2021
770) Distributed Services with Go. Your Guide to Reliable, Scalable, and Maintainable Systems (Travis Jeffery) 2021
771) Distributed Tracing in Practice Instrumenting, Analyzing, and Debugging Microservices (Austin Parker, Daniel Spoonhower, Jonathan Mace, Rebecca Isaacs) 2020
772) Dive Into Design Patterns (Alexander Shvets) 2019
773) Django 2 by Example. Build powerful and reliable Python web applications from scratch (Antonio Melé) 2018
774) Django 3 By Example. Build powerful and reliable Python web applications from scratch (Antonio Melé) 2020
775) Django for APIs. Build web APIs with Python and Django (William S. Vincent) 2019
776) Django for Professionals. Production websites with Python & Django (William S. Vincent) 2019
777) Django RESTful Web Services (Gaston C. Hillar) 2018
778) Deep Learning on Graphs (Yao Ma, Jiliang Tang) 2020
779) Docker The Complete Beginners Guide to Start with Docker (Austin Spencer) 2016
780) Docker for Rails Developers. Build, Ship, and Run Your Applications Everywhere (Rob Isenberg) 2019
781) Java All-in-One For Dummies (Doug Lowe) 2020
782) How JavaScript Works (Douglas Crockford) 2018
783) CALCULUS. An Intuitive and Physical Approach (Morris Kline) 1977
784) Introduction to Graph Theory (Richard J. Trudeau) 1993
785) Calculus For Dummies (Mark Ryan) 2014
786) Dynamic SQL. Applications, Performance, and Security in Microsof t SQL Server (Edward Pollack) 2019
787) Cassandra The Definitive Guide Distributed Data at Web Scale (Jeff Carpenter, Eben Hewitt) 2020
788) Type-Driven Development with Idris (Edwin Brady) 2017
789) Effective Pandas Patterns for Data Manipulation (Matt Harrison) 2021
790) Effective Software Testing. A Developer’s Guide (Mauricio Aniche) 2022
791) Effective C. An Introduction to Professional C Programming (Robert C. Seacord) 2020
792) Eff ective DevOps. Building a Culture of Collaboration, Affi nity, and Tooling at Scale (Jennifer Davis, Katherine Daniels) 2015
793) Effective Kafka. A Hands-On Guide to Building Robust and Scalable Event-Driven Applications with Code Examples in Java (Emil Koutanov) 2021
794) Effective Python 90 Specific Ways to Write Better Python (Brett Slatkin) 2019
795) Effective TypeScript. 62 Specific Ways to Improve Your TypeScript (Dan Vanderkam) 2020
796) SPA Design and Architecture. Understanding single-page web applications (Emmit A. Scott) 2016
797) Electronics Cookbook. Practical Electronic Recipes with Arduino and Raspberry Pi (Simon Monk) 2017
798) Elementary Linear Algebra (Howard Anton, Anton Kaul) 2019
799) Elementary Math for Computer Science with Python (Eric Bennett) 2020
800) Eloquent JavaScript. A Modern Introduction to Programming (Marijn Haverbeke) 2019

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№8. 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:
701) Deep Learning for Data Architects. Unleash the power of Python’s deep learning algorithms (Shekhar Khandelwal) 2024
702) Deep Learning on Microcontrollers. Learn how to develop embedded AI applications using TinyML (Atul Krishna Gupta, Dr. Siva Prasad Nandyala) 2023
703) Democratizing Application Development with Betty Blocks. Build powerful applications that impact business immediately with no-code app development (Reinier van Altena) 2023
704) Demystifying Cryptography with OpenSSL 3.0 Discover the best techniques to enhance your network security with OpenSSL 3.0 (Alexei Khlebnikov) 2022
705) Designing APIs with Swagger and OpenAPI (Joshua S. Ponelat, Lukas L. Rosenstock) 2022
706) Designing Machine Learning Systems An Iterative Process for Production-Ready Applications (Chip Huyen) 2022
707) DevOps Tools for Java Developers. Best Practices from Source Code to Production Containers (Stephen Chin, Melissa McKay, Ixchel Ruiz, and Baruch Sadogursky) 2022
708) Efficient Linux at the Command Line Boost Your Command-Line Skills (Daniel J. Barrett) 2022
709) Embedded Software Design A Practical Approach to Architecture, Processes, and Coding Techniques (Jacob Beningo) 2022
710) End-to-End Web Testing with Cypress. Explore techniques for automated frontend web testing with Cypress and JavaScript (Waweru Mwaura) 2021
711) Professional Git (Brent Laster) 2017
712) Data Visualization with Python and JavaScript. Scrape, Clean, Explore, and Transform Your Data (Kyran Dale) 2022
713) Database Design for Mere Mortals. A Hands-On Guide to Relational Database Design (Michael J. Hernandez) 2020
714) Database Internals. A Deep Dive into How Distributed Data Systems Work (Alex Petrov) 2019
715) Database System Concepts (Abraham Silberschatz, Henry F. Korth, S. Sudarshan) 2020
716) Data-Oriented Programming. Reduce Software Complexity (Yehonathan Sharvit) 2022
717) Graph Databases in Action. Examples in Gremlin (Dave Bechberger, Josh Perryman) 2020
718) Python Basics A Practical Introduction to Python 3. Real Python (Fletcher Heisler, David Amos, Dan Bader, Joanna Jablonski) 2020
719) Linux Observability with BPF. Advanced Programming for Performance Analysis and Networking (David Calavera) 2019
720) Full-Stack React, TypeScript, and Node. Build cloud-ready web applications using React 17 with Hooks and GraphQL (David Choi) 2020
721) Head First C. A Brain Friendly Guide (David Griffiths, Dawn Griffiths) 2012
722) React Cookbook. Recipes for Mastering the React Framework (David Griffiths) 2021
723) Node.js Web Development. Server-side web development made easy with Node 14 using practical examples (David Herron) 2020
724) Classic Computer Science Problems in Java (David Kopec) 2020
725) The Art of Statistics. How to learn from data (David Spiegelhalter) 2019
726) Real-World Cryptography (David Wong) 2021
727) Introducing Data Science. Big data, machine learning, and more, using python tools (Davy Cielen, Arno D. B. Meysman, Mohamed Ali) 2016
728) Head First Android Development. A Learner`s Guide to Building Android Apps with Kotlin (Dawn Griffiths) 2022
729) Programming Scala. Scalability = Functional Programming + Objects (Dean Wampler) 2021
730) Deep Learning. A Visual Approach (Andrew Glassner) 2021
731) Deep Learning. The MIT Press Essential Knowledge Series (John D. Kelleher) 2019
732) Deep Learning with Python (Francois Chollet) 2018
733) Deep Learning From Basics to Practice (Andrew Glassner) 2018
734) Deep Learning and Convolutional Neural Networks for Medical Image Computing. Precision Medicine, High Performance and Large-Scale Datasets (Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang  Editors) 201
735) Deep Learning and the Game of Go (Max Pumperla, Kevin Ferguson) 2019
736) Deep Learning Cookbook. Practical Recipes to Get Started Quickly (Douwe Osinga) 2018
737) Deep Learning for Coders with fastai and PyTorch. AI Applications Without a PhD (Jeremy Howard) 2020
738) Deep Learning for NLP and Speech Recognition (Uday Kamath, John Liu, James Whitaker) 2019
739) Deep Learning for Vision Systems (Mohamed Elgendy) 2020
740) Deep Learning from Scratch. Building with Python from First Principles (Seth Weidman) 2019
741) Deep Learning Illustrated. A Visual, Interactive Guide to Artificial Intelligence (Jon Krohn, Grant Beyleveld, Aglaé Bassens) 2020
742) Deep Learning with JavaScript. Neural Networks in TensorFlow.js (Shanqing Cai, Stanley Bileschi) 2020
743) Deep Learning with PyTorch (Eli Stevens, Luca Antiga, Thomas Viehmann) 2020
744) Manning Early Access Program. Deep Learning with R (Francois Chollet, J.J. Allaire) 2017
745) Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API (Antonio Gulli, Amita Kapoor, Sujit Pal) 2019
746) Deep Reinforcement Learning Hands-On. Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more (Maxim Lapan) 2020
747) Artificial Intelligence By Example. Acquire advanced AI, machine learning, and deep learning design skills (Denis Rothman) 2020
748) Transformers for Natural Language Processing. Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more (Denis Rothman) 2021
749) Full Stack Python Security. Cryptography, TLS, and attack resistance (Dennis Byrne) 2021
750) Dependency Injection Principles Practices and Patterns (Steven Van Deursen, Mark Seemann) 2019
751) Deploy Machine Learning Models to Production. With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform (Pramod Singh) 2021
752) NGINX Unit Cookbook. Recipes for Using a Versatile Open Source Server (Derek DeJonghe) 2020
753) Retro Game Dev C64 Edition (Derek Morris) 2017
754) Design Patterns for Cloud Native Applications. Patterns in Practice Using APIs, Data, Events, and Streams (Kasun Indrasiri, Sriskandarajah Suhothayan) 2021
755) Design Patterns in .NET 6 Reusable Approaches in C# and F# for Object-Oriented Software Design (Dmitri Nesteruk) 2022
756) Design Patterns in C#. A Hands-on Guide with Real-world Examples (Vaskaran Sarcar) 2020
757) Designing Secure Software. A Guide for Developers (Loren Kohnfelder) 2022
758) Designing Data-Intensive Applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (Martin Kleppmann) 2017
759) Designing for Behavior Change. Applying Psychology and Behavioral Economics (Stephen Wendel) 2020
760) Designing Interfaces Patterns for Eff ective Interaction Design (Jenifer Tidwell, Charles Brewer, Aynne Valencia) 2020
761) Designing Web APIs Building APIs Th at Developers Love (Brenda Jin, Saurabh Sahni, Amir Shevat) 2018
762) The Python 3 Standard Library by Example (Doug Hellmann) 2017
763) Developing 2D Games with Unity Independent Game Programming with C# (Jared Halpern) 2019
764) Developing Essbase Applications. Hybrid Techniques and Practices (Cameron Lackpour) 2016
765) Developing Analytic Talent. Becoming a Data Scientist (Vincent Granville) 2014
766) DevOps For Dummies (Emily Freeman) 2019
767) Devops for the Desperate. A Hands-on Survival Guide (Bradley Smith) 2022
768) DevOps in Python. Infrastructure as Python (Moshe Zadka) 2019
769) Digital Audio Theory. A Practical Guide (Christopher L. Bennett) 2021
770) Distributed Services with Go. Your Guide to Reliable, Scalable, and Maintainable Systems (Travis Jeffery) 2021
771) Distributed Tracing in Practice Instrumenting, Analyzing, and Debugging Microservices (Austin Parker, Daniel Spoonhower, Jonathan Mace, Rebecca Isaacs) 2020
772) Dive Into Design Patterns (Alexander Shvets) 2019
773) Django 2 by Example. Build powerful and reliable Python web applications from scratch (Antonio Melé) 2018
774) Django 3 By Example. Build powerful and reliable Python web applications from scratch (Antonio Melé) 2020
775) Django for APIs. Build web APIs with Python and Django (William S. Vincent) 2019
776) Django for Professionals. Production websites with Python & Django (William S. Vincent) 2019
777) Django RESTful Web Services (Gaston C. Hillar) 2018
778) Deep Learning on Graphs (Yao Ma, Jiliang Tang) 2020
779) Docker The Complete Beginners Guide to Start with Docker (Austin Spencer) 2016
780) Docker for Rails Developers. Build, Ship, and Run Your Applications Everywhere (Rob Isenberg) 2019
781) Java All-in-One For Dummies (Doug Lowe) 2020
782) How JavaScript Works (Douglas Crockford) 2018
783) CALCULUS. An Intuitive and Physical Approach (Morris Kline) 1977
784) Introduction to Graph Theory (Richard J. Trudeau) 1993
785) Calculus For Dummies (Mark Ryan) 2014
786) Dynamic SQL. Applications, Performance, and Security in Microsof t SQL Server (Edward Pollack) 2019
787) Cassandra The Definitive Guide Distributed Data at Web Scale (Jeff Carpenter, Eben Hewitt) 2020
788) Type-Driven Development with Idris (Edwin Brady) 2017
789) Effective Pandas Patterns for Data Manipulation (Matt Harrison) 2021
790) Effective Software Testing. A Developer’s Guide (Mauricio Aniche) 2022
791) Effective C. An Introduction to Professional C Programming (Robert C. Seacord) 2020
792) Eff ective DevOps. Building a Culture of Collaboration, Affi nity, and Tooling at Scale (Jennifer Davis, Katherine Daniels) 2015
793) Effective Kafka. A Hands-On Guide to Building Robust and Scalable Event-Driven Applications with Code Examples in Java (Emil Koutanov) 2021
794) Effective Python 90 Specific Ways to Write Better Python (Brett Slatkin) 2019
795) Effective TypeScript. 62 Specific Ways to Improve Your TypeScript (Dan Vanderkam) 2020
796) SPA Design and Architecture. Understanding single-page web applications (Emmit A. Scott) 2016
797) Electronics Cookbook. Practical Electronic Recipes with Arduino and Raspberry Pi (Simon Monk) 2017
798) Elementary Linear Algebra (Howard Anton, Anton Kaul) 2019
799) Elementary Math for Computer Science with Python (Eric Bennett) 2020
800) Eloquent JavaScript. A Modern Introduction to Programming (Marijn Haverbeke) 2019

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Greetings, dear forum members. Good luck to all, safe and comfortable environment!
Posted the ninth installment: №9. 100 books for studying. Pump up your knowledge!

[183]

№8. 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:
701) Deep Learning for Data Architects. Unleash the power of Python’s deep learning algorithms (Shekhar Khandelwal) 2024
702) Deep Learning on Microcontrollers. Learn how to develop embedded AI applications using TinyML (Atul Krishna Gupta, Dr. Siva Prasad Nandyala) 2023
703) Democratizing Application Development with Betty Blocks. Build powerful applications that impact business immediately with no-code app development (Reinier van Altena) 2023
704) Demystifying Cryptography with OpenSSL 3.0 Discover the best techniques to enhance your network security with OpenSSL 3.0 (Alexei Khlebnikov) 2022
705) Designing APIs with Swagger and OpenAPI (Joshua S. Ponelat, Lukas L. Rosenstock) 2022
706) Designing Machine Learning Systems An Iterative Process for Production-Ready Applications (Chip Huyen) 2022
707) DevOps Tools for Java Developers. Best Practices from Source Code to Production Containers (Stephen Chin, Melissa McKay, Ixchel Ruiz, and Baruch Sadogursky) 2022
708) Efficient Linux at the Command Line Boost Your Command-Line Skills (Daniel J. Barrett) 2022
709) Embedded Software Design A Practical Approach to Architecture, Processes, and Coding Techniques (Jacob Beningo) 2022
710) End-to-End Web Testing with Cypress. Explore techniques for automated frontend web testing with Cypress and JavaScript (Waweru Mwaura) 2021
711) Professional Git (Brent Laster) 2017
712) Data Visualization with Python and JavaScript. Scrape, Clean, Explore, and Transform Your Data (Kyran Dale) 2022
713) Database Design for Mere Mortals. A Hands-On Guide to Relational Database Design (Michael J. Hernandez) 2020
714) Database Internals. A Deep Dive into How Distributed Data Systems Work (Alex Petrov) 2019
715) Database System Concepts (Abraham Silberschatz, Henry F. Korth, S. Sudarshan) 2020
716) Data-Oriented Programming. Reduce Software Complexity (Yehonathan Sharvit) 2022
717) Graph Databases in Action. Examples in Gremlin (Dave Bechberger, Josh Perryman) 2020
718) Python Basics A Practical Introduction to Python 3. Real Python (Fletcher Heisler, David Amos, Dan Bader, Joanna Jablonski) 2020
719) Linux Observability with BPF. Advanced Programming for Performance Analysis and Networking (David Calavera) 2019
720) Full-Stack React, TypeScript, and Node. Build cloud-ready web applications using React 17 with Hooks and GraphQL (David Choi) 2020
721) Head First C. A Brain Friendly Guide (David Griffiths, Dawn Griffiths) 2012
722) React Cookbook. Recipes for Mastering the React Framework (David Griffiths) 2021
723) Node.js Web Development. Server-side web development made easy with Node 14 using practical examples (David Herron) 2020
724) Classic Computer Science Problems in Java (David Kopec) 2020
725) The Art of Statistics. How to learn from data (David Spiegelhalter) 2019
726) Real-World Cryptography (David Wong) 2021
727) Introducing Data Science. Big data, machine learning, and more, using python tools (Davy Cielen, Arno D. B. Meysman, Mohamed Ali) 2016
728) Head First Android Development. A Learner`s Guide to Building Android Apps with Kotlin (Dawn Griffiths) 2022
729) Programming Scala. Scalability = Functional Programming + Objects (Dean Wampler) 2021
730) Deep Learning. A Visual Approach (Andrew Glassner) 2021
731) Deep Learning. The MIT Press Essential Knowledge Series (John D. Kelleher) 2019
732) Deep Learning with Python (Francois Chollet) 2018
733) Deep Learning From Basics to Practice (Andrew Glassner) 2018
734) Deep Learning and Convolutional Neural Networks for Medical Image Computing. Precision Medicine, High Performance and Large-Scale Datasets (Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang  Editors) 201
735) Deep Learning and the Game of Go (Max Pumperla, Kevin Ferguson) 2019
736) Deep Learning Cookbook. Practical Recipes to Get Started Quickly (Douwe Osinga) 2018
737) Deep Learning for Coders with fastai and PyTorch. AI Applications Without a PhD (Jeremy Howard) 2020
738) Deep Learning for NLP and Speech Recognition (Uday Kamath, John Liu, James Whitaker) 2019
739) Deep Learning for Vision Systems (Mohamed Elgendy) 2020
740) Deep Learning from Scratch. Building with Python from First Principles (Seth Weidman) 2019
741) Deep Learning Illustrated. A Visual, Interactive Guide to Artificial Intelligence (Jon Krohn, Grant Beyleveld, Aglaé Bassens) 2020
742) Deep Learning with JavaScript. Neural Networks in TensorFlow.js (Shanqing Cai, Stanley Bileschi) 2020
743) Deep Learning with PyTorch (Eli Stevens, Luca Antiga, Thomas Viehmann) 2020
744) Manning Early Access Program. Deep Learning with R (Francois Chollet, J.J. Allaire) 2017
745) Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API (Antonio Gulli, Amita Kapoor, Sujit Pal) 2019
746) Deep Reinforcement Learning Hands-On. Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more (Maxim Lapan) 2020
747) Artificial Intelligence By Example. Acquire advanced AI, machine learning, and deep learning design skills (Denis Rothman) 2020
748) Transformers for Natural Language Processing. Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more (Denis Rothman) 2021
749) Full Stack Python Security. Cryptography, TLS, and attack resistance (Dennis Byrne) 2021
750) Dependency Injection Principles Practices and Patterns (Steven Van Deursen, Mark Seemann) 2019
751) Deploy Machine Learning Models to Production. With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform (Pramod Singh) 2021
752) NGINX Unit Cookbook. Recipes for Using a Versatile Open Source Server (Derek DeJonghe) 2020
753) Retro Game Dev C64 Edition (Derek Morris) 2017
754) Design Patterns for Cloud Native Applications. Patterns in Practice Using APIs, Data, Events, and Streams (Kasun Indrasiri, Sriskandarajah Suhothayan) 2021
755) Design Patterns in .NET 6 Reusable Approaches in C# and F# for Object-Oriented Software Design (Dmitri Nesteruk) 2022
756) Design Patterns in C#. A Hands-on Guide with Real-world Examples (Vaskaran Sarcar) 2020
757) Designing Secure Software. A Guide for Developers (Loren Kohnfelder) 2022
758) Designing Data-Intensive Applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (Martin Kleppmann) 2017
759) Designing for Behavior Change. Applying Psychology and Behavioral Economics (Stephen Wendel) 2020
760) Designing Interfaces Patterns for Eff ective Interaction Design (Jenifer Tidwell, Charles Brewer, Aynne Valencia) 2020
761) Designing Web APIs Building APIs Th at Developers Love (Brenda Jin, Saurabh Sahni, Amir Shevat) 2018
762) The Python 3 Standard Library by Example (Doug Hellmann) 2017
763) Developing 2D Games with Unity Independent Game Programming with C# (Jared Halpern) 2019
764) Developing Essbase Applications. Hybrid Techniques and Practices (Cameron Lackpour) 2016
765) Developing Analytic Talent. Becoming a Data Scientist (Vincent Granville) 2014
766) DevOps For Dummies (Emily Freeman) 2019
767) Devops for the Desperate. A Hands-on Survival Guide (Bradley Smith) 2022
768) DevOps in Python. Infrastructure as Python (Moshe Zadka) 2019
769) Digital Audio Theory. A Practical Guide (Christopher L. Bennett) 2021
770) Distributed Services with Go. Your Guide to Reliable, Scalable, and Maintainable Systems (Travis Jeffery) 2021
771) Distributed Tracing in Practice Instrumenting, Analyzing, and Debugging Microservices (Austin Parker, Daniel Spoonhower, Jonathan Mace, Rebecca Isaacs) 2020
772) Dive Into Design Patterns (Alexander Shvets) 2019
773) Django 2 by Example. Build powerful and reliable Python web applications from scratch (Antonio Melé) 2018
774) Django 3 By Example. Build powerful and reliable Python web applications from scratch (Antonio Melé) 2020
775) Django for APIs. Build web APIs with Python and Django (William S. Vincent) 2019
776) Django for Professionals. Production websites with Python & Django (William S. Vincent) 2019
777) Django RESTful Web Services (Gaston C. Hillar) 2018
778) Deep Learning on Graphs (Yao Ma, Jiliang Tang) 2020
779) Docker The Complete Beginners Guide to Start with Docker (Austin Spencer) 2016
780) Docker for Rails Developers. Build, Ship, and Run Your Applications Everywhere (Rob Isenberg) 2019
781) Java All-in-One For Dummies (Doug Lowe) 2020
782) How JavaScript Works (Douglas Crockford) 2018
783) CALCULUS. An Intuitive and Physical Approach (Morris Kline) 1977
784) Introduction to Graph Theory (Richard J. Trudeau) 1993
785) Calculus For Dummies (Mark Ryan) 2014
786) Dynamic SQL. Applications, Performance, and Security in Microsof t SQL Server (Edward Pollack) 2019
787) Cassandra The Definitive Guide Distributed Data at Web Scale (Jeff Carpenter, Eben Hewitt) 2020
788) Type-Driven Development with Idris (Edwin Brady) 2017
789) Effective Pandas Patterns for Data Manipulation (Matt Harrison) 2021
790) Effective Software Testing. A Developer’s Guide (Mauricio Aniche) 2022
791) Effective C. An Introduction to Professional C Programming (Robert C. Seacord) 2020
792) Eff ective DevOps. Building a Culture of Collaboration, Affi nity, and Tooling at Scale (Jennifer Davis, Katherine Daniels) 2015
793) Effective Kafka. A Hands-On Guide to Building Robust and Scalable Event-Driven Applications with Code Examples in Java (Emil Koutanov) 2021
794) Effective Python 90 Specific Ways to Write Better Python (Brett Slatkin) 2019
795) Effective TypeScript. 62 Specific Ways to Improve Your TypeScript (Dan Vanderkam) 2020
796) SPA Design and Architecture. Understanding single-page web applications (Emmit A. Scott) 2016
797) Electronics Cookbook. Practical Electronic Recipes with Arduino and Raspberry Pi (Simon Monk) 2017
798) Elementary Linear Algebra (Howard Anton, Anton Kaul) 2019
799) Elementary Math for Computer Science with Python (Eric Bennett) 2020
800) Eloquent JavaScript. A Modern Introduction to Programming (Marijn Haverbeke) 2019

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Greetings to you, dear forum members. Good luck to everyone, safe and comfortable environment!
The tenth part is posted: №10. 100 books for studying. Pump up your knowledge!
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