March 2017
Beginner to intermediate
330 pages
6h 21m
English
Overview
Python Data Analysis, Second Edition is a comprehensive guide for mastering data analysis techniques using Python 3.5 and its extensive libraries. This book walks you through key processes such as data manipulation, exploration, and visualization, and delves into complex topics like machine learning and social media analysis.
What this Book will help me do
- Understand how to prepare and clean your data for effective data exploration and analysis.
- Master the use of popular Python libraries like NumPy and Pandas for handling and manipulating data.
- Use visualization tools like matplotlib and bokeh to create insightful graphs and plots.
- Gain proficiency in applying machine learning techniques for predictive analysis in Python.
- Learn to store, retrieve, and manage your data in SQL, NoSQL databases, and file systems.
Author(s)
None Idris is an experienced software practitioner and data expert who specializes in applying Python to solve complex analysis problems. With years of professional experience, None draws on practical insights to help readers engage effectively with data science tasks. Their writing makes even advanced data concepts approachable for learners.
Who is it for?
This book is ideal for Python programmers and tech professionals with a basic understanding of data science who aim to advance their data analysis capabilities. If you're a software engineer, researcher, or curious learner wanting to apply Python for effective and modern data analysis, you'll find great value here.
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