This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data. By the end of the course, you will be comfortable working with tabular data in Python. This will extend your Python programming expertise, enabling you to write a wider range of scripts using Python. This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course uses basic desktop Python development environments, allowing you to run Python programs directly on your computer.
Iteration over Dictionaries
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Skills You'll Learn
Data Analysis, Computer Programming, Programming Principles, Data Structures, Python Programming
Reviews
4.7 (888 ratings)
- 5 stars76.12%
- 4 stars16.66%
- 3 stars5.06%
- 2 stars1.35%
- 1 star0.78%
JX
Jul 12, 2021
Extremely clear explanations, and good practice exercises for evaluation. Builds well upon previous courses in the specialization. Excellent course.
SA
Aug 7, 2020
One of the best courses on data analysis in python. It was a deep dive into the basics. More than the course videos, i enjoyed the assignments more.
From the lesson
Tabular Data and Nested Data Structures
This module will teach you about storing tabular data within Python programs using lists and dictionaries.
Taught By
Scott Rixner
Professor
Joe Warren
Professor