Python Data Analysis with Pandas
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Python Data Analysis with Pandas

About the Book

Python is ideal for Data Analysis. If you want to learn about analyzing data with Python, whether it is csv or Excel, this book is for you. It covers all the things you need to know to do analysis, plotting, statistics and a lot more. It explains the data structures and how to work with them. 

About the Author

Frank Anemaet
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.

Table of Contents

  • Chapter 1
    • Introduction to Series
    • How to use series?
    • Helper functions
    • Iterate over series
  • Chapter 2
    • Create a DataFrame
    • Select column(s)
    • Select row
    • DataFrame Properties
    • Transpose DataFrame
    • Head or Tail
    • More selection
  • Chapter 3
    • Tabular text file
    • Text file with list of numbers
  • Chapter 4
    • CSV files
    • Read CSV with Pandas
    • Write DataFrame to CSV
  • Chapter 5
    • Read Excel
    • Write Excel
  • Chapter 6
    • Basics stats
    • Column stats
  • Chapter 7
    • Sorting
    • Sort by column
    • Sort by index
  • Chapter 8
    • Visualize data with matplotlib
    • Plot types
  • Chapter 9
    • Introduction
    • Real World data: Wage Data
    • Real World Data: Immigration

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