Название: Mastering Python for Bioinformatics (Early Release)
Автор: Ken Youens-Clark
Издательство: O’Reilly Media
Год: 2021
Формат: epub/pdf(conv.)
Страниц: 325
Размер: 13.9 Mb
Язык: English

Life scientists today urgently need training in bioinformatics skills. Too many bioinformatics programs are poorly written and barely maintained--usually by students and researchers who've never learned basic programming skills. This practical guide shows postdoc bioinformatics professionals and students how to exploit the best parts of Python to solve problems in biology while creating documented, tested, reproducible software.
Ken Youens-Clark, author of Tiny Python Projects (Manning), demonstrates not only how to write effective Python code but also how to use tests to write and refactor scientific programs. You'll learn the latest Python features and tools--including linters, formatters, type checkers, and tests--to create documented and tested programs. You'll also tackle 14 challenges at Rosalind, a problem-solving platform for learning bioinformatics and programming.

Название: Righting Software
Автор: Juval Lowy
Издательство: Addison-Wesley Professional
Год: 2019
Формат: true pdf, epub
Страниц: 480
Размер: 22.2 Mb, 10.3 Mb
Язык: English

Right Your Software and Transform Your Career
Righting Software presents the proven, structured, and highly engineered approach to software design that master architect Juval Lowy has practiced and taught around the world. Although companies of every kind have successfully implemented his original design ideas across hundreds of systems, these insights have never before appeared in print.

Название: Understanding Linux Kernel : Absolute Beginners Guide : The most simplified and easiest book to understand, learn, and work
Автор: Md Mahbubur Rahman
Издательство: New York Publishing
Год: 2021
Страниц: 140
Язык: английский
Формат: pdf, mobi, epub
Размер: 10.1 MB

In a computing system, a kernel is the heart of an operating system, and kernel is responsible to manage & run core functionalities and features of an operating system. Kernels have a different type; based on purpose and targeted mechanism. Examples of some kernels are monolithic, micro, modular, and others. Linux inherits the "Monolithic" type of kernel. This kernel was first released by Linus Torvalds in 1991. The Linux kernel is a relatively small part of the full Linux System and it is the core that is responsible for how well the system will work. If you want to write code for Linux Kernel, you are welcome; as Linux kernel is an open-source project. Before getting started you should understand the tech part along with how Linux Kernel Developer Community works. For example, how code of conflict arises and resolves, how to submit process, Linux kernel coding style, and others.

Название: Probability for Machine Learning: Discover How To Harness Uncertainty With Python
Автор: Джейсон Браунли
Издательство: Machine Learning Mastery
Год: 2020
Формат: PDF
Страниц: 319
Размер: 10 Mb
Язык: English

Probability is the bedrock of machine learning. You cannot develop a deep understanding and application of machine learning without it.
Cut through the equations, Greek letters, and confusion, and discover the topics in probability that you need to know.
Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover the importance of probability to machine learning, Bayesian probability, entropy, density estimation, maximum likelihood, and much more.

Название: The Application of Artificial Intelligence: Step-by-Step Guide from Beginner to Expert
Автор: Zoltan Somogyi
Издательство: Springer
Год: 2021
Страниц: 448
Язык: английский
Формат: pdf (true)
Размер: 19.8 MB

This book presents a unique, understandable view of Machine Learning using many practical examples and access to free professional software and open source code. The user-friendly software can immediately be used to apply everything you learn in the book without the need for programming. After an introduction to Machine Learning (ML) and Artificial Intelligence (AI), the chapters in Part II present deeper explanations of Machine Learning algorithms, performance evaluation of Machine Learning models, and how to consider data in Machine Learning environments. In Part III the author explains automatic speech recognition, and in Part IV biometrics recognition, face- and speaker-recognition.

Название: Testing jаvascript with Jest: A Practical Guide to testing vanilla jаvascript
Автор: Santosh Singh
Издательство: Amazon.com Services LLC
Год: 2021
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

If you want to excel in writing the Jest testing framework this book is for you. This book has a lot of real-world example of jest testing. The most general challenge for many developers' day to day life is ensuring the support of, and assuring the reach of, their product. With the ever-increasing number of mainstream web browsers, this is becoming a more difficult task for jаvascript coders. From the beginning, Testing jаvascript with Jest will show you how to reduce the time you spend testing, and automate and ensure efficiency in guaranteeing your success. Testing jаvascript with Jest will introduce and help you master the art of efficiently performing and automating jаvascript Unit tests for your web applications. Using the most popular jаvascript unit testing frameworks, you will develop, integrate, and automate all the tests you need to ensure the widest reach and success of your web application.

Название: Android Software Internals Quick Reference: A Field Manual and Security Reference Guide to Java-based Android Components
Автор: Джеймс Стивенсон
Издательство: Apress
Год: 2021
Формат: PDF, EPUB
Страниц: 176
Размер: 10 Mb
Язык: English

Use this handy field guide as a quick reference book and cheat sheet for all of the techniques you use or reference day to day. Covering up to Android 11, this Android Java programming reference guide focuses on non-UI elements with a security focus. You won’t see Android UI development, nor will you see low-level C or kernel techniques. Instead, this book focuses on easily digestible, useful, and interesting techniques in Java and the Android system.

Название: R in Hand: Basic data analysis and graphics with R
Автор: Vasanthakumar V., Gurusamy P.
Издательство: Amazon.com Services LLC
Год: 2021
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

This Research description has been designed specifically for all categories of researchers which impressively explores the basic data analysis and graphics using R. This edition will satisfy the intensifying need for all social science research and researchers. It acts as an aid to the researcher to know When, Where, How to use the statistical tools in their applied research. It includes R script along with output example images and sample code files.

Название: Advanced Gatsby Projects: Create Two Advanced Sites Using Technologies that Compliment Gatsby
Автор: Nabendu Biswas
Издательство: Apress
Год: 2021
Формат: true pdf/epub
Страниц: 298
Размер: 29.5 Mb
Язык: English

Roll your sleeves up and master advanced topics in Gatsby development by building two production-ready websites. This project-focused book teaches you how to use Gatsby alongside the latest technologies including Snipcart, and Firebase. It builds off of Foundation Gatsby Projects and it's recommended that you complete that first if you are new to Gatsby.

Название: Build Your Own AI Investor: With Machine Learning and Python, Step by Step, 2nd Edition
Автор: Damon Lee
Издательство: valueinvestingai.com
Год: 2021
Страниц: 281
Язык: английский
Формат: pdf, epub
Размер: 37.2 MB

This Second Edition improves clarity of code, general formatting, text explanations as well as updating the AI for 2021 stock selection. The Machine Learning algorithms are all well and good, but we will need to do some programming to use them. To someone who has never done any coding before this might sound daunting, though there is no reason to worry because the programming language we will be using is Python. Python has effectively become the Machine Learning lingua franca. For beginners, exercises are provided in every chapter to develop your Python skills, slowly building competence until you can use Machine Learning tools for general problems. For advanced readers this books provides a good basis in value investing, framing the stock selection problem in a quantitative way, using Machine Learning algorithms on stock market data.