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...algorithms to Python objects Goal: Implementation of interfaces for the application of C++ Standard Template Library algorithms and boost algorithms to Python objects, such as Python lists, tuples, strings and Python objects that support the buffer interface. Python LONG support Python provides an arbitrary-precision LONG integer type which is not currently supported by Boost.Python. Goal: Addition of an interface to Python LONGs which allows them to be direct...
...algorithm¶ The source code for the md5 module contains the following notice: Copyright (C) 1999, 2002 Aladdin Enterprises. All rights reserved. This software is provided 'as-is', without any express or implied warranty. In no event will the authors be held liable for any damages arising from the use of this software. Permission is granted to anyone to use this software for any purpose, including commercial applications, and to alter it and redistribute it freely, subject to...
...algorithms is usually much more efficient. Nexedi found the GNU Linear Programming Kit (GLPK) to be a good starting point for ERP5's linear programming needs. GPLK is written in C, and interfacing it to Python was achieved in only a couple of hours using the SWIG glue libraries. Nexedi now distributes a Python GLPK module, python-glpk, which provides the power of linear programming in Python. Conclusion The ERP5 abstract model has been found to reduce development costs by an order of magnitude...
...algorithms. More pleasant surprises were in store for us. Until we used Python, we were not aware of what a difference programming in such a readable language would make. Some of us already had extensive experience programming in other interpreted dynamically typed languages. We believed, at the time, that Python's reputation as a good language for rapid development rested solely on the fact that it is intepreted and dynamically typed. But by programming in Python we became more productive than ...
...algorithms that use a dictionary as a bag of "to do" items and repeatedly need to pick one item. Such algorithms normally end up running in quadratic time; using popitem() they can usually be made to run in linear time. Standard library In the time module, the time argument to the functions strftime, localtime, gmtime, asctime and ctime is now optional, defaulting to the current time (in the local timezone). The ftplib module now defaults to passive mode, which is deemed a more us...
...algorithms, extracting documentation from code at runtime, applying design-by-contract development methods, and in building various types of meta-classes. For almost every programming task, Python makes it not only possible but quite easy to build meta-code where one might otherwise end up building gobs of manually crafted code. 6) Faster development and deeper prototyping -- Python increases speed of development to the point where prototyping can be integrated into and interleaved with the prim...
...algorithm design. To counteract this effect, ABC's designers went back to basics. They set out to design a language and an environment for that language that would take care of all the incidentals, leaving the student more time to learn what's essential in programming independent of the programming language at hand, such as clear control flow and powerful data structures, and focusing on the elegant expression of programs. They proposed both a new language design and new terminology tha...
...algorithm design. To counteract this effect, ABC's designers went back to first principles. They set out to design a language and an environment for that language that would take care of all the incidentals, leaving the student more time to learn what's essential in programming independent of the programming language at hand, such as clear control flow and powerful data structures, and focusing on the elegant expression of programs. They proposed both a new language design and new termino...
...algorithm was switched from right-to-left to left-to-right, which is more efficient for small bases. In addition, if the exponent is large, the algorithm now does 5 bits (instead of 1 bit) at a time. That cut the time to compute 17**1000000 on my box in half again, down to about 4.5 seconds. OverflowWarning is no longer generated. PEP 237 scheduled this to occur in Python 2.3, but since OverflowWarning was disabled by default, nobody realized it was still being generated. On the chance that ...
...algorithm is now used. This is most effective if the inputs have roughly the same size. If they both have about N digits, Karatsuba multiplication has O(N**1.58) runtime (the exponent is log_base_2(3)) instead of the previous O(N**2). Measured results may be better or worse than that, depending on platform quirks. Besides the O() improvement in raw instruction count, the Karatsuba algorithm appears to have much better cache behavior on extremely large integers (starting in the ballpark of a ...
...Algorithms Implementation" workshop happening in Erode, India in 2020 Approved 6-0-0, February 18, 2020 RESOLVED, that the Python Software Foundation Grants Work Group grant $550 USD to the Django Girls event happening in Abidjan, Côte d'Ivoires March 21, 2020 Approved 6-0-0, February 18, 2020 RESOLVED, that the Python Software Foundation Grants Work Group grant $500 USD to the Django Girls event happening in Bangalore, India April 04, 2020 Approved 6-0-0, February 18, 2020 RESOLVED, tha...
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