Python Data Analysis (Paperback)

Ivan Idris

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商品描述

Learn how to apply powerful data analysis techniques with popular open source Python modules

About This Book

  • Learn how to find, manipulate, and analyze data using Python
  • 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 analysis projects

Who This Book Is For

This book is for programmers, scientists, and engineers who have knowledge of the Python language and know the basics of data science. It is for those who wish to learn different data analysis methods using Python and its libraries. This book contains all the basic ingredients you need to become an expert data analyst.

In Detail

Python is a multi-paradigm programming language well suited for both object-oriented application development as well as functional design patterns. Python has become the language of choice for data scientists for data analysis, visualization, and machine learning. It will give you velocity and promote high productivity.

This book will teach novices about data analysis with Python in the broadest sense possible, covering everything from data retrieval, cleaning, manipulation, visualization, and storage to complex analysis and modeling. It focuses on a plethora of open source Python modules such as NumPy, SciPy, matplotlib, pandas, IPython, Cython, scikit-learn, and NLTK. In later chapters, the book covers topics such as data visualization, signal processing, and time-series analysis, databases, predictive analytics and machine learning. This book will turn you into an ace data analyst in no time.

商品描述(中文翻譯)

學習如何使用流行的開源Python模組應用強大的數據分析技術

關於本書

- 學習如何使用Python尋找、操作和分析數據
- 使用乾淨高效的Python代碼進行高級、高性能的線性代數和數學計算
- 這本易於跟隨的指南提供了在真實世界數據分析項目中經常使用的實際例子

適合閱讀對象

本書適合具備Python語言知識和基礎數據科學知識的程序員、科學家和工程師。對於希望使用Python及其庫學習不同數據分析方法的人來說,本書包含了成為專業數據分析師所需的基本要素。

詳細內容

Python是一種多範式編程語言,非常適合面向對象的應用開發以及函數式設計模式。Python已成為數據科學家在數據分析、可視化和機器學習方面的首選語言。它將為您提供速度和促進高生產力。

本書將以最廣泛的意義上教授初學者如何使用Python進行數據分析,涵蓋從數據檢索、清理、操作、可視化和存儲到複雜分析和建模的所有內容。它專注於許多開源Python模組,如NumPy、SciPy、matplotlib、pandas、IPython、Cython、scikit-learn和NLTK。在後面的章節中,本書還涵蓋了數據可視化、信號處理和時間序列分析、數據庫、預測分析和機器學習等主題。本書將使您迅速成為一名優秀的數據分析師。