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Python

The programming language for everything.

Python For-else Construct: A Deep Dive

Can you use else in a for loop in Python? The answer is a resounding yes! I know it sounds crazy. The use of else after for and while loops in Python is not a widely known idiom. The use of the for-else construct is often misunderstood and overlooked. For

Soda making process

Python GIL: Explained Like I'm Five

So, you have heard of the Global Interpreter Lock, or GIL for short? What exactly is GIL? Well, in short GIL is a mechanism that is built into the CPython interpreter. It is designed to prevent multiple native threads from executing Python bytecodes at once. “Blah-blah-blah, stop trying to sound

Gifts with wrappers

Python Decorators: Explained in What Why When

Decorators are incredibly powerful in Python. They are useful for creating modular and reusable code. Plus, they're pretty cool once you get the hang of them! In this blog post, we'll take a look at what decorators are, why you should use them, and when you should and shouldn't use

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Ditch These 7 Bad Habits in Python

I have been guilty of all these bad habits. It took me some time to ditch them. Python is well known for its simplicity and versatility. As one of the most used programming languages, there are a lot of great tutorials out there. Unfortunately, the easy-to-learn syntax can sometimes mislead

When To Use Generators in Python

When To Use Generators in Python

Today, “what are Generators in Python” and “what are Generators used for in Python” are some of the most popular Python interview questions. Often, a Generator is considered one of the slightly more intermediate concepts in Python. If you are new to learning Python, you may not have come across

All You Need To Know About Data Classes in Python

All You Need To Know About Data Classes in Python

It is common for us to work with simple data structures such as a Tuple (tuple) or a Dictionary (dict) in Python. We use them almost everywhere and every day in our lives programmers to store data. For instance, we can represent a car object with the code example below:

Python Context Managers: When and Why To Use Them

Regarded as an obscure feature by some, the with statement in Python is often only used when dealing with file operations. Below is an example to read and write a file with Python's built-in open function. with open('hello.txt', 'w') as f: data = f.read() f.write('Hello Python!

Stop Using Exceptions Like This in Python

Welcome to the exciting world of error handling in Python! Imagine building a blog that's running smoothly, with users signing up and creating posts. But wait a minute, what if something unexpected happens? Like a user trying to use an email that's already taken? That's where exceptions come in! Exception

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Tuples vs. Lists vs. Sets in Python

In Python, there are four built-in data types that we can use to store collections of data. With different qualities and characteristics, these built-in data types are List (list), Tuple (tuple), Set (set), and Dictionary (dict). In this article, we are going to dig into the rabbit holes of Lists,

3 Useful Python F-string Tricks You Probably Don’t Know

Long gone are the days when Python developers used the % operator to perform string formatting in Python. Sometime later down the road when Python 3.0 was introduced, common use of the % the operator was gradually replaced with calling the .format() [https://www.w3schools.com/python/ref_string_format.asp]

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How To Write Clean Code in Python

What exactly is “clean code”? Generally speaking, clean code is code that is easy to understand and easy to change or maintain. As code is more often read than written, practicing writing clean code is crucial in our career. Today, I am sharing some tips that I have gathered over

How To Deploy Python Scrapy Spiders for Free on Cloud

Running Scrapy spiders in your local machine can be very convenient during the early stage of development. But, we would eventually need to deploy and run our spiders in the cloud periodically. In search of free options for running periodic crawling jobs, I have come across a few options available

5 Useful Tips While Working With Python Scrapy

Today, there are a handful of Python Scrapy tutorials out there. However, I find that most of the tutorials do not cover these low-hanging fruits that can greatly improve the developer experience of web scraping. In this post, I will be sharing with you some quick and easy tips that

How to Monitor Python GraphQL API With Sentry

How to Monitor Python GraphQL API With Sentry

As engineering teams are adopting CI/CD practices, software products are getting delivered faster than ever. Error monitoring comes in handy as it provides developers the confidence to deploy faster while knowing there’s a safety net watching their deployments. On top of that, having error monitoring helps developers to

Solving N+1 in GraphQL Python With Dataloader

There’s one big problem that you will eventually uncover as you spend more hours developing your GraphQL API. The problem doesn’t give you any errors nor it is obvious to developers — the “N+1” problem. The goal of this article is to shed some light on how one

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JSONField Models in Graphene Django

This article talks about how to return JSON in Python Graphene resolver without backslashes and quotation marks Graphene [https://graphene-python.org/] is very stable and is probably the best library for creating GraphQL [https://graphql.org/] endpoints in Python. While working with Graphene, I came across an issue where JSONFields

Minimal packaging

How to Package Python Apps With PyInstaller

Have you ever built a Python app and wanted to share it with your non-developer friends? Generally, this is what you would typically go through to set up a Python app on a fresh new machine: 1. Download & install a specific version of Python 2. Install pip 3. Setup a

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