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
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
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 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 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
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,...
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
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,...
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