Django, Plotly and BeautifulSoup - Generating Charts from Raw Web Data скачать в хорошем качестве

Django, Plotly and BeautifulSoup - Generating Charts from Raw Web Data

In this video, we will scrape results from the World Cup using BeautifulSoup, store the scraped data with Django's ORM, and use the data to produce a Plotly bar chart of the highest scoring teams in the tournament. This video will demonstrate how you can turn unstructured web/HTML data into a structured format in the database, and produce meaningful charts that give insight into that data. We will scrape the fixture data from the BBC results pages: https://www.bbc.com/sport/football/wo... Starter code is available here: https://github.com/bugbytes-io/django... 📌 𝗖𝗵𝗮𝗽𝘁𝗲𝗿𝘀: 00:00 Intro 00:52 Scraping World Cup results with Django management command 02:46 Defining a list of URLs to scrape data from the BBC 06:59 Extracting URL code to a dedicated model-method 07:56 Sending requests to get HTML content with the requests Python module 08:36 Extracting data from webpage with BeautifulSoup 13:09 Adding scraped data to the database with Django model 14:20 Fetching data in a Django view 15:41 Using Django Q Objects for OR expression 19:24 Plotting goals scored as Plotly bar-chart ▶️ Full Playlist:    • Django, Charts and Data Visualization   ☕️ 𝗕𝘂𝘆 𝗺𝗲 𝗮 𝗰𝗼𝗳𝗳𝗲𝗲: To support the channel and encourage new videos, please consider buying me a coffee here: https://ko-fi.com/bugbytes 𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮: 📖 Blog: https://www.bugbytes.io/posts/ 👾 Github: https://github.com/bugbytes-io/django... 🐦 Twitter:   / bugbytesio   📚 𝗙𝘂𝗿𝘁𝗵𝗲𝗿 𝗿𝗲𝗮𝗱𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: Plotly Bar Charts: https://plotly.com/python/bar-charts/ Django Q-Objects: https://docs.djangoproject.com/en/4.1... BeautifulSoup: https://beautiful-soup-4.readthedocs.... BBC World Cup Fixtures: https://www.bbc.com/sport/football/wo... Github Starter Code: https://github.com/bugbytes-io/django... #django #python #beautifulsoup