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Ok, I am not sure I want to use Request Tracker and RTFM, which is a possible solution.
I'd like to have a knowledge base with my bug tracker/todo list , so that when
I solve a problem, I would have a record of its resolution for myself or others later.
What python based solutions are available?
A highly flexible issue tracker in Python I would recommend is "Roundup":
http://roundup.sourceforge.net/.
An example of its use can be seen online at http://bugs.python.org/.
Try Trac
I do have experience using probably 20-30 different bug trackers, installed or hosted and so far if you are up to deal with a big number of bugs and you want to spend less time coding-the-issues-tracker, to get Atlassian Jira, which is free for open-source projects.
Yes, it's not Python, it is Java, starts slowly and requires lots of resources. At the same time, RAM is far less expensive than your own time and if you want to extend the system you can do it in Python by using https://pypi.python.org/pypi/jira-python/
Do you think that Jira is the most used bug tracker for no reason? It wasn't the first on the market, in fact is quite new compared with others.
Once deployed you can focus on improving the workflows instead of patching the bug tracker.
One of the best features that it has is the ability to link to external issues and be able to see their status, without having to click on them. As an warning, for someone coming from another tracekr you may discover that there are some design limitations, like the fact that a bug can have a single assignee. Don't be scared about it, if you look further you will find that there are way to assign tickets to groups of peoples.
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This is perhaps not the right place to ask this question but I was unsure where else to go with it. My MSc dissertation is aimed at trying to use parallel computing to speed up stochastic biology simulations. I've written some standard format code for parallelisation of the simulations.
This code works on 7 out of 9 of my simulations but seems to get stuck when using pool.map on the other two.
Due to working form home etc and hardware/software constraints the only opperating systems I have available to me are Windows Subsystem for Linux and Windows powershell (which I've both tried). One thing my supervisor suggested is that this issue might be related to my operating system and that Windows might not be as good at parallelisation as Linux. But I'm struggling to find any hard evidence to back this up.
So is anyone aware of any papers or links to other posts that might provide a bit information about whether or not a Windows OS has issues with Python parallel processing?
Cheers
I don't know about formal papers, but have had a lot of practical success using dask from dask.org So whether this is a good answer depends a lot on whether you just want results, or whether you're doing deep research.
I and my team began using dask about a year ago for parallelizing large Pandas/numpy jobs that were taking hours to run (if they didn't run out of memory). Using dask, we were able to cut these down to minutes with successful (i.e., identical) results.
Lots of RAM still recommended, but the parallelization capabilities and process dashboard/feedback is a great step forward.
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What are the best (more or less mature, supporting more advanced logic, having acceptable performance, scalable to some extent) open source Semantic Web libraries and tools (RDF storage, reasoning, rules, queries) for Python nowadays? Historically Python tools (cwm) were among the first to appear, but it still seems that everyone uses Java back-ends for performance and Python as mere client if at all. My purpose is to learn the technology and maybe some future use in production system if it proves itself up to the task. The task is not yet defined, but as I see it its building a knowledge base, linked with some external resources, and customized facet-navigable web front-end.
If some building blocks based on Python are not good enough, then what is the suitable piece from Java/C/C++/whatever world.
Typical stack is also of interest, if there are one or two clear winners.
Thanks.
A survey of of Python libraries and tools for Semantic Web programming is available here. It includes libraries for working with RDF as well as Python-friendly triple stores.
Toby Segaran's book Programming the Semantic Web also has a lot of programming examples in Python.
You could check out the pyswip. It could work with the SWI-Prolog. Wish it would fit for requirement. :)
To name some, check out RDFLib and CubicWeb.
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I am looking for an object database for Python (no handmade pickles :D).
What are my options (besides the obvious ZODB)?
Dobbin. Somewhat similar to ZODB, but much simpler. It looks nice but I haven't tried it myself. I haven't been able to find much information about it. It has been at version 0.2 for over a year. I don't know if it is still being actively maintained, if it is reliable enough for mission-critical applications.
From the description on the site, the main difference between Dobbin and other object databases is that persisted objects are read-only unless they are explicitly "checked out". This may make dealing with objects a little trickier, but it may make the database faster and more memory-efficient.
MongoDB perhaps comes close - not object oriented but document-oriented and coming close to object databases.
handmade shelves? ;-)
Durus?
SqlAlchemy? it's not an object database, but chances are that you could use it
Check PersistenceTools on the python.org wiki, which mentions a few that might count. (the DatabaseProgramming page also mentions Matisse under "Non-relational Databases", I don't know it, just mention it because for some reason, it's not included on that other page)
DyBASE by Konstantin Knizhnik who developed a lot of embedded databases for multiple programming languages. It has transactions and indices. There are tests in the distribution and I use it myself for persisting elements in a Python Queue. My example is also available at github as python-persistence-queue
Cog:
Seems not updating for a long time.
itamarst.org/software/cog
And this is a paper on 6th International Python conf. about object database.
https://legacy.python.org/workshops/1997-10/proceedings/shprentz.html
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Can I program 8051 using Python?
I'm not getting any of the to program 8051 in python environment.
If anybody knows, please help me.
There is Python-on-a-Chip, but note its "disclaimer":
"The PyMite VM DOES NOT HAVE:
A built-in compiler
Any of Python's libraries (no batteries included)
A ready-to-go solution for the beginner (you need to know C and how to work with microcontrollers)"
Thus, if the questioner's goal for python was to avoid dealing with the strangeness of the 8051, this may not help.
In particular, the 8051 is a "Harvard" style architecture, with separate RAM and ROM codespaces, and with very limited internal RAM, and larger external RAM that can be accessed only via loading the special DPTR register and then reading or writing indirectly, plus there's no external RAM stack support, nor intrinsic support for stack-based variables. Thus, most "general purpose" high-level languages need lots of customization and reworking to run on the 8051.
A good 8051-specific C-compiler can hide many of these low-level details, but you wind up burning lots of cycles to do things that are single instructions on desktop CPUs and even on most newer embedded controller architectures, and even if you can live with that level of in-efficiency, you still need to sort out the various memory spaces and other specifics.
So, getting Python to work on the 8051 is likely to be a challenging project for someone deeply familiar with its quirky architecture. If your goal is to dump a python onto the 8051 to avoid needing to learn these quirks, I'm not sure that is possible. (But, I suppose the C compilers keep getting better and better...)
Python-on-a-Chip looks about as close as you're going to get. It can run on some things that are just a bit beefier than the 8051.
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I want to develop a desktop application framework in Python, much like QT, but how to go about it? Any tutorials or links related to it would be helpful!
There is so many great freameworks like wxPython (Tutorial), PyQt (Tutorial), PyGtk (Tutorial) already.
You just need to try your favorite one.
You can get a pretty comprehensive list of Gui programming frameworks for Python here, http://wiki.python.org/moin/GuiProgramming
Well the best way to start is to look at the source code of the framework the other answers are talking about.
First, try to use them all to build the same application with the functionalities you expect from a framework. Them, look at how it works under the hood.
Secondly, build your framework, starting by writing your first widgets, then notice the problems with your current architecture, and re factor. Start again, until you have something stable and usable.
Eventually, find out this was nice as training experience, but useless as a contribution to the software communities since you will never reach out the qualities of existing tools.
Then give up and try to code your own MMORPG.
theres WxPython tutorial http://www.wxpython.org/tutorial.php
or PyQt http://zetcode.com/tutorials/pyqt4/
or the ever stylish Tk http://www.pythonware.com/library/tkinter/introduction/