The Simple Guide to Python Packages and How They Can Boost Your Development Efforts

Write python codes more quickly with python packages

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Originally Published on: Oct. 11, 2021 Last Updated on: Aug. 3, 2022
The Simple Guide to Python Packages and How They Can Boost Your Development Efforts

The Simple Guide to Python Packages and How They Can Boost Your Development Efforts

Introduction: What is a Python Package and Why Should You Use Them in Your Program?

A Python module is a file that contains prebuilt coded mechanisms that solves a particular coding problem, this can be a DateTime converter script, Image processing modules that allows you to process Images by simply using the APIs provided by the module, Complex Web Frameworks like Django, Flask, Tornado are nothing but python modules. Python modules can contain functions, classes, and other features that help to reduce the amount of duplicated code you have so you can write more quickly and efficiently.

Python modules are very easy to use and they help you organize your program. They also help with debugging because they allow you to more easily identify where errors are. They're also very fast for coding, which will really improve your programming skills.

These packages for the most part open-source so all the benefits of open-source projects such as code transparency, security, and regular updates are a part of these packages.

How to Install Python packages for your python programs.

To find and install python packages the python community mostly uses PyPi (Python Package Manager).

A python package manager is a program that helps us find, download and install packages. You can consider it as an official repository for all python modules. It can help us find modules that we need to complete our programming project. It makes it easier for developers to share and use code.

pip3 is a package management system (Python) which is the standard method of installing python modules that simplifies the process of installing and upgrading Python packages. pip3 is a command-line utility that is coupled with Python that allows developers to install python packages published on PyPi into their own project.

It is designed to be used with 3rd-party modules that can be pulled from any of the public channels available in PyPI, which are automatically downloaded and installed on pip's local cache when they are not found in the user's environment or in their configurable channel.

The pip3 command has three flavors: "install", "upgrade", "remove".

The install command installs one or more packages for this user by downloading them from PyPI and extracting them to a temporary location on disk. The upgrade command upgrades all installed packages to the newest available version.

pip3 install django

Pip is also an option for this, but it isn’t recommended as it is more likely to break with newer versions of Python, and it doesn’t support some command-line arguments that pip3 does.

There are some things to consider whenever you choose a python package for your project.

  1. Make sure the PyPI website has the package documentation website listed.
  2. The PyPI website should have a ReadMe or description section.
  3. The Github page of the package should show regular updates.
  4. The issues tab in the package’s GitHub page should have active moderators who are answering the question.
    • You can confirm this by viewing the latest solved issue in the package’s GitHub issue tab.

Conclusion

Python is a dynamic object-oriented programming language that lets you work more quickly and integrate your systems more effectively. Python can be used in a variety of applications from web development to data science. It has grown rapidly in the last few years due to its simplicity and versatility, enabling programmers to build everything from text processing scripts for mass data analysis to highly scalable web applications along with everything in between, including web scraping modules.

Some of the modules available can solve big industrial problems, there are

  1. Data science modules
  2. Project management modules
  3. Web scraping modules
  4. Natural language processing modules
  5. AI ML modules
  6. Date Time modules
  7. Image processing modules
  8. Signal processing modules
  9. Complex Math and Physics modules

Imagine the sheer amount of coding efforts, time, and resources these modules can take if you code them from scratch. Because of the python package manager, you can use these pre-built modules to improve your efficiency and productivity while enjoying a great cup of coffee.

 

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