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Python Data Science Handbook: Essential Tools for Working with Data
Python Data Science Handbook: Essential Tools for Working with Data

For many researchers, Python is a first-class tool mainly 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 Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib,...

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...
Practical SQL: A Beginner's Guide to Storytelling with Data
Practical SQL: A Beginner's Guide to Storytelling with Data

Practical SQL is an approachable and fast-paced guide to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases. The book focuses on using SQL to find the story your data tells, with the popular open-source database PostgreSQL and the pgAdmin interface as...

Git in Practice
Git in Practice

Summary

Git in Practice is a collection of 66 tested techniques that will optimize the way you and your team manage your development projects. The book begins with a brief reminder of the core version control concepts you need when using Git and moves on to the high-value features you may not have explored...

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas,...

Angular Test-Driven Development - Second Edition
Angular Test-Driven Development - Second Edition

Enhance your testing skills to build powerful and fault-free applications in Angular v4

About This Book

  • Learn test-driven development (TDD) for JavaScript
  • Improve your Karma and Protractor expertise by setting up an Angular test suite
  • A wide range of testing techniques for...
Simplifying JavaScript: Writing Modern JavaScript with ES5, ES6, and Beyond
Simplifying JavaScript: Writing Modern JavaScript with ES5, ES6, and Beyond

The best modern JavaScript is simple, readable, and predictable. Learn to write modern JavaScript not by memorizing a list of new syntax, but with practical examples of how syntax changes can make code more expressive. Starting from variable declarations that communicate intention clearly, see how modern principles can improve all...

Python Data Analysis Cookbook
Python Data Analysis Cookbook

Key Features

  • Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types
  • Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning
  • Authored by Ivan Idris, expert in python programming and proud...
NumPy Cookbook
NumPy Cookbook
We, NumPy users, live in exciting times. New NumPy-related developments seem to come to our attention every week or maybe even daily. When this book was being written, NumPy Foundation of Open Code for Usable Science was created. The Numba project—NumPy-aware, dynamic Python compiler using LLVM—was announced. Also,...
Testing Python: Applying Unit Testing, TDD, BDD and Acceptance Testing
Testing Python: Applying Unit Testing, TDD, BDD and Acceptance Testing

Fundamental testing methodologies applied to the popular Pythonlanguage

Testing Python; Applying Unit Testing, TDD, BDD andAcceptance Testing is the most comprehensive book available ontesting for one of the top software programming languages in theworld. Python is a natural choice for new and experienceddevelopers,...

Building Web Applications with Visual Studio 2017: Using .NET Core and Modern JavaScript Frameworks
Building Web Applications with Visual Studio 2017: Using .NET Core and Modern JavaScript Frameworks

Learn how to build web applications from three Microsoft MVPs. After building the data application layer using Entity Framework Core and a RESTful service using ASP.NET Core, you will then build the client side web application three ways: first, using ASP.NET Core, then using Angular 2, and, finally, using React.  You will be...

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