If you are an application developer, you might have to implement an error-free code that is well tested. In my instances, we would like to ignore I/O or Numerical exceptions. In this blog post, you will learn how we can safely ignore exceptions in Python. Imagine you are working on an application where you have … Read more
If you work in the field of data science you might have to draw a lot of plots using either Matplotlib or Seaborn. In this blog post, you will learn how to set a limit to the y-axis values in Matplotlib. We will start by loading the Boston household data and process the data to … Read more
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. ??