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.
Comparing US baby names
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…
Python: parsing web content for a recipe search
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…
Turning property fund data into soup
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…
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