semvec/pypi-packages huggingface dataset:
secrets-bw 0.0.3
A tiny secrets manager
Requires Python: >=3.6

# secrets
A tiny secret manager in python. Adds the secrets file to the `.gitignore`.


## Example
```python
import secrets

# The class takes an optional path for the secrets file
s = secrets.Secrets()

# Write the api key to the secrets file
s['api_key'] = 'abc'

# Print the secret
print(s['api_key'])
```
NetLinks 0.0.1
Easily access and visualize different Data structures
Requires Python: >=3.9.0

# NetLinks

Easily Access and visualize different Data structures including Linked lists, Doubly Linked lists, Trees, Binary trees, Graphs, Stacks, and Queues.

I should also mention that much of the Basic data class structure is take from the
University of Toronto's CSC111 course. I and other collaborators are students at
University of Toronto, and currently taking CSC111.

`documentation`: https://eeshannarula29.github.io/NetLinks/

## Data Structures

- [Binary Search Trees](https://eeshannarula29.github.io/NetLinks/binary_trees)
- [Graphs](https://eeshannarula29.github.io/NetLinks/graphs)  
- [Linked Lists](https://eeshannarula29.github.io/NetLinks/linked_lists)
- [Doubly Linked Lists](https://eeshannarula29.github.io/NetLinks/doubly_linked_lists)
- [Stacks](https://eeshannarula29.github.io/NetLinks/stacks)
- [Queues](https://eeshannarula29.github.io/NetLinks/queues)

## Sorting Algorithms

- [Merge Sort (In Place)](https://eeshannarula29.github.io/NetLinks/sorting)
- [Merge Sort (Non-Mutating)](https://eeshannarula29.github.io/NetLinks/sorting)
- [Quick Sort (In Place)](https://eeshannarula29.github.io/NetLinks/sorting)
- [Quick Sort (Non-Mutating)](https://eeshannarula29.github.io/NetLinks/sorting)
- [Selection Sort](https://eeshannarula29.github.io/NetLinks/sorting)
- [Insertion Sort](https://eeshannarula29.github.io/NetLinks/sorting)


## Searching And Path finding Algorithms

- [Linear Search](https://eeshannarula29.github.io/NetLinks/searching)
- [Binary Search](https://eeshannarula29.github.io/NetLinks/searching)
- [Breadth First Search](https://eeshannarula29.github.io/NetLinks/searching)
- [Depth First Search](https://eeshannarula29.github.io/NetLinks/searching)
- [Dijkstra's Search](https://eeshannarula29.github.io/NetLinks/searching)

## Contribute to NetLinks
We are very glad 😃 that you want to contribute to our project. We welcome you to our communtiy. Please
check our [GuideToContributing](https://github.com/eeshannarula29/NetLinks/blob/main/CONTRIBUTING.md) page for further information on how you can contribute.

## Learn Github
These are some resourses you can use to learn the basics of Github. You can always come to the [Discussion board](https://github.com/eeshannarula29/NetLinks/discussions) to discuss the concepts you lernt or have problems with.
- [Intro to Git and Github by Daniel Shiffman](https://youtube.com/playlist?list=PLRqwX-V7Uu6ZF9C0YMKuns9sLDzK6zoiV)
- [Guide to Contributing](https://akrabat.com/the-beginners-guide-to-contributing-to-a-github-project/)

## Discussion Board
You can clarify all of your queries about github nand collborating on the [Discussion Board](https://github.com/eeshannarula29/NetLinks/discussions)

## References

- [University of Toronto](https://web.cs.toronto.edu/)
- [Stackoverflow](https://stackoverflow.com/)
- [Geeksforgeeks](https://www.geeksforgeeks.org/)