taskipy
requests-html
taskipy | requests-html | |
---|---|---|
9 | 14 | |
423 | 13,584 | |
2.1% | 0.2% | |
4.9 | 0.0 | |
6 days ago | 18 days ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
taskipy
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Useful Python Modules for us
pdbpp: Improved pdb boltons: assorted python addtions twisted: event driven networking framework sorcery: Dark magic in python, things know where+how they are being called, helps reducing boilerplate sh: Better alternative for subprocess module, much more pythonic taskipy: npm run scipt_name like functionality snoop: pdb lite, record+replay function steps birdseye: graphical debugger remote-pdb: easy pdb from inside containers typer: wrapper around click for simpler code for CLIs arrow: Always TZ aware datetimes, plus more features more-itertools: more functions for iterators pydantic: data validation + dataclasses loguru: better logging notifiers: sending notifications from python
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What is your favorite ,most underrated 3rd party python module that made your programming 10 times more easier and less code ? so we can also try that out :-) .as a beginner , mine is pyinputplus
Taskipy
- GitHub - illBeRoy/taskipy: the complementary task runner for python
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This Week In Python
taskipy – complementary task runner for python
- Taskipy: The Complementary Task Runner for Python
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Which not so well known Python packages do you like to use on a regular basis and why?
I always use Taskipy https://github.com/illBeRoy/taskipy to run tasks in my applications, works really well with Poetry so when I am running my dev Flask/FastAPI server and Celery or running my tests or format my code it's all there.
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No-op statements syntactically valid only since Python X.Y
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In legacy (don't break anything) mode, there's still no reason to not switch. I export `requirements.txt` with poetry just for pip legacy reasons and it works great. If I just update some scripts, I could avoid it. It's running all the time in CI, it's exercised quite a bit.
What's wrong with just using pip and requirements.txt? There's no dev section. In addition, bumping deps is not the same. I have [a blog post](https://squarism.com/2021/09/10/sciencing-out-updates/) explaining semver updates to a python dev.
_my strong assertion:_ Python and Go missed it from the start. That's why it is so confusing. There's no other choice in Rust but Cargo. Rust devs are never confused on how to add a package, semver it. The answer is always Cargo. It's in the tutorial. It's in the book. It's in the culture.
I think I've heard that pip might support the pyproject spec, poetry already does. If you want scripts like npm, you can have that too with [taskipy](https://github.com/illBeRoy/taskipy). You don't have to.
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Top python libraries/ frameworks that you suggest every one
taskipy
- Writing Makefiles for Python Projects
requests-html
- will requests-html library work as selenium
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8 Most Popular Python HTML Web Scraping Packages with Benchmarks
requests-html
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How to batch scrape Wall Street Journal (WSJ)'s Financial Ratios Data?
Ya, thanks for advice. When using requests_html library, I am trying to lower down the speed using response.html.render(timeout=1000), but it raise Runtime error instead on Google Colab: https://github.com/psf/requests-html/issues/517.
- Note, the first time you ever run the render() method, it will download Chromium into your home directory (e.g. ~/.pyppeteer/). This only happens once.
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Data scraping tools
For dynamic js, prefer requests-html with xpath selection.
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Which string to lower case method to you use?
Example: requests-html which has a rather exhaustive README.md, but their dedicated page is not that helpful, if I remember correctly, and currently the domain is suspended.
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Top python libraries/ frameworks that you suggest every one
When it comes to web scraping, the usual people recommend is beautifulsoup, lxml, or selenium. But I highly recommend people check out requests-html also. Its a library that is a happy medium between ease of use as in beautifulsoup and also good enough to be used for dynamic, javascript data where it would be overkill to use a browser emulator like selenium.
- How to make all https traffic in program go through a specific proxy?
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Requests_html not working?
Quite possible. If you look at requests-html source code, it is simply one single python file that acts as a wrapper around a bunch of other packages, like requests, chromium, parse, lxml, etc., plus a couple convenience functions. So it could easily be some sort of bad dependency resolution.
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Web Scraping in a professional setting: Selenium vs. BeautifulSoup
What I do is try to see if I can use requests_html first before trying selenium. requests_html is usually enough if I dont need to interact with browser widgets or if the authentication isnt too difficult to reverse engineer.
What are some alternatives?
Toolz - A functional standard library for Python.
Scrapy - Scrapy, a fast high-level web crawling & scraping framework for Python.
wheezy.template - A lightweight template library.
MechanicalSoup - A Python library for automating interaction with websites.
yamlpath - YAML/JSON/EYAML/Compatible get/set/merge/validate/scan/convert/diff processors using powerful, intuitive, command-line friendly syntax.
requests - A simple, yet elegant HTTP library. [Moved to: https://github.com/psf/requests]
plumbum - Plumbum: Shell Combinators
feedparser - Parse feeds in Python
zpy - Zsh helpers for Python venvs, with uv or pip-tools
RoboBrowser
snoop - A powerful set of Python debugging tools, based on PySnooper
pyspider - A Powerful Spider(Web Crawler) System in Python.