Skip to content
Network and Graph Algorithms From Scratch
Jupyter Notebook Python
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
data updated notebooks Nov 17, 2019
slides updated notebooks Nov 17, 2019
.gitignore updated gitignore Sep 16, 2019
1. Graph Representations.ipynb updated slides Nov 18, 2019
2. Graph Properties.ipynb updated slides Nov 18, 2019
3. Graph Algorithms.ipynb updated slides Nov 18, 2019
4. Advanced Graph Algorithms.ipynb updated slides Nov 18, 2019
5. Recommender Systems.ipynb updated slides Nov 18, 2019
Graph.py updated slides Nov 18, 2019
LICENSE Initial commit Jun 15, 2019
README.md
d4sci.mplstyle updated notebooks Nov 17, 2019

README.md

Network and Graph Algorithms From Scratch

Code and slides to accompany the online series of webinars: https://data4sci.com/networks by Data For Science.

Trees, Graphs and Networks are fundamental data structures that underlie much of the recent developments in data science and computer science algorithms. Technologies and Applications like Social Networks, Cloud and Distributed computing, Cryptocurrencies and Traffic Routing and directions all rely on the proper use of graph concepts.

In this course we will build, step by step, a mini toolkit of network representations and algorithms that will allow students to understand the fundamental ideas and concepts that lie at the base of state of art algorithms (such as PageRank and recommendation systems), technologies (such as graph databases) and tools (like web crawlers).

Slides: http://data4sci.com/landing/networks/

You can’t perform that action at this time.