Programming in Python Training Course

Module 1: Pandas Functions in Data Frame Work

• Introduction to Pandas
  • Basic data structures: Series and DataFrame
• Operations on DataFrames
  • Loading and saving data (CSV, Excel, etc.)
  • Basic operations (selection, filtering, indexing)
• Modifying data
  • Adding and removing columns and rows
  • Modifying values in a DataFrame
• Data aggregation and grouping
  • GroupBy
  • Aggregation, sum, mean, etc.
• Combining and merging DataFrames
  • merge, join, concat
• Working with missing data
  • Identifying missing data
  • Methods for filling missing data

Module 2: Optimizing Program Execution Time

• Introduction to Optimization
  • The importance of optimization in programming
• Code Optimization
  • Efficient data structures
  • Avoiding redundant calculations
  • Optimizing loops
• Pandas Optimization
  • Vectorizing operations
  • Avoiding apply and lambda functions
  • Working with large datasets
• Simplifying code through function creation
  • Creating and using functions
  • Code refactoring

Module 3: Working with the NumPy Library

• Introduction to NumPy
  • Importing the library
  • Basic data structure: ndarray
• Array Operations
  • Creating and modifying arrays
  • Array indexing and slicing
• Mathematical and Statistical Functions
  • Basic mathematical operations
  • Statistical and aggregation functions
• Linear Algebra
  • Matrix multiplication
  • Determinant, inverse matrix
• Working with Multi-dimensional Data
  • 2D, 3D, and higher-dimensional arrays
  • Array shape transformations
• Integration with Other Libraries

Module 4: Creating Charts in Excel Using Python

• Introduction to openpyxl and xlsxwriter
• Creating Charts in Excel
  • Creating simple charts (line, bar, etc.)
  • Chart formatting
• Generating Charts as Images (PNG)
  • Using matplotlib to generate charts
  • Saving charts as PNG files
• Advanced Charts in Excel
• Report Automation
  • Creating automated reports with charts
  • Integrating Pandas with openpyxl/xlsxwriter