Python: parsing web content for a recipe book
In one of my first coding projects, I use Python and the Spoonacular API to create a program that shows users recipes from the web based on what they have in their cupboard and their dietary requirements. It then displays the recipe information and instructions.
Here I analyse the US Social Security Baby Name catalogue, which reports the name given to male and female newborns for every year since 1880. I need to load all the tables and concatenate them in a single data frame. To avoid confusing data from different years, we can prepare the individual data frames by adding a new column […]
Spoonacular API is food and recipes API, allowing you to scrape web data from an online database with hundreds of thousands of recipes, products and ingredients. Using Python, I wrote a script that takes user input (what ingredients do you have? What are your dietary requirements?), sends a request to the API, and then returns […]
The Python programming language can scrape information from a web page (a HTML page). Here, I scrape the table element from the performance data page provided by the Associate of Real Estate funds. This index shows the performance of property funds across a quarterly basis; here I look at the quarter ending March 2020. Both […]
Get new content delivered directly to your inbox.