Introduction
The world is locked down, and people across the globe are fear-stricken while being in quarantine, credits to the COVID-19 pandemic. Did you know that you can make the best out of this pandemic by practicing with some of the top projects on our platform? With over 100 Python video projects from our creators, we have compiled a list of top 10 Python projects you can learn from home during this quarantine.
What are the top 10 Python projects you can learn from home during quarantine?
1. How to Create a YouTube Clone in Python and Django
This project shows how to create a minimized clone of www.youtube.com web app in Python. It uses Django since the framework enables us to rapidly develop a web project that we can customize and extend with ease. Django provides the opportunity to turn the web app into a backend solution by exposing the business logic via RESTful API. This way, we can easily replace the frontend with a JavaScript framework like React or Vue.JS. Python and Django combined are extremely popular due to ease of learning and rapid development. Besides, Django scales very well both in requests per minute and in terms of maintainability of code. Comparing Django to PHP Frameworks like Symfony is also a treat for Pythoners since Django proved to deliver more performance than PHP rivals.
2. How to Create a Grocery Delivery And Pick-up Service App in Python
This project shows you how to build an online grocery store web application using Django 3.0 and PostgreSQL with third-party libraries, you will learn how to customize Django user model and the logic behind e-commerce websites such as the checkout process, creating and handling orders.
3. How to Chunk Data With Python For Machine Learning
In this project, you will learn how to work with Cat and Dog Images and feed them to a machine learning classifier in chunks, also known as “batch sizes” in Keras. The project evaluates the efficiency with and without using this and also covers the basics of how Machine Learning works and how to feed data to the model.
4. Is Python Almost as Fast as Native Code? Believe It!
One of the biggest draws to Python is that it’s easy to learn and use. But it’s also notorious for being too slow for high-performance, compute-intensive applications. Intel® Distribution for Python addresses these fundamental performance challenges, delivering the speed of compiled languages with full optimization for a wide range of Intel® processors.
5. How to Build a Slack Chat bot in Python
We’ll build a Slack Chat Bot in Python. We’ll cover the architecture and all the elements needed to run a fully functional bot, the dev environment setup, the authentication/installation process of a bot by a team, and multiple teams. We’ll look into bot plugins – i.e., bot behavior. At the end of this series you’ll be able to build your own Slack chat bot that can service multiple teams, from scratch. Wherever possible, I’m aiming to use the simplest and most straightforward tools in order to keep the focus on bot building and not get distracted by tooling.
6. How to Create Covid-19 Case Tracker by Zip Code in Python and Django
This tutorial series will go through the process of building a web application for tracking covid-19 cases using Python 3, Django and SQLite3. This tutorial is made for people that already are familiar with programming, but is not necessary to be fluent in Python or Django framework.
7. Build Multi-tenant Blog APP With Python on Google Serverless App Engine
This tutorial series will go through the process of building a simple blog app using Python 3, Google Cloud Datastore, and Google Cloud App Engine. This tutorial is not intended to explain any programming languages; you should follow it if you already have some knowledge of Web technologies (HTML, CSS and JS). Python knowledge is not mandatory here. Don’t worry if you have never heard of Google Cloud Datastore, App Engine, Flask or Jinja, you’ll be fine.
8. How to Create a Web Scraper/Crawler using Python and Scrapy
In this tutorial, you will learn about the widely used Python framework – Scrapy. Using new knowledge in Scrapy you will learn how to create a few ‘spiders’ including a Wikipedia scraper. You will be guided through each step of the process including debugging common issues when working with Scrapy and web scrapers/crawlers in general.
9. How to Create WebApp for Smart Sensors:Python
This tutorial will cover how to work with flask and how to create a simple API and a web app that notify the user when an event is triggered. During the tutorial you will learn how to set up the environment both for Windows and for Linux, understand how flask works and how to build applications with it.
10. Machine Learning Model: Python Sklearn & Keras
Machine learning (ML) is one of the liveliest fields of artificial intelligence (AI) that is causing major disruptions in our world today. And, to sink your feet deeper in the field, you need to know how to build machine learning models that can accurately predict outcomes. Two of the most popular Python libraries for building machine learning models are Scikit-learn and Keras. In this hands-on project tutorial, you’ll learn how to work with the two libraries in building amazing models for solving various machine learning problems. This is the practical project you need to take your machine learning career to the next level.
Conclusion
The COVID-19 pandemic seems not to be going away. The world has been shut down and everyone is locked down in their homes. This is the best time to learn new things and also for productivity. These top Python projects are well prepared by expert developers and will prepare you for the job market in the future.
