lib2to3 Architecture Documentation [closed] - python

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I want to get a feel for lib2to3 but can't find much in the way of documentation. Has anything in the way of an architecture overview been written? Where can I find more information on the library?

The only documentation that I am aware of (apart from the source code), is Lennart Regebro's excellent Porting to Python 3 book (online in full).
The book has a full chapter on writing your own lib2to3 fixers. The chapter discusses the parse tree architucture used by lib2to3 and how to take advantage of that structure to create your own translations to be run when porting code from python 2 to 3.

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Course indication for community databricks [closed]

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I need to learn how to use databricks, using the Python programming language. Does anyone have any introductory course tips that teach how to use the Databricks community (which is free), where I can use the Python language?
Any tips swill be appreciated!
There's a lot of tutorials, you can find many stuffs googling some keywords, like databricks community, python, ....
Here are some options, that in my opinion is friendly:
https://medium.com/analytics-vidhya/beginners-guide-on-databricks-spark-using-python-pyspark-de74d92e4885;
https://towardsdatascience.com/getting-started-with-databricks-analyzing-covid-19-1194d833e90f;
https://hevodata.com/learn/databricks-python/.
In these tutorials an easy-to-understand language is used. The first steps are also detailed here.

Advanced Python book referral needed [closed]

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I am coming from C++ world and just trying to start with Python and gained my initial bearings using "Thinking in C++." It gave me a lot of insights into C++ world and i didn't get lost.
Is there any similar book for python as well???
For basics i used "Learning Python the hard way". I just gave me some insight into how i can code in python but not in-depth as to how its interpreted and if any approach would be faster etc...
Any advice would be helpful...
I found Fluent Python to be a very good advanced book.

Python: Generating HTML output documentation based on Docstring [closed]

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Is there a way to easily output html documentation based on python docstrings?
If there are, how to do this? I am familiar with HTML/CSS so theming the output is not important, but if there are existing themes, they would help.
I am hoping for a process that can be repeated everytime the code is updated.
Epydoc that seems to do what you need
Sphinx is another tool that can be used to create documentation for python, it also supports C and C++.

where is olefileio_pl documentation? [closed]

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I am interested in what the olefileio_pl could be able to do (specifically I am trying to write something to a windows 7 sticky note) so I have looked around online for documentation. It doesn't seem like there is any real, detailed docs online. Is there something better then the builtin python help --olefileio_pl or help(olefileio_pl)? It seems that there is no online documentation for the module, and the online docs are typically much better than the builtin ones.
The new version 0.40 (renamed olefile) has now experimental write features, that will be completed over time: http://www.decalage.info/python/olefileio
See also http://www.decalage.info/python/olewrite
Alternatively, if your code runs on Windows, you may use the Win32 API with pywin32 for this (look for pythoncom.StgOpenStorageEx).
I also reorganized and improved the documentation, you can find it here:
https://bitbucket.org/decalage/olefileio_pl/wiki
If you have specific questions, you can contact me using this form:
http://decalage.info/contact
Philippe.

Python internals [closed]

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Can anyone please direct me to an online document or books where I can find and learn about the Python implementation in C, like this one for Perl: http://perldoc.perl.org/index-internals.html
or this book: Extending and Embedding Perl by Simon Cozen.
Are you sure you tried Googling or looking on docs.python.org before asking this question?
This is the "official" tutorial on extending the interpreter which should be a start - http://docs.python.org/extending/index.html and then there is the C API reference which should be useful while you're doing your work.
Eli has an ongoing series of posts describing the innards of the interpreter on his blog.

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