Byte
The goal of Python, with its rich set of built-in functions, is to allow developers to accomplish complex tasks with relative ease. One such powerful, yet often overlooked, function is the map() function. The map() function will execute a given function over a set of items, but how do we...
Scott Robinson
In data manipulation and scientific computing, NumPy stands as one of the most-used libraries as it provides quite a few functionalities. One such operation, "flattening," helps to transform multi-dimensional arrays into a one-dimensional sequence. While flattening an entire array is pretty straightforward, there are times when you might...
The Pandas library offers a plethora of functions that make data manipulation and analysis super simple (or at least simpler). One such function is the mean() function, which allows you to calculate the average of values in a DataFrame. But what if you're working with multiple DataFrames? In this Byte,...
There are times when using Pandas that you may find yourself needing to convert the row index to a column of its own. This may be a useful operation for a couple of reasons, which we'll see later in this Byte. DataFrames and Indexing in Pandas Pandas is a very...
Whether you're logging events or measuring execution times, you'll often find yourself working with dates. In Python, the built-in datetime module makes it easy to get the current date and time, format it, or even do time math. In this Byte, we'll focus on how to get today's date and...
In this Byte we're going to take a look at one of the most common tasks you can do with a list: finding the index of an item. Luckily, this is usually a pretty simple task - but there are a few potential pitfalls and nuances that you need to...
If you've ever needed to send files or data to a server via a POST request, you've likely had to use multipart/form-data. In this Byte, we'll see how to send these requests using the requests library in Python. What is "multipart/form-data"? multipart/form-data is a media...
If you're a Python developer, you've probably come across a variety of errors, like the "local variable referenced before assignment" error. This error can be a bit puzzling, especially for beginners and when it involves local/global variables. Today, we'll explain this error, understand why it occurs, and...
In data analysis applications, one possible way to store data in Python is in a list of dictionaries. But what if you want to perform more complex operations on your data, like sorting, filtering, or statistical analysis? That's where the powerful Pandas library comes in, and more specifically, the DataFrame...
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