Flask and Django have long been two of the most prominent web frameworks in the Python world. But with each year that passes, advancements and changes shift the scales. In this 2023 guide, we delve deep into the differences between Django and Flask, exploring their advantages, drawbacks, and unique features. If you’re unsure about which […]
Flask vs Django in 2023: Which Python Web Framework to Choose? Read More »
Python offers different mechanisms to define interfaces and enforce contracts between objects. Two of the most common ones are Abstract Base Classes (ABC) and Protocol. In this post, we will explore the differences between these mechanisms and how they can be used in Python programming. Key takeaways Understanding Abstract Base Classes An Abstract Base Class
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Learn how to extract all the Python library imports from your code files with this simple Python script. Key Takeaways Introduction As your Python project grows, you may find it difficult to keep track of all the libraries that you’ve imported in your code files. This information can be useful for various reasons, such as
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When working with Python applications, you may need to use environment variables to store sensitive information, API keys, or other configurations. A common way to manage environment variables in Python is to use a .env file, which contains key-value pairs that represent the environment variables. However, sometimes when you update your .env file, your Python
How to Update Environment Variables in Python: Tips for Refreshing .env Files Read More »
If you’re working with files in Python, you’re likely familiar with the os.path module. It provides a set of functions for working with file paths, such as os.path.join() for joining path components and os.path.exists() for checking whether a path exists. However, in recent years, a new module has emerged that offers a more modern, object-oriented
Path vs os.path: What’s the Difference? Read More »
Importing custom Python modules into your scripts is an important aspect of Python programming. It allows you to organize your code into separate modules or files, which makes it easier to manage, maintain, and reuse code. Key Takeaways What is a Python Module? A Python module is a file containing Python definitions and statements. It
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Creating a Pandas Dataframe from a List The pandas.DataFrame() constructor can be used to create a dataframe from a list of data. The list can contain different types of data, such as strings, integers, and floats. The resulting dataframe will have one column for each element in the list. Here’s an example of creating a
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If you’ve ever used a list comprehension in Python, you might have wondered if there is a way to create a tuple comprehension. The short answer is: there is no direct way to create a tuple comprehension in Python. Why Is There No Tuple Comprehension in Python? You can’t create a tuple comprehension in Python
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Finding the square root of a number is a common operation in mathematics. In Python, there are several ways to find the square root of a number. In this article, we will compare the performance of the math.sqrt() function, and the **0.5 operation. We will test the performance of these alternatives for 10,000,000 times, using
[Python] Square Root without math: Worth it? math.sqrt() vs **0.5 Performance Read More »
What is F-String Padding in Python? F-string padding in Python is a way to add characters to the beginning or end of a variable. This is useful for formatting output and it can be used to add spaces, dashes, or other characters to a string when you want to make it a certain length and
[Python] F-String Padding: What It Is and How To Use It Read More »
Imagine you want to multiply all elements in a Python list, like this one: We want to multiply every element in the list, so our result should be: 2 * 3 * 5 * 8 * 13 = 3120 We have many ways to multiply list elements in Python, including (but not limited to): But
When trying to measure how long a loop or another routine takes in Python, you’ll have the choice between multiple functions. The most common ones for task are process_time and perf_counter. But what’s the difference? And which one should you choose? In Python, both time.process_time() and time.perf_counter() will return a float value (in seconds) for
[Python] process_time vs perf_counter: What’s The Difference? Read More »
When converting a list to a string in Python, str.join() performed 3.47x faster than type casting with str(list) and 6.17x faster than looping over the list elements and concatenating them to a new string. This test was performed over 10 million iterations on Google Colab. Please note that this test was performed on Google Colab,
[Python] List To String: Which One Is Faster? join() vs str() vs += Read More »