Programming in Python Training Course

Module 1: Pandas Functions for DataFrames

• Introduction to Pandas
  • Core data structures: Series and DataFrame
• DataFrame Operations
  • Reading and writing data (CSV, Excel, etc.)
  • Basic operations (selection, filtering, indexing)
• Data Modification
  • Adding, removing columns and rows
  • Modifying values within a DataFrame
• Data Aggregation and Grouping
  • GroupBy operations
  • Aggregation, summation, averaging, etc.
• Joining and Merging DataFrames
  • merge, join, concat
• Handling Missing Data
  • Identifying missing values
  • Techniques for imputing missing data

Module 2: Program Execution Time Optimization

• Introduction to Optimization
  • The importance of optimization in programming
• Code Optimization
  • Efficient data structures
  • Avoiding redundant calculations
  • Loop optimization
• Pandas Optimization
  • Vectorizing operations
  • Minimizing the use of apply and lambda
  • Working with large datasets
• Code Simplification Through Functions
  • Creating and using functions
  • Code refactoring

Module 3: Working with the NumPy Library

• Introduction to NumPy
  • Importing the library
  • Core data structures: ndarray
• Array Operations
  • Creating and modifying arrays
  • Indexing and slicing arrays
• Mathematical and Statistical Functions
  • Basic mathematical operations
  • Statistical and aggregation functions
• Linear Algebra
  • Matrix multiplication
  • Determinant, inverse matrix
• Multidimensional Data Handling
  • 2D, 3D, and higher-dimensional arrays
  • Reshaping arrays
• Integration with Other Libraries

Module 4: Creating Excel Charts with Python

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