SoftArchive

Category: Computer Science & Computer Engineering

Beginning MATLAB and Simulink, 2nd Edition 0

Computer Science & Computer Engineering / Databases & Big Data

Beginning MATLAB and Simulink, 2nd Edition

eBook Details: Paperback: 632 pages Publisher: WOW! eBook; 2nd edition (November 4, 2022) Language: English ISBN-10: 1484287479 ISBN-13: 978-1484287477 eBook Description: Beginning MATLAB and Simulink: From Beginner to Pro, 2nd Edition Employ essential tools and functions of the MATLAB and Simulink packages, which are explained and demonstrated via interactive examples and case studies. This revised edition covers features from the latest MATLAB 2022b release, as well as other features that have been released since the first edition published. This book contains dozens of simulation models and solved problems via m-files/scripts and Simulink models which will help you to learn programming and modelling essentials. You’ll become efficient with...

Beginner’s Guide to Streamlit with Python 0

Computer Science & Computer Engineering / Programming / Software Development / Web Development & Design

Beginner’s Guide to Streamlit with Python

eBook Details: Paperback: 224 pages Publisher: WOW! eBook (December 17, 2022) Language: English ISBN-10: 148428982X ISBN-13: 978-1484289822 eBook Description: Beginner’s Guide to Streamlit with Python: Build Web-Based Data and Machine Learning Applications This book will teach you the basics of Streamlit, a Python-based application framework used to build interactive dashboards and machine learning web apps. Streamlit reduces development time for web-based application prototypes of data and machine learning models. As you’ll see, Streamlit helps develop data-enhanced analytics, build dynamic user experiences, and showcases data for data science and machine learning models. Beginner’s Guide to Streamlit with Python begins with the basics of Streamlit by demonstrating how to...

R 4 Data Science Quick Reference, 2nd Edition 0

Computer Science & Computer Engineering / Databases & Big Data / Programming

R 4 Data Science Quick Reference, 2nd Edition

eBook Details: Paperback: 241 pages Publisher: WOW! eBook; 2nd edition (October 29, 2022) Language: English ISBN-10: 1484287797 ISBN-13: 978-1484287798 eBook Description: R 4 Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages, 2nd Edition In this handy, quick reference book you’ll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more. Implement applicable R 4 programming language specification features Import data with readr Work with categories using forcats, time...

Julia for Data Analysis 0

Computer Science & Computer Engineering / Databases & Big Data / Programming

Julia for Data Analysis

eBook Details: Paperback: 472 pages Publisher: WOW! eBook (January 10, 2023) Language: English ISBN-10: 1633439364 ISBN-13: 978-1633439368 eBook Description: Julia for Data Analysis: Master core data analysis skills using Julia. Interesting hands-on projects guide you through time series data, predictive models, popularity ranking, and more Julia was designed for the unique needs of data scientists: it’s expressive and easy-to-use whilst also delivering super-fast code execution. Julia for Data Analysis shows you how to take full advantage of this amazing language to read, write, transform, analyze, and visualize data – everything you need for an effective data pipeline. It’s written by Bogumił Kamiński, one of the top...

Python Data Science Handbook, 2nd Edition 0

Computer Science & Computer Engineering / Databases & Big Data / Programming

Python Data Science Handbook, 2nd Edition

eBook Details: Paperback: 550 pages Publisher: WOW! eBook; 2nd edition (January 31, 2023) Language: English ISBN-10: 1098121228 ISBN-13: 978-1098121228 eBook Description: Python Data Science Handbook: Essential Tools for Working with Data, 2nd Edition Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new Python Data Science Handbook, 2nd Edition do you get them all – IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools. With this handbook, you’ll learn how: IPython and Jupyter provide computational environments for scientists using Python...