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Complete Practical Pandas Tutorial (Simplified Version With Demos)
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This is a Complete Simplified Practical Pandas Tutorial for Data Science and Python Programmers using Jupyter Notebook.
The following is covered:
1. Introduction to Pandas with Jupyter Notebook
2. Creating a Dictionary variable
3. Creating a DataFrame from the Scratch
4. Reading Data from a CSV
5. Reading Data from JSON, Excel
6. Viewing Your Data(head and tail methods)
7. Getting Information about your data
8. Data Cleaning - Handling Duplicates
9. Data Cleaning - Managing Missing Values
The following is covered:
1. Introduction to Pandas with Jupyter Notebook
2. Creating a Dictionary variable
3. Creating a DataFrame from the Scratch
4. Reading Data from a CSV
5. Reading Data from JSON, Excel
6. Viewing Your Data(head and tail methods)
7. Getting Information about your data
8. Data Cleaning - Handling Duplicates
9. Data Cleaning - Managing Missing Values