Mastering pandas

Packt Publishing Ltd
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Python is a ground breaking language for its simplicity and succinctness, allowing the user to achieve a great deal with a few lines of code, especially compared to other programming languages. The pandas brings these features of Python into the data analysis realm, by providing expressiveness, simplicity, and powerful capabilities for the task of data analysis. By mastering pandas, users will be able to do complex data analysis in a short period of time, as well as illustrate their findings using the rich visualization capabilities of related tools such as IPython and matplotlib.

This book is an in-depth guide to the use of pandas for data analysis, for either the seasoned data analysis practitioner or the novice user. It provides a basic introduction to the pandas framework, and takes users through the installation of the library and the IPython interactive environment. Thereafter, you will learn basic as well as advanced features, such as MultiIndexing, modifying data structures, and sampling data, which provide powerful capabilities for data analysis.

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About the author

Femi Anthony is a seasoned and knowledgeable software programmer, with over 15 years experience in a vast array of languages, including Perl, C, C++, Java, and Python. He has worked in both the Internet space and financial services space for many years and is now working for a well-known financial data company. He holds a bachelor's degree in mathematics with computer science from MIT and a master's degree from the University of Pennsylvania. His pet interests include data science, machine learning, and Python. Femi is working on a few side projects in these areas. His hobbies include reading, soccer, and road cycling. You can follow him at @dataphanatik, and for any queries, contact him at femibyte@gmail.com.

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Additional Information

Publisher
Packt Publishing Ltd
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Published on
Jun 22, 2015
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Pages
364
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ISBN
9781783981977
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Language
English
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Genres
Computers / Databases / Data Mining
Computers / Mathematical & Statistical Software
Computers / Programming Languages / Python
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Content Protection
This content is DRM free.
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Available on Android devices
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Master the art of writing beautiful and powerful Python by using all of the features that Python 3.5 offersAbout This BookBecome familiar with the most important and advanced parts of the Python code styleLearn the trickier aspects of Python and put it in a structured context for deeper understanding of the languageOffers an expert's-eye overview of how these advanced tasks fit together in Python as a whole along with practical examplesWho This Book Is For

Almost anyone can learn to write working script and create high quality code but they might lack a structured understanding of what it means to be 'Pythonic'. If you are a Python programmer who wants to code efficiently by getting the syntax and usage of a few intricate Python techniques exactly right, this book is for you.

What You Will LearnCreate a virtualenv and start a new projectUnderstand how and when to use the functional programming paradigmGet familiar with the different ways the decorators can be written inUnderstand the power of generators and coroutines without digressing into lambda calculusCreate metaclasses and how it makes working with Python far easierGenerate HTML documentation out of documents and code using SphinxLearn how to track and optimize application performance, both memory and cpuUse the multiprocessing library, not just locally but also across multiple machinesGet a basic understanding of packaging and creating your own libraries/applicationsIn Detail

Python is a dynamic programming language. It is known for its high readability and hence it is often the first language learned by new programmers. Python being multi-paradigm, it can be used to achieve the same thing in different ways and it is compatible across different platforms. Even if you find writing Python code easy, writing code that is efficient, easy to maintain, and reuse is not so straightforward.

This book is an authoritative guide that will help you learn new advanced methods in a clear and contextualised way. It starts off by creating a project-specific environment using venv, introducing you to different Pythonic syntax and common pitfalls before moving on to cover the functional features in Python. It covers how to create different decorators, generators, and metaclasses. It also introduces you to functools.wraps and coroutines and how they work. Later on you will learn to use asyncio module for asynchronous clients and servers. You will also get familiar with different testing systems such as py.test, doctest, and unittest, and debugging tools such as Python debugger and faulthandler. You will learn to optimize application performance so that it works efficiently across multiple machines and Python versions. Finally, it will teach you how to access C functions with a simple Python call. By the end of the book, you will be able to write more advanced scripts and take on bigger challenges.

Style and Approach

This book is a comprehensive guide that covers advanced features of the Python language, and communicate them with an authoritative understanding of the underlying rationale for how, when, and why to use them.

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