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Key benefits

Explore the tools you need to become a data analyst

Discover practical examples to help you grasp data processing concepts

Walk through hierarchical indexing and grouping for data analysis

Description

Python, a multi-paradigm programming language, has become the language of choice for data scientists for visualization, data analysis, and machine learning. Hands-On Data Analysis with NumPy and Pandas starts by guiding you in setting up the right environment for data analysis with Python, along with helping you install the correct Python distribution. In addition to this, you will work with the Jupyter notebook and set up a database. Once you have covered Jupyter, you will dig deep into Python’s NumPy package, a powerful extension with advanced mathematical functions. You will then move on to creating NumPy arrays and employing different array methods and functions. You will explore Python’s pandas extension which will help you get to grips with data mining and learn to subset your data. Last but not the least you will grasp how to manage your datasets by sorting and ranking them. By the end of this book, you will have learned to index and group your data for sophisticated data analysis and manipulation.

What you will learn

Understand how to install and manage Anaconda

Read, sort, and map data using NumPy and pandas

Find out how to create and slice data arrays using NumPy

Discover how to subset your DataFrames using pandas

Handle missing data in a pandas DataFrame

Explore hierarchical indexing and plotting with pandas

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Frequently bought together

Mastering Numerical Computing with NumPy

€29.99

Hands-On Data Analysis with NumPy and pandas

€24.99

€29.99

Total € 84.97

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Amazon verified reviews

Akshay Jan 02, 2024

Excellent book that gets down to the basics!

Subscriber review

S. Sankara Subramanian Sep 10, 2018

no specific comments

Amazon Verified review

Amazon Customer Aug 27, 2018

Would recommend this book to those with a background in data analysis and are untrained in using Python.Pros - This book delivers exactly what is written in the title, no more, no less. The writing style is introductory and there are plenty of examples. The book addresses how to clean data using Python which is mandatory when performing data analysis. Examples discussed in this book could be used to supplement references which are less practical.Cons - The editing uses incorrect fonts on words that refer to technical terms. For example, some Python functions in this book are type-font, but the editor frequently omits this formatting. Many screenshots include cursors. Some sections, such as the linear algebra section, explain how to implement code but do not explain the context or give references.

BBCReview Sep 30, 2021

The books has good content on Numpy and Pandas, but you can't read the code snippets without a magnifying glass, or worse yet, zooming each one. Not the fault of the author, but it's darn hard to follow when it take 10 seconds to read each each snippet.

Philip H Sep 15, 2018

The explanations are reasonable although the book could have been written much more concisely. The examples are written in tiny fonts

Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing

What do you get with eBook?