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An introduction to network analysis and applied graph theory using Python and NetworkX
| Date | Stars |
|---|---|
| 2026-07-24 | 1115 |
| 2026-07-25 | 1115 |
| 2026-07-28 | 1115 |
| 2026-07-30 | 1115 |
| 2026-08-06 | 1115 |
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# Network Analysis Made Simple [](https://travis-ci.org/ericmjl/Network-Analysis-Made-Simple) Welcome to the GitHub repository for Network Analysis Made Simple! This is a tutorial designed to teach you the basic and practical aspects of graph theory. It has been presented at multiple conferences (PyCon, SciPy, PyData, and ODSC) in a variety of formats (ranging from 1.5 hr to 4 hour long workshops). The material is designed for a live tutorial presentation, with the code available for you to reference afterwards. ## Quick Start To get started with the notebooks, follow these simple steps: 1. Git clone the repository: ```bash git clone https://github.com/ericmjl/Network-Analysis-Made-Simple cd Network-Analysis-Made-Simple ``` 2. **Install pixi** (the package manager): Follow the installation instructions at [https://pixi.sh/latest/](https://pixi.sh/latest/) 3. **Launch the notebooks**: ```bash pixi run notebook ``` That's it! Pixi automatically creates an isolated environment with all dependencies and launches `marimo edit --no-token notebooks/`. Your browser will open to the notebook directory where you can click on any notebook to run it. For more detailed information, head over to [the official website][nams]! [nams]: https://ericmjl.github.io/Network-Analysis-Made-Simple ## Support the project! If you enjoy the material, please consider doing one of the following: 1. Share it around on Twitter! 2. Purchase a copy of the [LeanPub eBook](https://leanpub.com/nams) 3. Share it with your colleagues. <!-- ## Getting Started ### Binder (Consider this option only if your WiFi is stable) If you don't want the hassle of getting setup, you can use the Binder service to participate in the live tutorial. Just click on the button below: [](https://mybinder.org/v2/gh/ericmjl/Network-Analysis-Made-Simple/master) ### Notebook HTML Versions For tutorial participants who may run into technical issues, full HTML versions of the notebooks are available to follow along during the tutorial. - [NB0: Pre-Tutorial Exercises](http://ericmjl.github.io/Network-Analysis-Made-Simple/0-pre-tutorial-exercises.html) - [NB1: Introduction](http://ericmjl.github.io/Network-Analysis-Made-Simple/1-introduction.html) - [NB2: Network Basics](http://ericmjl.github.io/Network-Analysis-Made-Simple/2-networkx-basics-instructor.html) - [NB3: Hubs and Paths](http://ericmjl.github.io/Network-Analysis-Made-Simple/3-hubs-and-paths-instructor.html) - [NB4: Cliques, Triangles and Structures](http://ericmjl.github.io/Network-Analysis-Made-Simple/4-cliques-triangles-structures-instructor.html) - [NB5: Graph I/O](http://ericmjl.github.io/Network-Analysis-Made-Simple/5-graph-input-output-instructor.html) - [NB6: Bipartite Graphs](http://ericmjl.github.io/Network-Analysis-Made-Simple/6-bipartite-graphs-instructor.html) - [NB7: Case Study on Game Of Thrones](http://ericmjl.github.io/Network-Analysis-Made-Simple/7-game-of-thrones-case-study-instructor.html) - [NB8: Case Study on US Airports](http://ericmjl.github.io/Network-Analysis-Made-Simple/8-US-airports-case-study-instructor.html) - [Bonus Notebook: Network Statistical Inference](http://ericmjl.github.io/Network-Analysis-Made-Simple/bonus-1-network-statistical-inference-instructor.html) - [Bonus Notebook: Graph Matrix Representations](http://ericmjl.github.io/Network-Analysis-Made-Simple/bonus-3-matrices-instructor.html) ### Local Setup For those of you who would like to get setup beforehand and keep a local copy of the repository on your machine, follow along here. #### Easiest way: Anaconda Distribution of Python If you have the Anaconda distribution of **Python 3** installed on a Unix-like machine (Linux, macOS, etc.), then run `make conda`, which wraps the commands below. 1. `$ conda env create -f environment.yml` 1. `$ source activate nams`
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:fc2f448fbb504a22, topic:tutorial, readme:tutorial