How To Update Packages In Anaconda3 On Prompt

2. HowTo
3. Python How-To's
4. Update a Python Package

Update a Python Package

Created: May-28, 2021 | Updated: July-13, 2021

1. Apply pip to Update a Python Packet
2. Use the Jupyter Notebook to Update a Python Packet
3. Use a Virtual Environs to Update Python Packages
4. Use pipenv Environment to Update Python Packages

Every software built in this world needs a routine check from time to time to set up bugs and make the most of that software. Just like every software, Python software as well needs to be fixed and updated from time to time. In Python, at that place are a lot of born packages and modules that demand updating now and then. Information technology is because a lot of features and built-in functions keeps on calculation in them. Another reason is that packages that are way too much outdated may not support the latest version of Python.

This tutorial will demonstrate some methods to update a package in Python.

Use pip to Update a Python Package

To update python packages through the command line of the figurer, run the following commands.

              pip install --upgrade [package name]==[package version or latest parcel version]                          

There might exist some cases where the user might have to use pip3 instead of pip.

One more manner of updating a Python package in Linux is through the post-obit control.

              sudo pip install [package_name] --upgrade                          

Again, pip or pip3 might vary from one operating system to another.

Using sudo is a more secure way to operate in the command-line as information technology asks the system password before performing the action.

Apply the Jupyter Notebook to Update a Python Package

Jupyter notebook is a free-of-cost, open-source web application that allows a user to code in Python and performs tasks like data visualization, auto learning, etc. It comes under a graphic user interface (GUI) called the Anaconda Navigator that helps launch such web applications and manage its packages and modules simultaneously.

Jupyter notebook can too exist used to update Python packages. Following is the command to carry out this job:

              !pip install <package_name> --upgrade                          

Use a Virtual Environs to Update Python Packages

This method is used to update those packages that do non require a specific version of Python in a virtual surroundings. The python code used in this method uses the pip command.

The pkg_resources module is used in this method. This module helps in finding and manipulating Python packages and versions.

Another module called subprocess is used in this method that helps a user to get and run new programs by getting new processes. This module is generally used for replacing old versions of modules.

              import pkg_resources from subprocess import call  for p in pkg_resources.working_set:     call("python -m pip install --upgrade " + p.<projectname>, shell=True)                          

Use pipenv Environment to Update Python Packages

This is one of the easiest ways to update packages that do not require a specific Python version in a specific virtual surroundings.

pipenv tool helps a user make a virtual surround of its own python project by providing all the necessary ways.

Post-obit are the steps to update python packages using pipenv :

Activate the trounce that comprises all the packages to be updated

              pipenv beat                          

Now Update all packages:

              pipenv update                          

Write for us

DelftStack articles are written past software geeks like you. If yous likewise would like to contribute to DelftStack past writing paid articles, you can bank check the write for usa page.

Source: https://www.delftstack.com/howto/python/python-update-package/

Posted by: sancheznotheity.blogspot.com

Share this post