Loading data from CSV files includes a number of different formats. There are also a large number of different use cases for the data once it is loaded – there is not a one-size-fits-all solution to loading data. In this course, Reading and Writing CSV Files in Python, you’ll gain the ability to load CSV data using a number of different Python tools. First, you’ll explore Python’s built-in CSV module. Next, you’ll discover how to load data from external URLs. Finally, you’ll learn how to use NumPy and Pandas to import CSV files. When you’re finished with this course, you’ll have the skills and knowledge of reading Python CSVs needed to build data intensive applications.
Author Name: Chase DeHan
Author Description:
Chase is currently Lead Data Scientist at Tesorio and formerly was an Assistant Professor of Finance and Economics at the University of South Carolina Upstate. He holds a BS, MS, and PhD, all in Economics, from the University of Utah. Prior to graduate school, Chase served two combat tours to Iraq with the US Marine Corps and competed in the 2010 Winter Olympic Trials in Bobsled. Chase is passionate about building automated machine learning systems and is a regular speaker at academic and pra… more

Table of Contents

• Course Overview
  1min
• Opening and Modifying Files
  11mins
• Read CSVs with Python’s CSV Package
  17mins
• Importing with Pandas and NumPy
  16mins