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1. Pip is the preferred installer program. Starting with Python 2.7.9, it is included by default with the Python binary installers. A virtual environment is a semi-isolated Python environment that allows packages to be installed for use by a particular application, rather than being installed system wide.
2. ActiveState has assessed the following CVE's impacting Python 2 to-date. Fixes have been issued for Python 2.7.18 as part of our Python 2 support options. CVE-2020-11655 Package Impacted: SQLite prior to 3.31.1 Severity: High. CVE-2020-6802 Package Impacted: Bleach prior to 3.11 Severity: Medium. CVE-2020-8492 Package Impacted: urllib.
3. 2018-04-16 - Matthias Klose python-defaults (2.7.15rc1-1) unstable; urgency=medium. Bump version to 2.7.15rc1. debian/control.in (Michael Vogt): - add Cnf-Visible-Pkgname hint to ensure command-not-found recommends installing 'python' instead of 'python-minimal' when it is missing. 2017-12-13 - Matthias Klose python-defaults (2.7.14-4).

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Portable Python Contains + Python 2.7 from Python.org + PyScripter IDE + Python PIP Package Installed Requirements + Windows XP - May work haven't tested. + Windows 7 or above All Packages are made using 7zip. I'm new to python. I'm working on MacOS and I have python 2.7.15. I'm trying to get input from the user: #these two rows do not execute at the same time, it's just an example:) annee = rawinp.

Contents

Short Descriptions

Stackless-Python is an enhanced version of the Python® programming language[1].It allows programmers to reap the benefits of thread-based programming withoutthe performance and complexity problems associated with conventional threads.The microthreads that Stackless adds to the Python® programming language are a cheap and lightweightconvenience, which if used properly, can not only serve as a way to structurean application or framework, but by doing so improve program structure andfacilitate more readable code.

If you are reading this text as part of a version of a Python® interpreter you have installed,then you have installed Stackless-Python rather than standard Python®[2].

Overview / API¶

Unless actual use is made of the enhanced functionality that Stackless addsto standard Python®, Stackless will behave exactly the same as standard Python® would and is usedin exactly the same way. This functionality is exposed as a frameworkthrough the stackless module.

• stackless — The built-in extension module
  • Tasklets — Lightweight threads
  • Channels — Communication between tasklets
  • The scheduler — How tasklets are run
  • Debugging and Tracing — How Stackless differs
  • Threads — Threads and Stackless
• Stackless-Python C-API

What you need to know¶

Stackless-Python provides a minimal framework and it is not accompanied by anysupport functionality, that would otherwise address the common needs that mayarise when building a more targeted framework around it.

Blocking operations¶

When operations are invoked that block the Python® interpreter, the user needsto be aware that this inherently blocks all running tasklets. Until the taskletthat engaged that operation is complete, the Python® interpreter and thereforescheduler is blocked on that operation and in that tasklet. Operations thatblock the interpreter are often related to synchronous IO (file readingand writing, socket operations, interprocess communication and more), althoughtime.sleep() The last broadcast movie trailer. should also be kept in mind. The user is advised to chooseasynchronous versions of IO functionality.

Some third-party modules are available that replace standard libraryfunctionality with Stackless-compatible versions. The advantage of thisapproach is that other modules which use that standard functionality,also work with Stackless when the replacement is installed. TheStackless socketmodule is the most commonly used replacement module.

Exceptions¶

Imovie ios guide. Certain exceptions that may occur within tasklets, are expected to reach allthe way up the call stack to the scheduler. This means that naively usingthe except statement may result in hard to track down problems.

A description of the problem with bare except statements can be read inthe documentation for the TaskletExit exception.

Debugging¶

The Stackless scheduling mechanism changes the way the Python® debugging hookswork so that debugging hooks are set per-tasklet rather than per-thread.However, very few debuggers, certainly none of those in the standard librarytake this into account. As a result of this, debugging is unlikely to workwith special handling being worked into your use of Stackless.

A description of this problem can be read in the Stackless debuggingdocumentation.

External resources¶

There are a range of resources available outside of this document. However most of them arenowadays quite dated:

• The Stackless mailing list.
• The Stackless examples project.
• Grant Olson's tutorial: Introduction to Concurrent Programming with Stackless Python.

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History¶

History¶

Continuations are a feature that require the programming language they arepart of, to be implemented in a way conducive to their presence. In order toadd them to the Python® programming language, Christian Tismer modified itextensively. The primary way in which it was modified, was to make it Stackless.And so, his fork of standard Python® was named Stackless-Python.

Now, storing data on the stack locks execution on an operating system thread tothe current executing functionality, until that functionality completes and thestack usage is released piece by piece. In order to add continuations to standard Python®,that data needed to be stored on the heap instead, therefore decoupling theexecuting functionality from the stack. With the extensive changes this requiredin place, Christian released Stackless Python.

Maintaining the fork of a programming language is a lot of work, and when theprogramming language changes in ways that are incompatible with the changes inthe fork, then that work is sigificantly increased. Over time it becameobvious that the amount of changes to standard Python® were too much weight to carry,and Christian contemplated a rewrite of Stackless. It became obvious that asimpler approach couldbe taken, where Stackless was no longer stackless and no longer had continuations.

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Following the rewrite, a framework was designed and added inspired by coming fromCSP and the Limbo programminglanguage. From this point on, Stackless was in a state where it contained theminimum functionality to give the benefits it aimed to provide, with theminimum amount of work required to keep it maintained.

A few years later in 2004, while sprinting on Stackless in Berlin, Christian andArmin Rigo came up with a way totake the core functionality of Stackless and build an extension module that providedit. This was the creation of greenlets, which are very likely a more populartool than Stackless itself today. The greenlet source code in practice can beused as the base for green threading functionality not just in the Python® programming language, but inother programming languages and projects.

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With Stackless-Python a solid product, Christian's focus moved onto otherprojects, PyPy among them. One of his interests in PyPy wasa proper implementation of the Stackless functionality, where it could beintegrated as a natural part of any Python® interpreter built. Cloudtv 3 7.

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For a while, Stackless-Python languished, with no new versions to match thereleases of standard Python® itself. Then in 2006, CCP sent Kristján Valur Jonsson andRichard Tew to PyCon where they sprintedwith the aid of Christian Tismer. The result was an up to date release of Stackless-Python.From this point in time, maintaining and releasing Stackless-Pythonhas been undertaken by Richard and Kristján. A few years later Anselm Kruisjoined the team.