Category: Tech & Devices

Docker for Developers by Rafael Gomes
Requirements: .ePUB, .PDF, .MOBI/.AZW reader, 10 MB
Overview: This book introduces the use of Docker focusing on best usage practices, based on the 12factor methodology.

This preliminary version of the book focuses on the basic knowledge of Docker. It starts by briefly explaining the infrastructure of the solution, through its architecture, installation, basic commands, understanding and construction of images and containers, use of advanced commands, even manipulation of cloud environments.

We have taken care not to deepen our understanding of Docker infrastructure issues, as many of them should not be a priority for developers who are starting to use Docker for their core business.
Genre: Non-Fiction > Tech & Devices

Download Instructions:
https://ouo.io/fPuihE

https://ouo.io/BY36P1

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Reactive Spring by Josh Long
Requirements: .ePUB reader, 4 MB
Overview: Microservices and big-data increasingly confront us with the limitations of traditional input/output. In traditional IO, work that is IO-bound dominates threads. This wouldn’t be such a big deal if we could add more threads cheaply, but threads are expensive on the JVM, and most other platforms. Even if threads were cheap and infinitely scalable, we’d still be confronted with the faulty nature of networks. Things break, and they often do so in subtle, but non-exceptional ways. Traditional approaches to integration bury the faulty nature of networks behind overly simplifying abstractions. We need something better.

Join Spring Developer Advocate Josh Long for an introduction to reactive programming in the Spring ecosystem, leveraging the reactive streams specification, Reactor, Spring Boot, Spring Cloud and so much more.

This book will cover important concepts in reactive programming including project Reactor and the reactive streams specification, data access, web programming, RPC with protocols like RSocket, testing, and integration and composition, and more.
Genre: Non-Fiction > Tech & Devices

Download Instructions:
https://ouo.io/59RQEb

https://ouo.io/Ho43wO

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Hacker’s Guide to Machine Learning with Python: Hands-on guide to solving real-world Machine Learning problems [Final Version]
Requirements: .ePUB reader, 16 MB
Overview: This book brings the fundamentals of Machine Learning to you, using tools and techniques used to solve real-world problems in Computer Vision, Natural Language Processing, and Time Series analysis. The skills taught in this book will lay the foundation for you to advance your journey to Machine Learning Mastery!

Deep Learning has revolutionized the Machine Learning field. Python tools like Scikit-Learn, Pandas, TensorFlow, and Keras allows you to develop state-of-the-art applications powered by Machine Learning.

This book is written for you, the Machine Learning practitioner. Every chapter describes a problem and a solution that you’ll encounter in your Machine Learning Journey.
Genre: Non-Fiction > Tech & Devices

Download Instructions:
https://ouo.io/gueWfQ

https://ouo.io/w7pEX0

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Hands-On Machine Learning from Scratch: Develop a Deeper Understanding of Machine Learning Models by Implementing Them from Scratch in Python (Linear Regression, … Random Forest, Neural Networks & more) by Venelin Valkov
Requirements: .ePUB, .MOBI/.AZW reader, 15 MB
Overview: Recent developments in the field of Artificial Intelligence made Machine Learning methods usable and efficient in practice. Tools like PyTorch, TensorFlow, Scikit-Learn make it easy to build your first model.

Unfortunately, reading through a Machine Learning/Deep Learning tutorial showing how to use a library will leave you asking – why does it work, when can I use that and how can I improve it? Now what? This book will help you answer those questions!
Genre: Non-Fiction > Tech & Devices

Download Instructions:
https://ouo.io/e54gMhe
https://ouo.io/i4cdZnM

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Programming Algorithms: A comprehensive guide to writing efficient programs with examples in Lisp by Vsevolod Domkin
Requirements: .ePUB, .PDF, .MOBI/.AZW reader, 27 MB
Overview: The book covers:

All the important data structures and algorithms.

Essential tools that help in the development of algorithmic code.

Real-world engineering considerations and constraints that influence the programs that use these algorithms.

Practical use cases of the applications of the algorithms to a variety of real-world problems.

There is a lot of books on algorithms, but I haven’t seen any that primarily aims to bridge the gap between the theory and practice. This is one of the key distinctions of “Programming Algorithms”. It is definitely not the best exposition of the theoretical ideas, but I hope that, instead, it builds sufficient understanding and skill, for the common developer, to start writing efficient algorithmic programs.

I wanted to finish the book with the following statement: programming craft is primarily about making choices. What approach to prefer, which algorithm to choose, what tradeoffs to make. And, at the other level, what properties to give more priority: speed or safety, brevity or consistency, space or debuggability, clarity or conciseness, and so on and so forth. Lisp is one of the few languages that are “pro-choice”. Its authors understood very well the importance of freedom to make the critical choices, and it is felt in the design of the language. For instance, with the help of declaim we can even signal our preferences to the compiler, to some extent, at the level of a single file or even an individual form. (declaim (optimize (speed 3) (safety 1) (debug 0) (compilation-speed 0))) will ask the compiler to produce the fastest possible code. Yes, this language will not guard you against poor choices like some others claim to do. Sometimes, you’re not wise enough to make a correct choice, but, much more often, every choice just has its pros and cons, so someone will approve of it and someone won’t. And that’s what freedom is about: ownership and responsibility. So, use Lisp if you liked it. And if you prefer other languages, I’d urge you to still take advantage of the concept of freedom of choice in programming. Don’t be constrained by the prevailing paradigms and try to use the best parts of all the different approaches you know…
Genre: Non-Fiction > Tech & Devices

Download Instructions:
https://ouo.io/vXnQ1c

https://ouo.io/3vJr9UT

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