Import & Export Data Like a Pro: CSV, Excel, JSON & More
*Series: Pandas Tutorial - From Zero to Hero*
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Unlock the power of data I/O! This practical notebook teaches you how to read data from and write data to multiple file formats.
What You'll Learn:
Reading and writing CSV files
Working with Excel files (read_excel, to_excel)
Handling JSON files for web data
Apache Parquet format for efficient large datasets
Pickle files for preserving Python objects
HTML table extraction from web pages
Key Topics Covered:
Custom delimiters (tab-separated files)
Handling missing values during reading
Selecting specific columns with usecols
Skipping rows and limiting data
Writing with and without index
Appending to existing files
Real-World Applications:
Load customer data from CSV for analysis
Export financial reports to Excel
Read API responses in JSON format
Store machine learning models efficiently
Why This Matters:
80% of data analysis is preparing data. Knowing how to efficiently import and export data in various formats is a fundamental skill that every data professional needs.
*Essential skills for any data workflow!*