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PyPy7.1.1 by PyPy Team |
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Software Description:
PyPy was developed as a fast, open source, and compliant alternative implementation of the Python programming language. PyPy is highly compatible with existing python code. It supports ctypes and can run popular python libraries like twisted and django. ...
type: Open Source
Download PyPycategories: Python implementation, JIT compiler, application development, development, JIT, develop Add to Download Basket Report virus or spyware |
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| Software Info | |
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Best Vista Download periodically updates pricing and software information of PyPy full version from the publisher,
but some information may be out-of-date. You should confirm all information. Software piracy is theft, using crack, warez passwords, patches, serial numbers, registration codes, key generator, keymaker or keygen for PyPy license key is illegal and prevent future development of PyPy. Download links are directly from our mirrors or publisher's website, PyPy torrent files or shared files from rapidshare, yousendit or megaupload are not allowed! |
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| Released: | July 21, 2019 |
| Filesize: | 26.10 MB |
| Platform: | Windows XP, Windows Vista, Windows Vista x64, Windows 7, Windows 7 x64, Windows 8, Windows 8 x64, Windows 10, Windows 10 x64 |
| Install | Instal And Uninstall |
| Add Your Review or Windows Vista Compatibility Report |
PyPy- Releases History |
| Software: | PyPy 7.1.1 |
| Date Released: | Jul 21, 2019 |
| Status: | New Release |
| Release Notes: | Improve performance of u''.append Prevent a crash in zlib when flushing a closed stream Fix a few corner cases when encountering unicode values above 0x110000 Teach the JIT how to handle very large constant lists, sets, or dicts Fix building on ARM32 (issue 2984) Fix a bug in register assignment in ARM32 Package windows DLLs needed by cffi modules next to the cffi c-extensions (issue 2988) Cleanup and refactor JIT code to remove rpython.jit.metainterp.typesystem Fix memoryviews of ctype structures with padding, (cpython issue 32780) CFFI updated to as-yet-unreleased 1.12.3 |
| Software: | PyPy 2.6.0 |
| Date Released: | Jun 9, 2015 |
| Status: | New Release |
| Release Notes: | ssue2005: ignore errors on closing random file handles while importing a module (cpython compatibility) issue2013: added constants to _ssl for TLS 1.1 and 1.2 issue2014: Add PyLong_FromUnicode to cpyext. issue2017: On non-Linux-x86 platforms, reduced the memory impact of creating a lot of greenlets/tasklets. Particularly useful on Win32 and on ARM, where you used to get a MemoryError after only 2500-5000 greenlets (the 32-bit address space is exhausted). |
| Software: | PyPy 2.5.1 |
| Date Released: | Jun 18, 2014 |
| Status: | New Release |
| Release Notes: | The past months have seen pypy mature and grow, as rpython becomes the goto solution for writing fast dynamic language interpreters. Our separation of Rpython and the python interpreter PyPy is now much clearer in the PyPy documentation and we now have seperate RPython documentation. Tell us what still isn’t clear, or even better help us improve the documentation. We merged version 2.7.9 of python’s stdlib. From the python release notice: The entirety of Python 3.4’s ssl module has been backported. See PEP 466 for justification. HTTPS certificate validation using the system’s certificate store is now enabled by default. See PEP 476 for details. |
Most popular develop faster in Compilers & Interpreters downloads for Vista |
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Visual Assist X 2024.3 download by Whole Tomato Software, Inc.
... simplifies navigation and displays vital information as you develop new software. Visual Assist X boosts productivity with powerful editing features integrated into your Microsoft development environment. FEATURES: · Type Code Faster ...
type: Trialware ($99.00)
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categories: visual assistant, codewriting tools, programming assistant, visual, code, write |
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PyPy 7.1.1 download by PyPy Team
... to its Just-in-Time compiler, Python programs often run faster on PyPy. (What is a JIT compiler?) Memory usage: large, memory-hungry Python programs might end up taking less space than ...
type: Open Source
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categories: Python implementation, JIT compiler, application development, development, JIT, develop |
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