Litgu.ru - Литературный Гуру

Название: Algorithms and Data Structures in Action (MEAP Edition)
Автор: Marcello La Rocca
Издательство: Manning Publications
Год: 2019
Формат: True PDF/ePub
Страниц: 286
Размер: 17.6 Mb
Язык: English

As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Algorithms and Data Structures in Action teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques.

Название: Unit Testing Principles, Practices, and Patterns (MEAP Edition)
Автор: Vladimir Khorikov
Издательство: Manning Publications
Год: 2019
Формат: True PDF/ePub/MOBI
Страниц: 288
Размер: 10.3 mb
Язык: English

Unit Testing Principles, Patterns and Practices shows you how to refine your existing unit tests by implementing modern best practices. You’ll learn to spot which tests are performing, which need refactoring, and which need to be deleted entirely! Upgrade your testing suite with new testing styles, good patterns, and reliable automated testing.

Название: Python for Data Analysis: A Step By Step Guide to Master the Basics of Data Analysis in Python Using Pandas, Numpy And Ipython
Автор: Andrew Park
Издательство: Amazon Digital Services LLC
Год: 2019
Язык: английский
Формат: epub, pdf (conv)
Размер: 10.1 MB

If you want to learn more about Data Analysis or how to master it with the Python Programming Language, then keep reading. Everyone talks about data today. You have probably come across the term “data” more times than you can remember in one day. Data as a concept is so wide. One thing that is true about data is that it can be used to tell a story. The story could be anything from explaining an event to predicting the future.

Название: Data Science with Python and Dask
Автор: Jesse C. Daniel
Издательство: Manning Publications
Год: 2019
Формат: EPUB, PDF
Страниц: 296
Для сайта: litgu.ru
Размер: 38,4 Mb
Язык: English

Data Science with Python and Dask teaches you to build scalable projects that can handle massive datasets. After meeting the Dask framework, you'll analyze data in the NYC Parking Ticket database and use DataFrames to streamline your process. Then, you'll create machine learning models using Dask-ML, build interactive visualizations, and build clusters using AWS and Docker.

Название: Coding: 3 books in 1 : "Learn Python coding and programming book 1 & 2 + Linux for Beginners"
Автор: Michael Clark
Издательство: Amazon Digital Services LLC
Год: 2019
Формат: PDF
Страниц: 416
Размер: 10,5 Mb
Язык: English

Do you want to learn Python Programming

Название: Learn Python: Crash Course to Learn Algorithms Just By Doing Some Practice. It Will Really Help Your Career Out
Автор: Tim Wired
Издательство: Amazon Digital Services LLC
Год: 2019
Формат: PDF, EPUB
Страниц: 146
Размер: 11 Mb
Язык: English

GROW YOUR INCOME WHILE LEARNING A COMPUTER LANGUAGE…
“LEARN PYTHON” – the name of our new book and of the most popular computer programming languages in the world. It’s a complete guide for beginners and more advanced programmers to expand their knowledge on Python language and how it can be used for Machine Learning.

Название: Practical Data Science with R, 2nd Edition
Автор: Nina Zumel, John Mount
Издательство: Manning Publications
Год: 2020
Страниц: 568
Язык: английский
Формат: pdf (true)
Размер: 24.2 MB

Practical Data Science with R, Second Edition is a task-based tutorial that leads readers through dozens of useful, data analysis practices using the R language. By concentrating on the most important tasks you'll face on the job, this friendly guide is comfortable both for business analysts and data scientists. Because data is only useful if it can be understood, you'll also find fantastic tips for organizing and presenting data in tables, as well as snappy visualizations.

Название: Designing for Behavior Change: Applying Psychology and Behavioral Economics, 2nd Edition (Early Release)
Автор: Stephen Wendel
Издательство: O’Reilly Media
Год: 2019
Страниц: 137
Язык: английский
Формат: epub, pdf (conv)
Размер: 10.1 MB

Designers and managers hope their products become essential for users—similar to the way Instagram and Lyft have become a way of life for many. Such as deep integration into people’s lives isn’t accidental: it’s a process of careful design and iterative learning. This guide shows you how to apply behavioral science to help your users achieve their goals.

Название: CompTIA IT Fundamentals+ FC0-U61 Cert Guide (Certification Guide)
Автор: Mark Edward Soper
Издательство: Pearson IT Certification
Год: 2019
Страниц: 864
Формат: epub
Размер: 82.3 Mb
Язык: English

Learn, prepare, and practice for CompTIA IT Fundamentals (ITF+) FC0-U61 exam success with this CompTIA Cert Guide from Pearson IT Certification, a leader in IT Certification learning. CompTIA IT Fundamentals Cert Guide is a best-of-breed exam study guide. Leading IT certification expert Mark Edward Soper shares preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills. Material is presented in a concise manner, focusing on increasing your understanding and retention of exam topics.

Название: Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow
Автор: Hisham El-Amir (Author), Mahmoud Hamdy (Author)
Издательство: Apress
Год: 2020
Формат: True PDF
Страниц: 551
Размер: 10.2 Mb
Язык: English

Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects.

You'll learn what a pipeline is and how it works so you can build a full application easily and rapidly. Then troubleshoot and overcome basic Tensorflow obstacles to easily create functional apps and deploy well-trained models. Step-by-step and example-oriented instructions help you understand each step of the deep learning pipeline while you apply the most straightforward and effective tools to demonstrative problems and datasets.