Django and Flask are two of the most popular Python web frameworks. In this article, we’re going to review their main strengths and weaknesses to help you decide which one is a better fit for your project. Django Approach Django opts for an all batteries-included approach. From a powerful ORM to an authentication
Open Source software (OSS) is a key initiative for developers at Rootstrap to stay sharp and engage with the developer community. In this blog post I’m going to talk about a particular project named Django Drip Campaigns and how was the process of publishing it as a pypi package. Pypi (that stands
Since Uber’s first ride request in 2010, the tech giant’s cutting edge engineering has revolutionized the rideshare industry. While today’s tech stack may be well equipped to build an app like Uber, the location-based startup was the first of its kind to put a taxi app with real-time GPS in
A huge amount of existing applications have registration and authentication for users. Maybe every developer in the world has implemented something related to this in their work or while they learned. After the creation of the Django REST framework, Django developers started to implement more and more app-level REST API endpoints.
I recently finished working on a small project in Django when I realized that it could be improved greatly by adding a single feature. There were a few functionalities depending directly on constant values defined in the settings file but given their nature, it seemed like a good idea to be able
Oftentimes, we are surprised by the accuracy of recommendations on what to buy on Amazon, watch on Netflix, or listen on Spotify. We feel that somehow these companies know how our brain works and monetizing this magical guessing game. They have a deep foundation on behavioral sciences, and our job
My team recently faced a brand new challenge: developing a way to classify job positions written in natural language by lots of different people. It sounds simple, but there are a few factors that made this problem hard to solve. Job positions can be ambiguous depending on language usage and
The Django framework saves time and effort and helps to create apps and REST APIs with maintainable code. This post gives some practical examples of what to do and what not to do when you code in Python using Django. In this post, I’ll explain why good code structure and
Data quality is a broad concept with multiple dimensions. I detail that information in another introductory article. This tutorial explores a real-life example. We identify what we want to improve, create the code to achieve our goals, and wrap up with some comments about things that can happen in real-life situations. To follow along, you need a basic understanding of Python.
Python Data Analysis Library (pandas) is an open-source, BSD-licensed library that provides high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
You can install pandas by entering this code in a command line: python3 -m pip install — upgrade pandas.
