Easy to add to projects already using RQ,
Posted: Sun Dec 22, 2024 10:29 am
Easy to add to projects already using RQ, it features a simple API that allows you to run Python functions at a given date/time. For more examples of projects that use RQ, check out this post on how to receive text messages when the International Space Station passes over your location , or this one on how to create a phone number that plays computer-generated music like old Nintendo game soundtracks .The Internet offers an incredible diversity of information for human consumption.
But it is often difficult to access this data programmatically, unless it is presented in the form of a dedicated REST API . With Python tools like Beautiful Soup , you can scrape, parse web pages, and then use this data in your projects. For example: How to retrieve MIDI data from the Internet to train a neural network with Magenta that will be able to generate retro Nintendo music? For this we need a set of MIDI music from old Nintendo games.
Beautiful Soup allows us to obtain this data phone number philippines from the Video Game Music Archive . Starting and installing dependencies Before proceeding, make sure you have installed the Python 3 update and pip . Create and activate a virtual environment before installing all dependencies. Now you can install the Requests library . This is what will be used to make HTTP requests to get the data from the web page and Beautiful Soup to parse the HTML.
Once your virtual environment is activated, run the following command in your terminal: Text Copy the code pip install requests==2.22.0 beautifulsoup4==4.9.3 Good to know: Beautiful Soup 4 is the most recent version, 3 is no longer developed or supported. Using Requests to retrieve data for analysis with Beautiful Soup We need to retrieve the HTML of the web page. Write the code below to send a GET request to the web page we want, which will create a BeautifulSoup object with the HTML of that page: Python Copy the code import requests from bs4 import BeautifulSoup vgm_url =
vgmusic.com/music/console/nintendo/nes/' html_text = requests.get(vgm_url).text soup = BeautifulSoup(html_text, 'html.parser') With this object soupyou will be able to navigate and search data directly in the HTML. For example : By running soup.titleafter the previous code in a Python shell you will get the title of the web page By entering print(soup.get_text())you will be able to see the entire text of the said page. Getting to know Beautiful Soup Pro-tip: The find() and find_all() methods are among the most powerful weapons in your arsenal: soup.
But it is often difficult to access this data programmatically, unless it is presented in the form of a dedicated REST API . With Python tools like Beautiful Soup , you can scrape, parse web pages, and then use this data in your projects. For example: How to retrieve MIDI data from the Internet to train a neural network with Magenta that will be able to generate retro Nintendo music? For this we need a set of MIDI music from old Nintendo games.
Beautiful Soup allows us to obtain this data phone number philippines from the Video Game Music Archive . Starting and installing dependencies Before proceeding, make sure you have installed the Python 3 update and pip . Create and activate a virtual environment before installing all dependencies. Now you can install the Requests library . This is what will be used to make HTTP requests to get the data from the web page and Beautiful Soup to parse the HTML.
Once your virtual environment is activated, run the following command in your terminal: Text Copy the code pip install requests==2.22.0 beautifulsoup4==4.9.3 Good to know: Beautiful Soup 4 is the most recent version, 3 is no longer developed or supported. Using Requests to retrieve data for analysis with Beautiful Soup We need to retrieve the HTML of the web page. Write the code below to send a GET request to the web page we want, which will create a BeautifulSoup object with the HTML of that page: Python Copy the code import requests from bs4 import BeautifulSoup vgm_url =
vgmusic.com/music/console/nintendo/nes/' html_text = requests.get(vgm_url).text soup = BeautifulSoup(html_text, 'html.parser') With this object soupyou will be able to navigate and search data directly in the HTML. For example : By running soup.titleafter the previous code in a Python shell you will get the title of the web page By entering print(soup.get_text())you will be able to see the entire text of the said page. Getting to know Beautiful Soup Pro-tip: The find() and find_all() methods are among the most powerful weapons in your arsenal: soup.