Introduction Learning how to skip a value in a Python list is an important skill to have as it can help you write more efficient and effective code. Skipping values in lists can be done in several different ways, depending on the specific situation. Learning how to skip a value in a Python list is […]
Data Science, Machine Learning, Python Basics
Introduction In this blog post, we’ll be exploring Linear Regression in Machine Learning with Python. There are many potential applications for linear regression, especially for your business, including: Sales forecasting: Linear regression can be used to predict future sales based on historical data, such as product pricing, marketing expenses, and consumer demographics. Inventory management: Linear […]
Analyzing Taylor Swift’s Songs¶ To celebrate Taylor’s new album which has 10 of the top 10 Billboard charts (first time to ever happen), let’s explore Taylor’s discography with the Spotify API. Get credentials from Spotify API¶ Go to your Spotify Dashboard at https://developer.spotify.com/dashboard/ and create a new application, then grab the […]
Picture this: you’ve just finished creating a fantastic Python program and intend to let the world see it. You then send your friend a directory containing all your scripts and encourage them to try it out. Only first, they must install Python and then run the program via the IDLE shell or the command line. […]
Data Science, Python Basics, Tutorials
Learn how to use Python and Data Science to visualize and analyze inflation data.
Today, Python is the most widely used programming language – it’s open-source, easy to learn, and easy to debug. Another key benefit of using Python is the Python libraries – incredible collections of related modules. Having these bundles of code, that can be repeatedly used in a wide range of different modules, makes Python programming […]
There are three main ways of measuring central tendency- median, mean, and mode. Each has its own strengths and weaknesses, which is why data scientists use all three depending on the dataset they are examining. In this article, we will explore what each measure is and how it can be used to gain insights into […]
Data structures are the basic building blocks of data. They define how data is organized and accessed. As a data scientist, it is important to be familiar with all the different data structures so you can choose the best one for the task at hand. In this article, we will discuss some of the most […]
Guide to Web Scraping with Python In this blog post we’ll get you started with web scraping and Python. Before we begin, here are some important rules to follow and understand: Always be respectful and try to get premission to scrape, do not bombard a website with scraping requests, otherwise your IP address may […]
