mirror of
https://github.com/autistic-symposium/master-algorithms-py.git
synced 2025-04-30 04:36:08 -04:00
83 lines
1.7 KiB
Markdown
83 lines
1.7 KiB
Markdown
# Algorithms & Data Structures in Python
|
|
|
|
An introduction to Algorithms & Data Structures in Python, including an ["e-book" I wrote](http://mariwahl.us/docs/algorithms_in_python.pdf).
|
|
|
|
|
|
|
|
|
|
---
|
|
## Source Code:
|
|
|
|
src/
|
|
|
|
└── abstract_structures
|
|
|
|
├── heap
|
|
|
|
├── linked_lists
|
|
|
|
├── queues
|
|
|
|
└── stacks
|
|
|
|
└── builtin_structures
|
|
|
|
├── dicts
|
|
|
|
├── lists_and_strings
|
|
|
|
├── numbers
|
|
|
|
├── sets
|
|
|
|
└── tuples
|
|
|
|
└── trees
|
|
|
|
└── bitwise
|
|
|
|
└── searching_and_sorting
|
|
|
|
└── USEFUL
|
|
|
|
|
|
----
|
|
## Installation:
|
|
|
|
The snippets are designed to be used individually. However, If you want to install all fo the libraries in your [virtualenv](https://coderwall.com/p/8-aeka), do this:
|
|
|
|
```
|
|
$ pip install -r requirements.txt
|
|
```
|
|
|
|
|
|
----
|
|
## Further Learning
|
|
|
|
### My Work:
|
|
|
|
* [Check out my lessons in machine learning.] (https://github.com/mariwahl/Machine-Learning-Lessons)
|
|
|
|
|
|
|
|
* [Check out my lessons in numerical methods.](https://github.com/mariwahl/Numerical-Methods-for-Physics)
|
|
|
|
|
|
* [Neat Problems in Python and Flask](https://github.com/mariwahl/Neat-Problems-in-Python-and-Flask)
|
|
|
|
### Third Party:
|
|
|
|
* [Interactive Python](http://interactivepython.org/)
|
|
|
|
|
|
----
|
|
## License
|
|
|
|
When making a reference to my work, please use my [twitter handle](https://twitter.com/_b_t_3_) or my [website](http://bt3gl.github.io/index.html).
|
|
|
|
<a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-sa/4.0/88x31.png" /></a><br />
|
|
|
|
This work is licensed under a [Creative Commons Attribution-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-sa/4.0/)
|
|
|
|
|