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I have a large dataset in a JSON format that contains the file extensions of different programming files. I would like fill the entry "language" with the name of the related programming language in order to make it possible to search the data-set for specific languages. The dataset looks like this:
data = [{"ID":".","doc_path":".","doc_type":".py","language":#insert language here}{"ID":".","doc_path":".","doc_type":".m","language":#insert language here}...]
Is there a way to derive the language name automatically from the doc_type?
There's no built-in mapping object for this in the stdlib. You might be able to find some 3rd-party module that provides it (e.g. on PyPI).
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I have python service project (old, not written well) to get data from third party using web socket client, which is not stable. In order to improve trouble shooting, I would like convert it c# solution.
convert python source code to c#
find all nudget packages to matches with python library
Thanks.
try to find a easy way to do conversion.
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I am looking forward to building a program in python which tells if a text is fake or real. This is a project I want to start for educational purposes. For example, someone is sharing a story, the program will check the input and will determine whether the author is likely telling truth or fiction based on common patterns. I am looking for some things I can start off from, like libaries or documentation. Thanks for anyone who is willimg to help.
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I started learning web development, so besides Frontend, which is what I'm learning now, I want to learn a backend language (Python or PHP).
Let's suppose I start learning Python ( or the other way around), but a company that uses PHP for backend hired me.
Is it possible to get along with what I have, or will I have to learn PHP?
Thank you.
Yes, it should work, but remember, treating them as two separate languages because they are PHP and Python, the best approach is to ignore their specificity.
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One of the most popular tools to generate static sites is Sphinx which is largely used in the Python community to document code. It converts .rst files into other formats like HTML, PDF and others. But how is it possible that a static documentation with plain HTML files is searchable without losing performance?
I guess, it's done by creating an index (like a JSON file for example) that will be loaded via AJAX and is interpreted by something like lunr.js. Since many major projects in the world of Python have a huge documentation (like the Python docs itself). Therefore, how is it possible, to create such a good search without creating a gigantic index file that needs to be loaded?
You can use Google Search Engine to use Google´s power on your site. It is difficult to customize yet powerful. Other reference in this question
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Is there any known way to do realtime collaboration stuff (like Google Docs) in Python (not thru the browser)? I'm working on a program, and would like to add said feature to it.
Thanks
You can try Dweet, which is a service that stores JSON data in key values pairs. You can use one of the client libraries listed on their website or you could simply make a request like so:
urllib.urlopen('https://dweet.io/dweet/for/my-thing-name?dweet=awesome')