Introduction to pandas (Overview)

Rodrigo Girão Serrão
Introduction to pandas Rodrigo Girão Serrão 01:30
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The pandas DataFrame is a structure that contains two-dimensional data and its corresponding labels. DataFrames are widely used in data science, machine learning, scientific computing, and many other data-intensive fields.

DataFrames are similar to SQL tables or the spreadsheets that you work with in Excel or Calc. In many cases, DataFrames are faster, easier to use, and more powerful than tables or spreadsheets because they’re an integral part of the Python and NumPy ecosystems.

In this video course, you’ll learn:

  • What a pandas DataFrame is and how to create one
  • How to access, modify, add, sort, filter, and delete data
  • How to handle missing values
  • How to work with time-series data
  • How to quickly visualize data
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Course Slides (.pdf)

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Sample Code (.zip)

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00:00 Hello there, and welcome to the introduction to pandas video course. My name is Rodrigo, and I’m going to help you get started in the world of Python and pandas and data science.

00:10 Now, one thing you must understand is that pandas is a very big tool. It has a lot of functions and methods to learn about, and therefore, when you finish this video course, you will not be a pandas master.

00:25 However, you will have gone end to end through a complete, let’s call it data science project. You’re going to ask a question, you’re going to get data to help you answer the question, and you’re going to use pandas to answer your question, and you’re going to do every single thing along the way.

00:43 Nothing will be done for you. So you will get the full experience of working on a pandas project, but it’ll be a small pandas project. So just keep that in mind.

00:52 So this is very good if you’ve never seen how pandas works, and you’re just here to get a taste of what it feels like to work at pandas. So more specifically, in this video course, you’re going to learn to collect data from the internet, learn how to read and write data locally, work with pandas DataFrames—you’re going to understand what these DataFrames are—and finally, you’re going to interpret the results of your analysis.

01:19 So that’s what you will do throughout this video course. Now, before you get started, you have to set everything up, and that’s what you’ll do in the next lesson.

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