Tricks that will make your life easier as a python developer — Introduction Python is a versatile and widely-used programming language with a vast array of libraries and frameworks. However, there are some lesser-known Python coding tricks and libraries that can make your life as a developer easier and your code more efficient. In this blog, we will explore some of these less-known…

Here are the six new things I learned about Python despite using it for years. — I’ve been programming in Python since 2017, and only knew of these in the past one year. 1) We can use ‘pprint’ to print stuff nicely Let’s say we have a complex data structure that we want to print eg. a multi-nested dictionary. shops = { "A": { "apple"…

Running out of time? Here’s a Python library that will help you do data analysis in a few minutes. — Picture this — you need to explore your data and transform it, but you’re running out of time. You know the Pandas methods you need to use to create a column, sort it, change its name, and create a visualization, but writing the code to get all of this would…

1) Functions that take in zero parameters def hello(): print("hello") hello() # hello 2) Functions that take in 1 or more parameters A function that takes in 1 parameter: def add10(a): return a + 10 x = add10(7) # 17 A function that takes in 2 parameters: def add(a, b): return a + b x = add(4, 5) # 9 3) Functions that take in default parameters def greet(name, greeting="hello"): print(greeting, name)

A quick demonstration of why sometimes using yield is better and can make your code run faster (especially when dealing with lots of data). — When we started learning Python, we were probably taught to use the return keyword in functions rather than yield. In this article, I’ll quickly demonstrate why sometimes using yield is better and can make your code run faster (especially when dealing with lots of data).

No need to run loops in Python anymore — Introduction Loops are expensive(slow) in Python and if you are working with a large number of rows then it’s a crime. In this blog, I will take you through the theory and practical examples of the functions that you can use as an alternative to loops in python. We will cover…

It’s a kind of magic — Python is the go-to language for most data science and machine learning projects. However, not every data scientist is necessarily a seasoned Python developer who knows and exploits all the nice features the language offers. This is of course understandable but also unfortunate at the same time. Why? Because knowing…

Using Makefiles, pre-commit hooks, and GitHub Actions to help create a happy development team — Do you want your team to enjoy your development workflow? Do you think building software should be fun and existentially fulfilling? If so, this is the article for you! I’ve been developing with Django for years, and I’ve never been happier with my Django project setup than I am right…

Advice for cleaner and better Python code — In this article, we’ll be taking a look at two common coding styles that programmers use to handle scenarios where a piece of code might fail: “Look Before You Leap” (LBYL) and “Easier To Ask for Forgiveness Than Permission” (EAFP). If you aren’t familiar with the LBYL vs. EAFP debate…

Are you Using Print or Log to Debug your Code? Use Icecream instead. — Motivation If you are using print to debug your code, you might find it confusing to look at many lines of output on your terminal and then try to figure out which code each output belongs to. For example, running the script below will give you 30 40 Which one…

A Short and Clean Approach to Processing Iterables — Motivation map and filter are two efficient Python methods to work with iterables. However, the code can look messy if you use both map and filter at the same time. Wouldn’t be nice if you can use pipes | to apply multiple methods on an iterable like below?

It is easy to write bad functions, much harder to write exemplary ones — here are some of the ways I improve mine — Introduction Writing code can be a seriously difficult and challenging gig. This is especially the case when some problems are difficult to solve, and have multiple solutions. It is not always easy to keep your code in tip-top, perfect shape. This is especially the case when there are multiple solutions to…