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Solving the Traveling Salesperson Problem in Python

Gain insights into solving the Traveling Salesperson Problem using Python. Learn about geospatial data manipulation, clustering, network graphs, and Docker to optimize route planning and data visualization.

Intermediate

45 Lessons

Certificate of Completion

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This course includes

151 Playgrounds

11 Challenges

Course Overview

What You'll Learn

Course Content

Recommendations

Course Overview

Solving complex computational problems is a resource-demanding task. The traveling salesperson problem (TSP) is one such problem, which is an NP-hard problem. In the era of data science, data-centric approaches have evolved to be a good choice to approximate the solutions. In this course, you’ll dive into the fascinating realm of geospatial data manipulation, distance calculation, clustering, network graphs, and Docker containerization, all tied together to optimize the challenging TSP. You’ll first grasp...Show More

What You'll Learn

An understanding of geospatial data manipulation, plotting, and their application to optimizing routes

Working knowledge of distance calculation techniques, their role in solving the traveling salesperson problem (TSP), and alternate methods to solve TSP

Hands-on experience clustering sales data and finding patterns

Ability to create interactive dashboards showcasing optimal routes and data mining insights

An understanding of geospatial data manipulation, plotting, and their application to optimizing routes

Course Content

What the Traveling Salesperson Problem Is About

5 Lessons

Get familiar with the TSP, its challenges, practical applications, and geospatial data intricacies.

Getting Started

Introduction to the Traveling Salesperson Problem

Background on the Traveling Salesperson Problem

Understand Geospatial Data

Quiz about the Traveling Salesperson Problem

Preprocessing of Traveling Salesperson Data

6 Lessons

Unpack the core of data preprocessing, analysis, manipulation, and visualization for the Traveling Salesperson Problem.

Import Data

Inspect Data: Data Analysis

Inspect Data: Plotting

Test Your Data Inspection Knowledge

Manipulate Data

Test Your Data Manipulation Knowledge

Solving the Traveling Salesperson Problem

12 Lessons

Master the steps to comprehensively calculate and optimize routes for the Traveling Salesperson Problem using various distance metrics and algorithms.

Line Distance Measurement

Test Your Distance Knowledge

Measurement of Road Distance

Traversing Data

Exploring openpyxl

Road Distance: Google Maps

Shortest Overall Distance

Brute Force

Genetic Algorithm

Traveling Salesperson Problem: Package

Operations Research Tools

User Form: Select Start Point

Traveling Salesperson Data Mining

8 Lessons

Grasp the fundamentals of network graphs, data clustering, KPI enhancement, data enrichment, and interactive storytelling techniques.

Network Graph

Test Your Network Graph Knowledge

Data Clustering

Key Performance Indicator

Data Enrichment

Unlocking Hidden Patterns

Enhancing Interactivity

Storytelling

Building the Traveling Salesperson Dashboard

2 Lessons

Solve problems in building interactive dashboards for visualizing TSP using Python’s Dash library.

Dashboard: Shortest Route

Dashboard: Shortest Route and Data Mining

Scalability

2 Lessons

Tackle large-scale TSP using heuristic methods and cloud platforms for enhanced efficiency.

Handling Large-Scale Traveling Salesperson Problems

Cloud-Powered TSP

Conclusion

1 Lessons

Practice using skills in geospatial data, visualization, clustering, and application deployment.

Course Summary

Appendix

9 Lessons

Learn how to use Python tools and platforms for TSP development and deployment.

Python and Development Environment

Data Import: Different Data File Types

Python Data Structures

Error Handling

PyInstaller: Bundle Python Applications

Dockerizing the Application

Dashboard Cloud Deployment

OpenStreetMap (OSM): An Alternative to Commercial Maps

Useful Tools

Course Author

Jesko Rehberg

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