Python Shortest String in NumPy Array To find the shortest string in a given NumPy array, say arr, you can use the min(arr, key=len) function that determines the minimum by comparing the length of the array elements using the len() function as a key for comparison. You can find more about the powerful min() function … Read more
Is TensorFlow Better Than PyTorch? Since PyTorch made its way into the machine learning sphere in 2016, loyalists from both camps have sung the praises of their framework of choice. Today, curious minds such as yourself are looking through page after page to find out which one is worth your valuable time and effort. Both … Read more
Python Longest String in NumPy Array To find the longest string in a given NumPy array, say arr, you can use the max(arr, key=len) function that determines the maximum by comparing the length of the array elements using the len() function as a key for comparison. You can find more about the powerful max() function … Read more
👉 This is a follow-up article to Gradient Descent in Neural Nets – A Simple Guide to ANN Learning – Finxter, where a lightweight introduction to Gradient Descent is given. In this article, you will learn how to produce the graphs in that article, especially the vector fields! Data visualization is an enlightening task in … Read more
💬 Challenge: Given a Pandas DataFrame. How to find the longest string in a given DataFrame column? We’re going to discuss different variants of this problem next. Let’s get started with the easiest next! Method 1: Find Length of Longest String in DataFrame Column To find the length of the longest string in a DataFrame … Read more
Problem Formulation and Solution Overview This article will show you how to add days to a Pandas DataFrame Date column. To make it more interesting, we have the following running scenario: CheckersTV is a new channel offering streaming news and games. They have a large subscriber base, each paying a monthly fee of $12.99. For … Read more
Problem Formulation and Solution Overview This article will show you how to find the most common element in a Pandas Column. To make it more interesting, we have the following running scenario: You have been provided with a downloadable CSV file containing crime statistics for the San Diego area, including their respective NCIC Crime Codes. … Read more
How to Plot a Circle in Python? You can easily plot a circle in Matplotlib’s Pyplot library by calling plt.gca() to “get the current axis”. Then call the axis.add_patch() function and pass a plt.Circle() object into it. For example, the one-liner plt.gca().add_patch(plt.Circle((0.5, 0.5), 0.2, color=’lightblue’)) adds a lightblue circle to the plot at position x=0.5, … Read more
Image source Blockchain. This new technology is changing the way transactions are recorded and verified, and it’s leading us into a new era with enticing promises: smart contracts, shared ledgers, immutable data records, and blockchain analytics. There are so many different ways to use this innovative blockchain analytics. Who wouldn’t want to know all about … Read more
To export/convert a Pandas DataFrame to a CSV file, use the Pandas method to_csv(). Set the index=False argument if you don’t want the first column to be the index number in the CSV, which is usually the case. Let’s dive into a simple two-step example on how to convert a DataFrame to a CSV easily … Read more
Problem Formulation and Solution Overview In this article, you’ll learn how to extract specific columns or a sub-set thereof from a NumPy array in Python. Often, a sub-set of data needs to be extracted from a larger dataset. This sub-set could be a pre-determined number of column(s) or row(s). These examples show you how to … Read more
In this article, we’ll be learning about something that is literally everywhere. Whatever corner you turn, whatever street you run down, you can’t get away from it. It is as ubiquitous as the physical space around us. Yes today, we’re talking about… TIME. More specifically, we’re talking about NumPy’s functions that represent dates and times. … Read more