Python is considered as one of the easiest & the most popular languages. The most interesting thing about python which personally excites me is that various open-source projects can be implemented with it.
Well directly jumping into the projects, I would recommend you to have a proper understanding of python & its concepts.
I will provide you with 50+ open-source python projects.
Below are some of the steps you need to consider to learn python & contribute to its open-source projects.
Before immediately diving into learning python, first of all, figure out what motivates you to learn python. Because without enough motivation & an end goal, the journey becomes painful & quite boring.
Along with this, you are also required to decide your area of interest as python is a programming language that has a variety of applications. Figure out the things that actually interest you & that you’re willing to stick to it.
- Mobile Applications
- Web Development
- Data Science/ Machine Learning
- Games & 3D graphics
- START WITH THE BASICS – The Key to Success
Learning any programming language requires to get started with the basics. Getting well acquainted with the basics concepts of programming language helps everyone to build strong foundations.
- Python Syntax
- Numbers, strings, dictionaries, lists & tuples.
- Control structures
- Object-oriented programming
- DATA STRUCTURES & ALGORITHMS
To gain mastery in python programming one just cannot afford to skip this step. It is very essential to learn data Structures & algorithms thoroughly as they will be used throughout the journey. Stacks, trees, graphs, queues, etc are the data structures. You need to decide which data structure you will need which totally depends upon the tasks to be performed.
Algorithms are something that provides you with the capability to build optimal solutions & improve your programming skills. Algorithms are required for searching, recursions, backtracking, etc.
- FRAMEWORKS & LIBRARIES
Frameworks are required by the programmers to make their life easier. It helps in automating the implementation of unnecessary tasks & enables the programmers to focus on application logic rather than on routine elements. Django, TurboGears, Flask, Pyramid, etc are the most famous frameworks of python.
Python has a huge collection of libraries which makes it the simplest & most popular programming language. Matplotlib, Pandas, TensorFlow, Scikit-Learn, etc. are some of the important Python libraries.
Once you get well familiar with the theoretical part, its time to contribute to some of the open-source python projects & improve your python skills.
Following are some of the OPEN-SOURCE PYTHON PROJECTS that I have personally worked upon –
OpenCV is an abbreviated form for Open-source computer vision. The library has 2500+ algorithms that can be used to detect & identify objects & faces, categorizing different human activities.
It is one of the best library meant for music & audio analysis. It provides the capabilities used to retrieve information from the music. The library is well documented which makes your tasks easier.
A Python library used for developing mobile applications & other multi touch application software with a natural user interface. It is an open-source library that is user-friendly, GPU accelerated & cross-platform.
Magenta is an open-source library which lets you create music & art using machine learning. The library is powered by TensorFlow & has the capabilities for manipulating source data that is used to train machine learning models.
Chainer is a deep learning framework based in Python & offers object-oriented high-level APIs to build & train neural networks. It is a flexible, intuitive & powerful framework. It also provides differentiation APIs which is totally based on the define-by-run approach.
Python is high level, open-source & free web crawling & scraping framework written in python. You can use it for data mining, monitoring & automated testing as well as to crawl websites to extract data structure from.