Название: Python Programming: A Step By Step Introduction To Python Programming For Total Beginners
Автор: Jason Eddison
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 187
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

Discover how you can start programming with Python the easy way! Are you interested in learning about the incredible world of Python? Do you want a complete guide to all the Python fundamentals, with step-by-step instructions and explanations so you can follow along with ease? Then it’s time to try this book. Python is an incredible programming language which has quickly surged to become a favorite of developers the world over. Renowned for its ease of use and its versatility, this language is a brilliant way for any aspiring programmer to get started.

Название: Deep Learning With Python: Comprehensive Guide of Tips and Tricks using Deep Learning with Python Theories
Автор: Ethan Williams
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 164
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

This book is designed to help you use Python for deep learning, including how to build and run deep learning models using Keras. This book also includes deep learning techniques, sample code, and technical content. The mathematical foundations of deep learning are subtle: but the average user doesn't need to fully understand the mathematical details to pick up the keyboard and start programming. Practically speaking, deep learning is not complicated, but the results are very objective. Teach you how to use deep learning: this is the purpose of this book.

Название: Python Data Analytics: Comprehensive Guide of Tips and Tricks using Python Data Analytics Theories
Автор: Ethan Williams
Издательство: Amazon.com Services LLC
Год: 2019
Страниц: 111
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

Have you always wondered what it is that you can do with the vast volumes of data that you have collected? Is there some way to make it easier to visualize the data to understand it better? If you answered yes to these questions, you have come to the right place. Data can be collected from different sources and devices, and it is important to understand and analyze that data. The data collected has a lot of information which will need to be uncovered to make better decisions in the future. This book will help you learn more about how you can do this.

Название: Learn Programming: Tutorial programming with C# for beginners
Автор: Thanh X. Tran
Издательство: Amazon.com Services LLC
Год: 2020
Язык: английский
Формат: pdf, azw3
Размер: 22.3 MB

This book introduces you to the core concepts of programming with an introduction to algorithms and the characteristics of programming paradigms. On successful completion of this book, you will be able to design and implement a simple computer program in a chosen language (C#) within a suitable IDE (Visual Studio .NET)

Название: Systems Programming: Engineering Handbook
Автор: P.K. Ghosh
Издательство: Engineering Handbook
Год: 2019
Формат: True PDF
Страниц: 298
Размер: 11.2 Mb
Язык: English

Systems Programming Engineering Handbook

Название: Python Tips and Tricks: Improve Your Python Experience in Writing Better Codes
Автор: Mathias Carlsson
Издательство: Amazon
Год: 2020
Формат: epub/pdf(conv.)
Страниц: 143
Размер: 2.8 Mb
Язык: English

Apply Pythonic tricks to your application and be a Python rockstar
You’ve likely used Python before. But perhaps you’ve wondered if there’s a quick and efficient way to develop a better programming. That’s why we created this Book — so you can learn about our favorite hidden features, techniques, and timesavers in Python. You will find all kinds of handful tips and tricks as well as a lot of useful information to help you write a more efficient code. Uplift and hone your skills from writing codes to writing best performing codes.

Название: Python for Data Science: Comprehensive Guide of Tips and Tricks using Python Data Science
Автор: Ethan Williams
Издательство: Amazon
Год: 2020
Формат: azw3/pdf(conv.)
Страниц: 150
Размер: 4.4 Mb
Язык: English

Python for Data Science is a comprehensive guide about how to perform data science with Python. This book is for students, researchers, and developers who are technically-minded, and have a wide background in writing code as well as using numerical and computational tools. However, many of you may don't wish to learn Python, but instead wish to learn the language in hopes of utilizing it as a means for computational and data-intensive science.

Название: Advanced Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Автор: Jesus Rogel-Salazar
Издательство: Chapman and Hall/CRC
Год: 2020
Формат: True PDF
Страниц: 420
Размер: 13 Mb
Язык: English

Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business as well as academic settings. The subjects discussed in this book are complementary and a follow-up to the topics discussed in Data Science and Analytics with Python. The aim is to cover important advanced areas in data science using tools developed in Python such as SciKit-learn, Pandas, Numpy, Beautiful Soup, NLTK, NetworkX and others. The model development is supported by the use of frameworks such as Keras, TensorFlow and Core ML, as well as Swift for the development of iOS and MacOS applications.

Название: R Visualizations: Derive Meaning from Data
Автор: David Gerbing
Издательство: Chapman and Hall/CRC
Год: 2020
Формат: True PDF
Страниц: 250
Размер: 14.4 Mb
Язык: English

R Visualizations: Derive Meaning from Data focuses on one of the two major topics of data analytics: data visualization, a.k.a., computer graphics. In the book, major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be shown how to use R to generate any of the basic visualizations with the R visualization systems. Further, this book introduces the author’s lessR system, which always can accomplish a visualization with less coding than the use of other systems, sometimes dramatically so, and also provides accompanying statistical analyses.

Название: Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (Chapman & Hall/CRC The R Series)
Автор: Chester Ismay, Albert Y. Kim
Издательство: Chapman and Hall/CRC
Год: 2020
Формат: True PDF
Страниц: 460
Размер: 22.3 Mb
Язык: English

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout.