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The Python Library Reference

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The Python Library Reference

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Python Pocket Reference

Updated for both Python 3.4 and 2.7, this convenient pocket guide is the perfect on-the-job quick reference. You'll find concise, need-to;

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Python In A Nutshell

needed information--not just about the Python language itself, but also the most frequently used parts of the standard library and the most;

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Python Standard Library By Example

examples. - Jesse Noller, Python Core Developer and PSF Board Member Master the Powerful Python Standard Library through Real Code Examples The;

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The Python Language Reference Manual

This manual is the definitive language reference for Python. It describes the syntax of Python and its built-in datatypes. Python is an;

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Python Pocket Reference

This fourth edition of Python Pocket Reference has been thoroughly revised to cover the latest language release, Python 3.x, along with;

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Python 2.1 Bible

The Python 2.1 Bible provides the only complete Python language reference on the market and includes all the information and software that;

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A Python Data Analyst s Toolkit

Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write;

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Python Data Analytics

Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific;

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Programming in Python 3

, Second Edition, brings together all the knowledge you need to write any program, use any standard or third-party Python 3 library, and create new;

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A Python Data Analyst's Toolkit

structure, analyze, and visualize data Tackle real-life case studies using Python Review essential statistical concepts and use the Scipy library to;

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Eye-Tracking with Python and Pylink

, especially for psychology researchers with little or no computer programming experience. This book offers detailed coverage of the Pylink library;

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Modern Python Standard Library Cookbook

Build optimized applications in Python by smartly implementing the standard library Key Features Strategic recipes for effective;

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Python Projects

A guide to completing Python projects for those ready to take their skills to the next level Python Projects is the ultimate resource for;

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The Python Language Reference

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Python

Master Python--the versatile cross-platform development language. This complete reference contains distinct sections, each concentrating on;

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Python for Data Mining Quick Syntax Reference

be introduced to several data mining packages, with examples of how to use each of them. The first part covers core Python including;

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MySQL for Python

, then this book is for you. This book is a must-read for every focused user of the MySQL for Python library who wants real-world applications;

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Python Testing with Selenium

Implement different testing techniques using Selenium WebDriver with the Python programming language. This quick reference provides simple;

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Python Testing with Selenium

Implement different testing techniques using Selenium WebDriver with the Python programming language. This quick reference provides simple;

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Python for Data Science For Dummies

building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

Machine Learning a branch of Artificial Intelligence is influencing the society, industry and academia at large. The adaptability of Python;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

Machine Learning a branch of Artificial Intelligence is influencing the society, industry and academia at large. The adaptability of Python;

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Data Visualization Python Javascript

Learn how to turn raw data into rich, interactive web visualizations with the powerful combination of Python and JavaScript. With this;

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Making Games with Python & Pygame

Making Games with Python & Pygame is a programming book that covers the Pygame game library for the Python programming language. Each;

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Raspberry Pi Image Processing Programming

Segmentation, followed by a chapter on live webcam input with OpenCV, an image processing library with Python. The book concludes with an appendix;

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