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Learn to scrape websites in Python in 3 hours
magnet:?xt=urn:btih:c69762bdf14a701f796be148db8b906bb1902c30&dn= Learn to scrape websites in Python in 3 hours
磁力链接详情
文件列表详情
c69762bdf14a701f796be148db8b906bb1902c30
infohash:
33
文件数量
2.51 GB
文件大小
2021-9-29 14:56
创建日期
2024-7-19 02:09
最后访问
相关分词
Learn
to
scrape
websites
in
Python
in
3
hours
01 Web scraping is just copying and pasting...with style/001 1.1 Intro.mp4 16.46 MB
01 Web scraping is just copying and pasting...with style/002 1.2 Course Outline.mp4 11.72 MB
02 Getting listing information from Airbnb manually/001 2.1 Getting listing information manually.mp4 88.92 MB
02 Getting listing information from Airbnb manually/002 2.2 How websites work.mp4 135.37 MB
03 Writing code to get information for one listing/001 3.1 Download VSCode to write code in.mp4 11.82 MB
03 Writing code to get information for one listing/002 3.2 Writing our first line of code!.mp4 85.35 MB
03 Writing code to get information for one listing/003 3.3 Python basics.mp4 79.69 MB
03 Writing code to get information for one listing/004 3.4 Documenting the steps for our web scraper.mp4 144.21 MB
03 Writing code to get information for one listing/005 3.5 Getting html from airbnb.com.mp4 158.97 MB
03 Writing code to get information for one listing/006 3.6 Getting information for 1 listing.mp4 217.87 MB
04 Formatting listings data/001 4.1 Formatting listings data.mp4 13.68 MB
04 Formatting listings data/002 4.2 `string`.replace(characters_to_replace, replacement).mp4 77.86 MB
04 Formatting listings data/003 4.3 Replacing unwanted text in scrape_airbnb.py.mp4 90.12 MB
04 Formatting listings data/004 4.4 `string`.split(characters_to_split_on).mp4 147.79 MB
04 Formatting listings data/005 4.5 Splitting guest_info in scrape_airbnb.py.mp4 92.9 MB
04 Formatting listings data/006 4.6 `string`.strip().mp4 36.52 MB
04 Formatting listings data/007 4.7 Removing leading and trailing spaces in scrape_airbnb.py.mp4 23.98 MB
04 Formatting listings data/008 4.8 Concatenating strings.mp4 29.6 MB
04 Formatting listings data/009 4.9 Updating the link in scrape_airbnb.mp4 21.8 MB
05 Getting data for all listings/001 5.1 Now that we're done with 1 listing, let's get all the listings!.mp4 39.6 MB
05 Getting data for all listings/002 5.2 Using a `for loop` to repeat code.mp4 84.64 MB
05 Getting data for all listings/003 5.3 Adding conditions to for loops.mp4 129.49 MB
05 Getting data for all listings/004 5.4 Updating scrape_airbnb.py to get the data for all listings.mp4 75.53 MB
06 Saving listings data to spreadsheet/001 6.1 We got all the data, now let's store it somewhere!.mp4 37.21 MB
06 Saving listings data to spreadsheet/002 6.2 Using lists to store data as our code runs.mp4 116.23 MB
06 Saving listings data to spreadsheet/003 6.3 Adding code to scrape_airbnb.py to store listings info.mp4 94.66 MB
06 Saving listings data to spreadsheet/004 6.4 Using dictionaries to store the data.mp4 104.64 MB
06 Saving listings data to spreadsheet/005 6.5 Updating scrape_airbnb.py to store info on each listing in a dictionary.mp4 62.58 MB
06 Saving listings data to spreadsheet/006 6.6 Saving listings data into a spreadsheet.mp4 92.2 MB
06 Saving listings data to spreadsheet/025 lists.py 713 字节
07 Getting listings for multiple locations/001 7.1 Now let's get information from multiple search results!.mp4 9.83 MB
07 Getting listings for multiple locations/002 7.2 Updating scrape_airbnb.py to get listings from multiple locations.mp4 202.55 MB
08 Wrapping it up/001 8.1 That's a wrap.mp4 39.57 MB
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