Bücher von Fabio Nelli

This book will teach you everything about the powerful techniques and applications of parallel computing, from the basics of parallel programming to the cutting-edge innovations shaping the future of computing. The book starts with an introduction to parallel programming and the different types of parallelism, including parallel programming with threads and processes. The book then delves into asynchronous programming, distributed Python, and GPU programming with Python, providing you with the tools you need to optimize your programs for distributed and high-performance computing. The book also covers a wide range of applications for parallel computing, including data science, artificial intelligence, and other complex scientific simulations. You will learn about the challenges and opportunities presented by parallel computing for these applications and how to overcome them. By the end of the book, you will have insights into the future of parallel computing, the latest research and developments in the field, and explore the exciting possibilities that lie ahead.TABLE OF CONTENTS 1. Introduction to Parallel Programming 2. Building Multithreaded Programs 3. Working with Multiprocessing and mpi4py Library4. Asynchronous Programming with AsyncIO5. Realizing Parallelism with Distributed Systems 6. Maximizing Performance with GPU Programming using CUDA7. Embracing the Parallel Computing Revolution8. Scaling Your Data Science Applications with Dask9. Exploring the Potential of AI with Parallel Computing10. Hands-on Applications of Parallel Computing

Make data analysis fast, reliable, and clean with Python, Pandas and Matplotlib. KEY FEATURES ¿ A detailed walk-through of the Pandas library's features with multiple examples.¿ Numerous graphical representations and reporting capabilities using popular Matplotlib.¿ A high-level overview of extracting data from including files, databases, and the web. DESCRIPTIONNo matter how large or small your dataset is, the author 'Fabio Nelli' simply used this book to teach all the finest technical coaching on applying Pandas to conduct data analysis with zero worries. Both newcomers and seasoned professionals will benefit from this book. It teaches you how to use the pandas library in just one week. WHAT YOU WILL LEARN¿Extract, cleanse, and process data from databases, text files, HTML pages, and JSON data.¿Work with DataFrames and Series, and apply functions to scale data manipulations.¿Graph your findings using charts typically used in modern business analytics.¿Learn to use all of the pandas basic and advanced features independently.WHO THIS BOOK IS FORIf you're looking to expedite a data science or sophisticated data analysis project, you've come to the perfect place. Each data analysis topic is covered step-by-step with real-world examples. Python knowledge isn't required however, knowing a little bit helps.

Create Web Charts with D3 shows how to convert your data into eye-catching, innovative, animated, and highly interactive browser-based charts. This book is suitable for developers of all experience levels and needs: if you want power and control and need to create data visualization beyond traditional charts, then D3 is the JavaScript library for you.By the end of the book, you will have a good knowledge of all the elements needed to manage data from every possible source, from high-end scientific instruments to Arduino boards, from PHP SQL databases queries to simple HTML tables, and from Matlab calculations to reports in Excel. This book contains content previously published in Beginning JavaScript Charts.Create all kinds of charts using the latest technologies available on browsersFull of step-by-step examples, Create Web Charts with D3 introduces you gradually to all aspects of chart development, from the data source to the choice of which solution to apply.This book provides a number of tools that can be the starting point for any project requiring graphical representations of data, whether using commercial libraries or your own

Create Web Charts with jqPlotshows how to convert your data into eye-catching, innovative, animated, and highly interactive browser-based charts. This book is suitable for developers of all experience levels and needs: for those who love fast and effective solutions, you can use the jqPlot library to generate charts with amazing effects and animations using only a few lines of code.By the end of the book, you will have a good knowledge of all the elements needed to manage data from every possible source, from high-end scientific instruments to Arduino boards, from simple HTML tables to structured JSON files, and from Matlab calculations to reports in Excel. You will be able to provide cutting-edge charts exploiting the growing power of modern browsers.This book contains content previously published in Beginning JavaScript Charts.Create all kinds of charts using the latest technologies available on browsersFull of step-by-step examples, Create Web Charts with jqPlot introduces you gradually to all aspects of chart development, from the data source to the choice of which solution to apply.This book provides a number of tools that can be the starting point for any project requiring graphical representations of data, whether using commercial libraries or your own