Название: Python For Beginners 2020
Автор: BDM
Издательство: Papercut Ltd
Год: 2020
Формат: PDF
Страниц: 94
Размер: 58 Mb
Язык: English

Most of the aspects of Python have been discussed in this book, so you will have the basics to start with no problem. Most people buy programming books for beginners, but most of those books have one problem: don't accompany the reader step-by-step.

Название: Marketing Analytics: Optimize Your Business with Data Science in R, Python, and SQL
Автор: Dave Jacobs
Издательство: Dave Jacobs
Год: 2016
Страниц: 164
Язык: английский
Формат: pdf
Размер: 14.5 MB

Is the term “marketing analytics” unclear to you? Do you want to discover methodologies that will help maximize your marketing efforts? Are you familiar with marketing analytics methodologies but don’t know R, Python, or SQL? If so, then this book is for you. This book will help you to go from zero knowledge of any of these three languages to having a solid grasp of each.

Название: Machine Learning Using Python
Автор: U Dinesh Kumar Manaranjan Pradhan
Издательство: Wiley
Год: 2019
Формат: PDF
Страниц: 366
Размер: 15 Mb
Язык: English

This book is written to provide a strong foundation in Machine Learning using Python libraries by providing real-life case studies and examples. It covers topics such as Foundations of Machine Learning, Introduction to Python, Descriptive Analytics and Predictive Analytics. Advanced Machine Learning concepts such as decision tree learning, random forest, boosting, recommender systems, and text analytics are covered. The book takes a balanced approach between theoretical understanding and practical applications. All the topics include real-world examples and provide step-by-step approach on how to explore, build, evaluate, and optimize machine learning models.

Название: Coding Games With Pygames Zero
Автор: Richard Smith
Издательство: EpubPress
Год: 2020
Формат: EPUB, PDF, DOC
Страниц: 101
Размер: 10 Mb
Язык: English

This book contains all the example programs used in my CoderDojo class to teach Python programming. The primary goal of the class is to teach programming using action games to make learning more interesting. Some of the examples are entirely focused on introducing new language concepts or showing how the Pygame Zero API works, but most are a mixture of both.
The intention is that each program in the example chapters is brief, complete and introduces only one or two new concepts.

Название: Brief C++: Late Objects, Third Edition
Автор: Cay S. Horstmann
Издательство: Wiley
Год: 2020
Формат: True PDF
Страниц: 528
Размер: 10 Mb
Язык: English

Brief C++: Late Objects, 3rd Edition focuses on the essentials of effective learning and is suitable for a two-semester introduction to programming sequence. The interactive eText requires no prior programming experience and only a modest amount of high school algebra. It provides an approachable introduction to fundamental programming techniques and design skills, helping students master basic concepts and become competent coders.

Название: Elements of Numerical Mathematical Economics with Excel: static and dynamic optimization
Автор: Giovanni Romeo
Издательство: Academic Press
Год: 2019
Формат: PDF
Страниц: 818
Размер: 34,2 Mb
Язык: English

Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization shows readers how to apply static and dynamic optimization theory in an easy and practical manner, without requiring the mastery of specific programming languages that are often difficult and expensive to learn. Featuring user-friendly numerical discrete calculations developed within the Excel worksheets, the book includes key examples and economic applications solved step-by-step and then replicated in Excel.

Название: Python For Data Science For Dummies, Second Edition
Автор: John Paul Mueller, Luca Massaron
Издательство: Wiley
Год: 2019
Формат: EPUB
Размер: 11,21 MB
Язык: English

The fast and easy way to learn Python programming and statistics

Python is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library.
Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud.

Название: Data Science and Big Data Analytics
Автор: Editors: Durgesh Kumar Mishra, Xin-She Yang, Aynur Unal
Издательство: Springer
Год: 2019
Формат: PDF
Страниц: 418
Размер: 15.22 MB
Язык: English

This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems.

Автор: Gaurav Vaish
Название: High Performance iOS Apps: Optimize Your Code for Better Apps
Издательство: O'Reilly Media
Год: 2016
ISBN: 9781491911006
Язык: English
Формат: pdf
Размер: 38,3 mb
Страниц: 464

Ready to build mobile apps that out-perform the rest? If you’re an iOS developer with app-building experience, this practical guide provides tips and best practices to help you solve many common performance issues. You’ll learn how to design and optimize iOS apps that deliver a smooth experience even when the network is poor and memory is low.

Название: Линейное программирование в Матлабе. Универсальные линпрогоптимизаторы: производительность и табличный формат результата. Задания и задачи
Автор: Рыкин О.Р.
Издательство: Изд-во Политехнического ун-та
Год: 2016
Страниц: 208
Формат: doc
Размер: 23 mb

В монографии предложены усовершенствованные и развитые программные инструменты (13 объектов) решения непараметрических и однопараметрических задач линпрогоптимизации. Они обеспечивают многократное повышение операторской производительности, создание времянезависимой связи результата и условий оптимизации при решении множества задач, выдачу результата в таблице офисного формата, автоматическое создание базы результатов линпрогоптимизации, возможность простой коррекции условий оптимизации в случае начального неуспеха. Показаны примеры применения каждого инструмента, в том числе для некоторых – решение задач с размерностью оптимизационного вектора в 5000 и 7000 элементов. Приведены правила настройки и указания по применению. Инструменты созданы на основе матлабовской функции linprog(…) с использованием команд Матлаба, описание которых приведено в приложении.