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- Python download package install#
- Python download package mod#
- Python download package code#
- Python download package windows#
Python download package windows#
pygame-1.9.1release.zip ~ 1.5M - source/docs/examples in windows format.pygame-1.9. ~ 1.4M - source/docs/examples in unix format.
Python download package install#
Wheel packages are also available on PyPI, and may be installed by running pip install wheel 1.9.1 Packages (August 6th 2009) Source Wheel packages are also available on PyPI, and may be installed by running pip install wheel 1.9.3 Packages (January 16th 2017) Source This is a source only release, because the source pygame-1.9.4.tar.gz release contained build artifacts. Here, there is a directory named pkg that contains two modules, mod1.py and mod2.py.Not sure what to download? Read the Installation Notes. In the same way that modules help avoid collisions between global variable names, packages help avoid collisions between module names.Ĭreating a package is quite straightforward, since it makes use of the operating system’s inherent hierarchical file structure. Packages allow for a hierarchical structuring of the module namespace using dot notation. You might wish for a means of grouping and organizing them. This is particularly so if they have similar names or functionality. As the number of modules grows, it becomes difficult to keep track of them all if they are dumped into one location. Suppose you have developed a very large application that includes many modules.
Python download package mod#
> import mod a = > import mod > import importlib > importlib.
Python download package code#
(One of the tenets in the Zen of Python is Namespaces are one honking great idea-let’s do more of those!)įunctions, modules and packages are all constructs in Python that promote code modularization. Scoping: Modules typically define a separate namespace, which helps avoid collisions between identifiers in different areas of a program. This eliminates the need to duplicate code. Reusability: Functionality defined in a single module can be easily reused (through an appropriately defined interface) by other parts of the application.
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(You may even be able to make changes to a module without having any knowledge of the application outside that module.) This makes it more viable for a team of many programmers to work collaboratively on a large application. If modules are written in a way that minimizes interdependency, there is decreased likelihood that modifications to a single module will have an impact on other parts of the program. Maintainability: Modules are typically designed so that they enforce logical boundaries between different problem domains. This makes development easier and less error-prone. If you’re working on a single module, you’ll have a smaller problem domain to wrap your head around. Simplicity: Rather than focusing on the entire problem at hand, a module typically focuses on one relatively small portion of the problem. There are several advantages to modularizing code in a large application: Individual modules can then be cobbled together like building blocks to create a larger application.
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Modular programming refers to the process of breaking a large, unwieldy programming task into separate, smaller, more manageable subtasks or modules. This article explores Python modules and Python packages, two mechanisms that facilitate modular programming. Watch it together with the written tutorial to deepen your understanding: Python Modules and Packages: An Introduction Watch Now This tutorial has a related video course created by the Real Python team.