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PyCon India 2023 Devsprints
During Devsprints, mentors/contributors of OSS projects guide participants through the end-to-end process of OSS contribution, right from setting up build environments, to developing and testing code, to submitting patches for bugs. If you are stuck, mentors are all available to help you figure out issues and get you back up and running! From past experiences, we’ve seen a lot of people start off contributing to OSS through Devsprints and later go on to become regular contributors to various projects across the web.
LPython is a Python compiler that can compile type-annotated Python code to optimized machine code. LPython offers several backends such as LLVM, C, C++, WASM, Julia and x86. LPython features quick compilation and runtime performance. LPython also offers Just-In-Time (JIT) compilation and seamless interoperability with CPython.
The following tools would be needed for local development of LPython:
- conda
- gcc/g++/clang
- git
- Ideally a Linux/Mac Machine
You will be expected to have some understanding of the following:
- Python
- Git & GitHub workflow
Project Repository: https://github.com/lcompilers/lpython
Mentor: Ubaid Shaikh
Source: Link
This sprint is designed to bring together passionate developers interested in contributing to our Python-based computer vision package.
The primary goal for this dev sprint is to enhance and expand the functionality of computer vision package that implements hand tracking module. Aim is to:
- Improve existing algorithms and optimize performance.
- Add new features and tools to make computer vision tasks more accessible.
- Fix bugs and enhance the package's stability.
- Enhance documentation to facilitate easier usage and contribution.
Project Repository: https://github.com/laksh-2193/lkcomputervision
Mentor: Lakshay Kumar
Source: Link
Get up and running with contributing to a world-class web development Framework: Frappe Framework
Basic knowledge of web development with an MVC framework. Frappe Framework is written in Python & JavaScript.
Project Repository: https://github.com/frappe/frappe
Mentor: Core Frappe Team
Source: Link
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
You will be expected to have some understanding of the following:
- Python
- Git & GitHub workflow
Project Repository: https://github.com/networkx/networkx
Mentor: Navya Agarwal
Source: Link
SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python.
SymPy is a free and open-source Python library, distributed under the BSD license. What sets SymPy apart is its Python-centric design, ensuring compatibility and accessibility for Python developers. It boasts a lightweight footprint, relying exclusively on the pure Python mpmath library for arbitrary floating-point arithmetic. Beyond its standalone capabilities as an interactive tool, SymPy can be seamlessly integrated into various applications and extended with custom functions, enhancing its utility for developers across different domains.
Before diving into contributing to SymPy, let's ensure you have the necessary prerequisites in place.
- Proficiency in Python programming.
- Basic understanding of mathematical concepts.
- Familiarity with SymPy's codebase (Optional, but beneficial).
- A development environment set up for SymPy (Refer to SymPy's official documentation for instructions)
Project Repository: https://github.com/sympy/sympy
Mentor: Nikhil Maan
Source: Link