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Python Data Analysis with Pandas

Frank Anemaet

Want to learn data analysis with Python? This book shows you how to use Pandas to read, clean, and explore data from CSV, Excel, and text files. You'll also learn how to create plots, calculate statistics, and work with real datasets.

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About

About the Book

This book is a practical introduction to data analysis using Python and the Pandas library. You will learn how to load and inspect data from CSV, Excel, and plain text files, and how to work with Series and DataFrames. The book covers essential operations like filtering, grouping, summarizing, and sorting data. You will also learn how to visualize data with Matplotlib and apply basic statistics. With step-by-step examples and real-world datasets, this book gives you the tools to start analyzing data with confidence.

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Author

About the Author

Frank Anemaet

Sharing my experience in Software Development here on Leanpub. I have a background in Computer Science and worked with nearly every programming language on the planet. I graduated with highest distinction during my masters program. I've worked on projects ranging from Robotics, Web Apps, Mobile Apps to Embedded Systems.

Contents

Table of Contents

Chapter 1

  1. Introduction to Series
  2. How to use series?
  3. Helper functions
  4. Iterate over series

Chapter 2

  1. Create a DataFrame
  2. Select column(s)
  3. Select row
  4. DataFrame Properties
  5. Transpose DataFrame
  6. Head or Tail
  7. More selection

Chapter 3

  1. Tabular text file
  2. Text file with list of numbers

Chapter 4

  1. CSV files
  2. Read CSV with Pandas
  3. Write DataFrame to CSV

Chapter 5

  1. Read Excel
  2. Write Excel

Chapter 6

  1. Basics stats
  2. Column stats

Chapter 7

  1. Sorting
  2. Sort by column
  3. Sort by index

Chapter 8

  1. Visualize data with matplotlib
  2. Plot types

Chapter 9

  1. Introduction
  2. Real World data: Wage Data
  3. Real World Data: Immigration

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