Python

Pandas

• Let’s Start with Pandas Library: Introduction and Installation
• Pandas DataFrame
• Pandas Series
• Pandas Basic Operations
• Data Manipulation using Pandas
• Iterating over rows and columns in Pandas DataFrame
• apply() in Pandas
• Pandas map() and reduce() Operations
• Handling Missing Values in Pandas
• Grouping Data in Pandas
• Merging and Joining in Pandas
• Concatenating data in Pandas
• Working with crosstab, pivot_tables, and melt functions in Pandas
• Working with Pandas Date and Time
• Working with Strings in Pandas

Data Visualization

• Data Visualization using Pandas
• Data Visualization using Matplotlib
• Data Visualization using Seaborn

Optimization Techniques (Operation Research)

• Solving Linear Programming using Python PuLP
• Solving Staff Scheduling Problem using Linear Programming
• Solving Cargo Loading Problem using Integer Programming in Python
• Solving Transportation Problem using Linear Programming in Python
• Solving Blending Problem in Python using Gurobi
• Solving Assignment Problem using Linear Programming in Python
• Transshipment Problem in Python Using PuLP
• Solving Balanced Diet Problem in Python using PuLP
• Solving Multi-Period Production Scheduling Problem in Python using PuLP
• Sensitivity Analysis in Python