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Python
Pandas
Let’s Start with Pandas Library: Introduction and Installation
Pandas DataFrame
Pandas Series
Pandas Basic Operations
D
ata 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 Seabor
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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