filmov
tv
Summer Training Program Computer programming in Python Session 3

Показать описание
This session covered several key topics:
Python Dictionary and List: Hamad provided an overview of Python dictionaries and lists, including creating, accessing, modifying, and deleting elements. He also discussed looping through dictionaries and lists, and manipulating list elements.
Pandas Library: Introduction to the pandas library for data analysis, including importing pandas, reading Excel files, describing data, slicing data frames, and adding new columns to data frames.
Data Analysis Techniques: Hamad demonstrated how to filter data based on conditions, find unique values in a column, and create new data frames based on specific criteria.
Practical Exercises: Participants were encouraged to practice exercises on Python dictionary and list operations, and to explore pandas for data analysis tasks.
The session was interactive, with participants asking questions and Hamad providing detailed explanations and examples to illustrate key concepts in Python programming and data analysis with pandas.
Python Dictionary and List: Hamad provided an overview of Python dictionaries and lists, including creating, accessing, modifying, and deleting elements. He also discussed looping through dictionaries and lists, and manipulating list elements.
Pandas Library: Introduction to the pandas library for data analysis, including importing pandas, reading Excel files, describing data, slicing data frames, and adding new columns to data frames.
Data Analysis Techniques: Hamad demonstrated how to filter data based on conditions, find unique values in a column, and create new data frames based on specific criteria.
Practical Exercises: Participants were encouraged to practice exercises on Python dictionary and list operations, and to explore pandas for data analysis tasks.
The session was interactive, with participants asking questions and Hamad providing detailed explanations and examples to illustrate key concepts in Python programming and data analysis with pandas.