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Scientific Computing with Python 3
Scientific Computing with Python 3

Key Features

  • Your ultimate resource for getting up and running with Python numerical computations
  • Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules
  • A hands-on guide to implementing mathematics with Python, with complete...
Big Data Visualization
Big Data Visualization
Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization About This Book This unique guide teaches you how to visualize your cluttered, huge amounts of big data with ease It is rich with ample options and solid use cases for big data visualization, and is a must-have book...
Java for Data Science
Java for Data Science
Examine the techniques and Java tools supporting the growing field of data science About This Book Your entry ticket to the world of data science with the stability and power of Java Explore, analyse, and visualize your data effectively using easy-to-follow examples Make your Java applications more capable using machine learning Who This Book Is...
Mastering IPython 4.0
Mastering IPython 4.0

Key Features

  • Most updated book on Interactive computing with IPython 4.0;
  • Detailed, example-rich guide that lets you use the most advanced level interactive programming with IPython;
  • Get flexible interactive programming with IPython using this comprehensive guide
...
Java Data Science Cookbook
Java Data Science Cookbook

Key Features

  • This book provides modern recipes in small steps to help an apprentice cook become a master chef in data science
  • Use these recipes to obtain, clean, analyze, and learn from your data
  • Learn how to get your data science applications to production and enterprise...
Python Data Analysis
Python Data Analysis

Key Features

  • Find, manipulate, and analyze your data using the Python 3.5 libraries
  • Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
  • An easy-to-follow guide with realistic examples that are frequently used in real-world data...
Python: Data Analytics and Visualization
Python: Data Analytics and Visualization

Understand, evaluate, and visualize data About This Book - Learn basic steps of data analysis and how to use Python and its packages - A step-by-step guide to predictive modeling including tips, tricks, and best practices - Effectively visualize a broad set of analyzed data and generate effective results Who This Book Is For This book is for...

Excel 2016 VBA and Macros (includes Content Update Program) (MrExcel Library)
Excel 2016 VBA and Macros (includes Content Update Program) (MrExcel Library)

MASTER CORE EXCEL 2016 TOOLS FOR BUILDING POWERFUL, RELIABLE SPREADSHEETS!

 

Use this guide to automate virtually any routine task: save yourself hours, days, maybe even weeks! Make Excel do things you thought were impossible, discover macro...

Graphing Data with R: An Introduction
Graphing Data with R: An Introduction

It’s much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You’ll learn methods...

Spark for Python Developers
Spark for Python Developers

Key Features

  • Set up real-time streaming and batch data intensive infrastructure using Spark and Python
  • Deliver insightful visualizations in a web app using Spark (PySpark)
  • Inject live data using Spark Streaming with real-time events

Book Description

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Manage Your Project Portfolio: Increase Your Capacity and Finish More Projects
Manage Your Project Portfolio: Increase Your Capacity and Finish More Projects

You have too many projects, and firefighting and multitasking are keeping you from finishing any of them. You need to manage your project portfolio. This fully updated and expanded bestseller arms you with agile and lean ways to collect all your work and decide which projects you should do first, second, and never. See how to tie your work to...

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist
Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.

Beginning Data Science in R...
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