07 Writing CSV, Excel, and JSON Files in Python
Learn how to create and write data to CSV, Excel, and JSON files using Python. This tutorial covers the essentials for handling these common formats, which are widely used for data storage, sharing, and integration with other tools. No prior experience is required, making it accessible for beginners and anyone looking to improve their data handling skills in Python.
Follow step-by-step instructions to write, save, and manage files, including error handling and best practices. You will also explore advanced tasks like working with multiple Excel sheets and exporting custom data sets. By the end, you will be able to organize and exchange data efficiently for projects, reports, and web applications.
00:00 Introduction and overview
00:23 Why use CSV, Excel, and JSON
00:57 Understanding CSV files
01:27 Importing modules for CSV
01:44 Creating sample data for CSV
02:22 Writing data to CSV files
02:56 Error handling when writing CSV
03:32 Writing Excel files with Python
03:51 Setting up for Excel file writing
04:12 Creating and saving Excel files
04:50 Error handling for Excel writing
05:29 Writing JSON files with Python
05:53 Preparing data for JSON format
06:40 Saving data as JSON files
07:05 Error handling for JSON writing
07:29 Collecting user input and saving as CSV
08:15 Cleaning up files and deleting data
09:03 Writing multiple worksheets in Excel
09:46 Mini project: Exporting movies data
11:02 Best practices and troubleshooting
11:27 Mini challenge: Save your favorite foods
11:51 Recap and next steps
12:17 Thank you and closing
#Python #DataScience #FileHandling
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