Problem Formulation and Solution Overview In this article, you’ll learn various ways to subtract days from a date in Python. This article is based on Rivers Clothing and has examples on how to set and subtract a date x number of days, AND, how to subtract one date from another date. 💬 Question: How would … Read more
💬 Question: Given a list of lists such as [[1, 2], [3, 4]]. How to convert it to a tuple of tuples such as ((1, 2), (3, 4))? If you’re in a hurry, here’s the most Pythonic way to convert a nested list to a nested tuple: Use a generator expression with the built-in tuple() … Read more
💬 Question: Given a tuple of tuples such as ((1, 2), (3, 4)). How to convert it to a list of lists such as [[1, 2], [3, 4]]? If you’re in a hurry, here’s the most Pythonic way to convert a nested tuple to a nested list: The list comprehension statement [list(x) for x in … Read more
This tutorial is drawn from my book The Art of Clean Code (NoStarch 2022): Write Clean & Simple Code Story: I learned to focus on writing clean code the hard way. One of my research projects during my time as a doctoral researcher in distributed systems was to code a distributed graph processing system from … Read more
Problem Formulation and Solution Overview This article will show you how to count duplicates in a Pandas DataFrame in Python. To make it more fun, we have the following running scenario: Rivers Clothing has a CSV containing all its employees. However, their CSV file has more rows than employees. This is a definite problem! They … Read more
To update a key in a dictionary if it doesn’t exist, you can check if it is present in the dictionary using the in keyword along with the if statement, and then update the key-value pair using subscript notation or update() method or the asterisk * operator. This approach will be examined in Section 1 … Read more
Preparation Before any data manipulation can occur, two (2) new libraries will require installation. The Pandas library enables access to/from a DataFrame. The NumPy library supports multi-dimensional arrays and matrices in addition to a collection of mathematical functions. To install these libraries, navigate to an IDE terminal. At the command prompt ($), execute the code … Read more
Preparation Before any data manipulation can occur, two (2) new libraries will require installation. The Pandas library enables access to/from a DataFrame. The NumPy library supports multi-dimensional arrays and matrices in addition to a collection of mathematical functions. To install these libraries, navigate to an IDE terminal. At the command prompt ($), execute the code … Read more
Preparation Before any data manipulation can occur, two (2) new libraries will require installation. The Pandas library enables access to/from a DataFrame. The NumPy library supports multi-dimensional arrays and matrices in addition to a collection of mathematical functions. To install these libraries, navigate to an IDE terminal. At the command prompt ($), execute the code … Read more
Preparation Before any data manipulation can occur, two (2) new libraries will require installation. The Pandas library enables access to/from a DataFrame. The NumPy library supports multi-dimensional arrays and matrices in addition to a collection of mathematical functions. To install these libraries, navigate to an IDE terminal. At the command prompt ($), execute the code … Read more
Preparation Before any data manipulation can occur, two (2) new libraries will require installation. The Pandas library enables access to/from a DataFrame. The NumPy library supports multi-dimensional arrays and matrices in addition to a collection of mathematical functions. To install these libraries, navigate to an IDE terminal. At the command prompt ($), execute the code … Read more
Preparation Before any data manipulation can occur, two (2) new libraries will require installation. The Pandas library enables access to/from a DataFrame. The NumPy library supports multi-dimensional arrays and matrices in addition to a collection of mathematical functions. To install these libraries, navigate to an IDE terminal. At the command prompt ($), execute the code … Read more