PyDataStructs Tech Share at Quansight

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The clickable links in different slides are as follows, Slide 5 - https://pydatastructs.readthedocs.io/en/0.0.1/ Slide 6 - https://colab.research.google.com/drive/1j6L09nXPjiViuBzEQP0FNeFgfbXw1a0P?usp=sharing Slide 7 - https://github.com/codezonediitj/pydatastructs/wiki/Plan-of-Action-for-Adding-New-Data-Structures

Software

Gagandeep Singh, 15th November, 2021
PyDataStructs
Tech Share at Quansight

What is PyDataStructs?
A python package for data structures and algorithms.
• Contains simple sorting algorithms to typical graph algorithms, complicated
data structures like segment trees.

• We want it to be a one stop shop for any data structure and algorithm that
people might want to use.

Why I Started Building PyDataStructs?
Motivation
• Build something from scratch.

• To learn about each and every data structure and algorithm out there.

• What about making a library that can provide APIs so that beginners can
focus on applications of data structures and algorithms instead of worrying
about implementing them from scratch?

• Adding algorithms that might be helpful to people in academia.

What’s different about PyDataStructs?
Salient Features
• Single package for all your data structures and algorithms.
• Consistent and Clean Interface - The APIs we have provided are consistent
with each other, clean and easy to use. We make sure of that before adding
any new data structure or algorithm.

• Well Tested - 99 percent lines of our code have already been tested by us.

What are we upto?
Plans for PyDataStructs
• First release available on PyPI (cz-pydatastructs). A nice documentation
is available at https://pydatastructs.readthedocs.io/en/0.0.1/.

• Provide C++ implementation for all of our APIs - Better performance, more
satis
fi
ed users.

• Add algorithms from di
ff
erent domains - Bioinformatics (DNA alignment),
Networking (approximation algorithms applicable on networks).

How to use it?
Tutorial
Let’s head to Colab for a quick demo. Click here.

Interested in helping us?
Contributing Guide
• Minimal Pre-requisites - A little bit of Python and a little bit of git. Rest you will
learn while contributing.

• We usually follow some steps before adding a new API to the package. The
details are available on our Wiki. Click here.

• I am always up for a meeting to help new people. Just reach out to me on any
social media platform - Slack, Twitter, Meta, Email, Discord etc.

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PyDataStructs Tech Share at Quansight

1. Gagandeep Singh, 15th November, 2021 PyDataStructs Tech Share at Quansight

2. What is PyDataStructs? A python package for data structures and algorithms. • Contains simple sorting algorithms to typical graph algorithms, complicated data structures like segment trees. • We want it to be a one stop shop for any data structure and algorithm that people might want to use.

3. Why I Started Building PyDataStructs? Motivation • Build something from scratch. • To learn about each and every data structure and algorithm out there. • What about making a library that can provide APIs so that beginners can focus on applications of data structures and algorithms instead of worrying about implementing them from scratch? • Adding algorithms that might be helpful to people in academia.

4. What’s different about PyDataStructs? Salient Features • Single package for all your data structures and algorithms. • Consistent and Clean Interface - The APIs we have provided are consistent with each other, clean and easy to use. We make sure of that before adding any new data structure or algorithm. • Well Tested - 99 percent lines of our code have already been tested by us.

5. What are we upto? Plans for PyDataStructs • First release available on PyPI (cz-pydatastructs). A nice documentation is available at https://pydatastructs.readthedocs.io/en/0.0.1/. • Provide C++ implementation for all of our APIs - Better performance, more satis fi ed users. • Add algorithms from di ff erent domains - Bioinformatics (DNA alignment), Networking (approximation algorithms applicable on networks).

6. How to use it? Tutorial Let’s head to Colab for a quick demo. Click here.

7. Interested in helping us? Contributing Guide • Minimal Pre-requisites - A little bit of Python and a little bit of git. Rest you will learn while contributing. • We usually follow some steps before adding a new API to the package. The details are available on our Wiki. Click here. • I am always up for a meeting to help new people. Just reach out to me on any social media platform - Slack, Twitter, Meta, Email, Discord etc.

8. Thank You!!

PyDataStructs Tech Share at Quansight

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