30-Days-of-Python | Learn Python for the next 30 Days | Functional Testing library

 by   codingforentrepreneurs HTML Version: Current License: MIT

kandi X-RAY | 30-Days-of-Python Summary

kandi X-RAY | 30-Days-of-Python Summary

30-Days-of-Python is a HTML library typically used in Testing, Functional Testing, Fastapi, Selenium applications. 30-Days-of-Python has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

For the next 30 days, learn the Python Programming language. Watch the official tutorial series on CFE or YouTube.
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              30-Days-of-Python has a medium active ecosystem.
              It has 1994 star(s) with 1331 fork(s). There are 263 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 8 open issues and 8 have been closed. On average issues are closed in 748 days. There are 80 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of 30-Days-of-Python is current.

            kandi-Quality Quality

              30-Days-of-Python has no bugs reported.

            kandi-Security Security

              30-Days-of-Python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              30-Days-of-Python is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              30-Days-of-Python releases are not available. You will need to build from source code and install.

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            30-Days-of-Python Key Features

            No Key Features are available at this moment for 30-Days-of-Python.

            30-Days-of-Python Examples and Code Snippets

            No Code Snippets are available at this moment for 30-Days-of-Python.

            Community Discussions

            QUESTION

            What html classes/ids to search for when extracting the answers under a stack overflow question using requests-html
            Asked 2020-Nov-12 at 18:49

            Problem Introduction Language version: Python 3.8

            Operating System: Windows 10

            Other relevant software: Jupyter notebook and html-requests

            Context: I have been following along with this tutorial to scrape stackoverflow for questions. My goal is to extract the answers (from the url of the question) and who answered it. However, I am having difficulty determining what classes/id's to search for in the html of a question

            Things I have tried: I have attempted searching under ('.container') for things like ('.post-layout'), '.mb0', '#answers', and'#answers-headers' with marginal, cluttered, success.

            An excerpt from the code I am using to parse the pages(not the questions) here is the github link:

            ...

            ANSWER

            Answered 2020-Oct-13 at 21:24

            You should look for .answercell class

            Source https://stackoverflow.com/questions/64339345

            QUESTION

            Getting ... yelp_soup is not defined when writting scraper script
            Asked 2017-Nov-12 at 04:19

            I'm getting the error:

            yelp_soup is not defined when writting scraper script

            I don't know why, this is code copied from the udemy course, but it works for them. Why is that?

            this is link to the github from where I copied it as a last resort but not working:

            https://github.com/codingforentrepreneurs/30-Days-of-Python/blob/master/Day%2021%20-%2023/scrape/code/scape.py

            Any suggestions? I tried few ideas but nothing changed it?

            ...

            ANSWER

            Answered 2017-Nov-12 at 04:19

            I've modified a little to serve the purpose. Run this and let me know if you encounter further issues:

            Source https://stackoverflow.com/questions/47241675

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install 30-Days-of-Python

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            gh repo clone codingforentrepreneurs/30-Days-of-Python

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            git@github.com:codingforentrepreneurs/30-Days-of-Python.git

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