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 and removing columns and rows
  • Modifying values within a DataFrame
• Aggregation and Grouping Data
  • GroupBy
  • Aggregation, summing, averaging, etc.
• Merging and Combining DataFrames
  • merge, join, concat
• Handling Missing Data
  • Identifying missing data
  • Methods for imputing 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
  • Loop optimization
• Pandas Optimization
  • Vectorization of operations
  • Avoiding apply and lambda functions
  • Working with large datasets
• Simplifying Code Through Functions
  • Creating and using functions
  • Code refactoring

Module 3: Working with the NumPy Library

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

Module 4: Creating Charts in Excel Using Python

• Introduction to openpyxl and xlsxwriter
• Creating Charts in Excel
  • Creating basic charts (line, bar, etc.)
  • Formatting charts
• Generating Charts as Images (PNG)
  • Using matplotlib to generate charts
  • Saving charts as PNG files
• Advanced Charts in Excel
• Automating Reports
  • Creating automated reports with charts
  • Integrating Pandas with openpyxl/xlsxwriter