If you are a data analyst or work with a lot of data, you might have come across the Pandas library for data manipulation. In this tutorial, we will examine how we can get a value of a cell from a Pandas DataFrame. Related Tutorial: 5 Minutes to Pandas There are 5 ways to extract … Read more
If you have worked on a Python application where you had data in another folder, you would have used a command-line tool like cd to change directories. In this tutorial, we will learn a more Pythonic way of changing directories. Changing directories using the os.chdir function The easiest way to change the working directory in … Read more
Problem Formulation There are different variants of this problem that all ask the same thing: How to create a function dynamically in Python? How to define a function at runtime? How to define a function programmatically? How to create a function from a string? There are many ways to answer these questions—most web resources provide … Read more
How to Display an Image as Grayscale in Python Matplotlib? You can convert a given image to a grayscale image using four simple steps: Import the PIL and Matplotlib libraries Open the image with PIL.Image.open(filename). Convert the opened image to grayscale using img.convert(“L”) with greyscale mode “L”. Display the image using Matplotlib’s plt.imshow(gray_img, cmap=’gray’) function. … Read more
In this article, I present 7 Python scripts that can be used to determine if a string contains nothing but digits 0 – 9. All 7 scripts work for uncomplicated strings – those that don’t have unusual or non-English characters, and do not contain spaces. To understand the idiosyncrasies of each script, see the caution … Read more
Minute 1: Install Dash Type the following command in your terminal/shell. Windows, macOS: Linux, Ubuntu: Minute 2: Create Minimal Dash Project File “app.py” Copy&paste the code into a new file called “app.py” in a folder – with path /path/to/dash_app/app.py: Minute 3: Run Dash App Open a terminal or shell in the /path/to/dash_app/ and run python … Read more
[toc] Introduction Objective: In this tutorial, our goal is to fix the following exception TypeError: A Bytes-Like object Is Required, not ‘str’ and also discuss similar exceptions along with their solutions. Example: Consider the following file ‘scores.txt’which contains scores of some random candidates. Now, let us try to access the score obtained by Ravi from … Read more
There comes a time in all our coding lives when we need to compare lists to understand whether items in one list appear in a second list. In this article we’ll start where we all started, using for-loops, before moving to a more classic Python list comprehension. We’ll then move beyond that to use Python … Read more
The most Pythonic way to convert a list of strings to a list of ints is to use the list comprehension [int(x) for x in strings]. It iterates over all elements in the list and converts each list element x to an integer value using the int(x) built-in function. This article shows you the simplest … Read more
Let’s learn about the difference between a Property and an Attribute in Python. ??
After studying this article, you will know exactly how to calculate the edit distance in Python. Learning requires opening your knowledge gap first. So let’s do this. What is the output of the following Python puzzle showing you a concise code snippet to calculate the edit distance in Python? (source) Python Source Code Now, this … Read more
Problem Description: You have a Numpy array. You want to select specific elements from the array. But neither slicing nor indexing seem to solve your problem. What can you do? In this short tutorial, I show you how to select specific Numpy array elements via Boolean matrices. A feature called conditional indexing or selective indexing. … Read more