How to update python via pip

Are you looking to update Python version to the latest python version? Then this blog post will guide you with how to upgrade Python version.

List of content you will read in this article:

Python is an open-source high-level programming language that allows users to execute commands and plugins on their machine and even software from several major suppliers. It means that you can operate it on many different operating systems, including the Windows VPS Server. Python is a cross-platform programing language.

Pip is one of the best applications for Python packages installation and administration. Pip’s popularity stems from the large number of apps that use this tool. Pip enables 3rd Party package installed to manage binary packages with the quickly configured package manager. Since Python’s latest releases have piping as normal, this guide will explain how to install PIP, how to update Python version with a complete step-by-step guide.

What is PIP?

PIP is a software management framework for installing and managing Python-written program packages. It is called the ‘preferred software installer’ or ‘Pip Installs Packages.’ PIP used for Python, is a command-line interface for handling PyPI program installation. You might need to upgrade PIP if you’re using an earlier version of Python on Windows. Download the application file, open the command- line and start the installer to run PIP on Windows quickly. It will teach you how PIP is installed on Windows, how it can be modified, upgraded, and set up.

How to update Python on Windows Operating System?

Go to the Python update page and download and install the Python 3.9 installer to update the python on your windows system. You’re still undecided about which version to have. It is recommended to use the Windows x86–64 executable installer.

Python Installer (Recommended) (Screenshot from the Python Download page)

Check the «Add Python to Path» option during installation to register Python3.9 as your system’s main Python.

How To Upgrade Python on macOS?

You can download the latest version of Python for macOS from the official Python website, similar as you did on windows OS to update Python version on your system. To check it is updated to the lasted version or not follow the below-listed commands to check Python version.

Open the terminal window and type the following commands:

Then, at the bottom, add this segment.

Python 3.9 version can be checked using the following command.

How to Update Python version on LINUX?

Users can use the below listed Linux commands to upgrade Python version to the latest released version:

ppa:deadsnakes/ppa can be added to the system’s Software Sources to upgrade the machine with unsupported packages from this untrusted PPA.

$ sudo add-apt-repository ppa:deadsnakes/ppa

This command is used to update Python package.

$ sudo apt update

$ sudo apt install python3.9

Then, using the commands below, you can search the versions of your new and current Python installations:

This command will show you the following version of python installed in your system

Conclusion

We have seen how to update Python version on operating systems like Windows, Mac OS, and Linux. Follow the guide carefully to update your python software. we believe this guide fulfills your requirement though you can install the latest version successfully. Leave your comments below for your feedback and queries.

Pip Python Tutorial for Package Management

Before we begin, let’s do a quick glossary check and determine what a ‘Python package’ REALLY is. Package is a Python module which can contain other modules or recursively, other packages. It is the kind of Python package that you import in your Python code. However, this article is NOT about such packages.

So now that the meaning of ‘package’ is determined in the context of this article, let’s begin.

Be sure to check out our Intro to Python for Data Science course.

Installing Python

Well, the first step would be to actually make sure you have Python installed in your system. Ensure you can run Python from the command line. You can check this and the version of Python installed by typing:

If you get an error as below:

If you do not have Python, please go ahead and install the latest 3.x version. You can use the Hitchhiker’s Guide to Python guide to walk you through the steps.

Python Package Index

The Python Package Index (abbreviated as PyPI) and also known as the Cheese Shop is the official third-party software repository for Python. It primarily hosts Python packages in the form of archives called ‘sdists’ (source distributions) or precompiled wheels (you will see this later). In a sentence: PyPI is as a giant online repository of modules that are accepted by the Python community.

PyPI lets you submit any number of versions of your distribution to the index. If you alter the metadata for a particular version, you can submit it again and the index will be updated. PyPI holds a record for each (name, version) combination submitted. As an end-user you can search for packages by keywords or by filters against their metadata, and thus behaving as an index. Over 113,000 Python packages can be accessed through PyPI.

Why should you be aware of PyPI? Because it describes distributions packaged with ‘distutils’, as well as package data like distribution files if the package author wishes. It is also where ‘easy_install’ and ‘Pip’ search for available packages, by default (More on this coming up later).

Distutils

Distutils is the standard tool for packaging in Python. It is included in the standard library (Python 2 and Python 3.0 to 3.6). Distutils exposes two commands for submitting package data to PyPI: the register command for submitting metadata to PyPI and the upload command for submitting distribution files.

Register your package

The distutils command register is used to submit your distribution’s metadata to the index. You can invoke it with the command:

You will then be prompted to login or register to be able to submit your distribution package. You may submit any number of versions of your distribution to the index. If you alter the metadata for a particular version, you may submit it again and the index will be updated.

Upload your package

The distutils command upload pushes the distribution files to PyPI. For more details on the steps and distutils, check out this page.

Setuptools

Setuptools is a package development process library (or tool, just like Distutils) designed to facilitate packaging Python projects. It is a collection of enhancements to the Python distutils and allow you to more easily build and distribute Python distributions, especially ones that have dependencies on other packages.

Why do Setuptools and Disutils coexist?

Building and Distributing Packages

Check out the developer’s guide section to learn more about installing setuptools to build and distribute your packages. In this tutorial, let’s try to concentrate more on tools that let you manage Python packages to make your life easy.

Easy Install

Easy Install (easy_install) is a package manager for Python bundled with setuptools. It automatically downloads, builds, installs and manages Python packages for you. For download links and installation instructions for each of the supported platforms, head over to the setuptools PyPI page.

Let’s see some commands to download, install, upgrade or even delete a package using easy_install:

Install a package by name, searching PyPI for the latest version. This automatically downloads, builds, and installs the package:

Install or upgrade a package by name and version by finding links on a given download page:

Upgrade an already-installed package to the latest version listed on PyPI:

Else to upgrade to a specific version, you can type the package name followed by the required version:

If you have upgraded a package, but want to revert to a previously installed version, you can use the command:

To uninstall a package, first run the command:

Deprecated/abandoned tools

Distribute

Distribute was a fork of setuptools and merged back into setuptools 0.7. It shared the same namespace, so if you had distribute installed, import setuptools would actually import the package distributed with Distribute. You don’t need to use Distribute any more. In fact, the version available on Pypi is just a compatibility layer that installs setuptools.

Distutils2

Distutils2 was an attempt to take the best of Distutils, Setuptools and Distribute and become the standard tool included in Python’s standard library. The idea was that Distutils2 would be distributed for old Python versions, and that Distutils2 would be renamed to packaging for Python 3.3, which would include it in its standard library. These plans did not go as intended and currently Distutils2 is an abandoned project. The latest release was in March 2012, and its Pypi home page has finally been updated to reflect its death with a tl;dr: «keep using setuptools and pip for now, don’t use distutils2».

Pip is one of the most famous and widely used package management system to install and manage software packages written in Python and found in Python Package Index (PyPI). Pip is a recursive acronym that can stand for either «Pip Installs Packages» or «Pip Installs Python». Alternatively, pip stands for «preferred installer program».

Python 2.7.9 and later (on the python2 series), and Python 3.4 and later include pip (pip3 for Python 3) by default. It is an explicit replacement and indirect successor to easy_install that you saw earlier. Check out Python Packaging User Guide’s page on pip vs easy_install for a detailed discussion.

To ensure you can run pip from the command line, type:

If pip isn’t installed, you can do so through the system package manager or by invoking cURL (a client-side data transfer tool):

While you are at it, it is a good idea to update pip, setuptools and wheel:

While pip alone is sufficient to install from pre-built binary archives (the end file(s) that are ready to be executed. The output is the machine instructions that are loaded into the CPU and executed), updated copies of the setuptools and wheel projects are useful to ensure you can also install from source archives.

Let’s check out some handy commands to use pip:

To install the latest version of a package:

To install a specific version, type the package name followed by the required version:

To upgrade an already installed package to the latest from PyPI:

Uninstalling/removing a package is very easy with pip:

You can read more about the requirement files here.

Packaging Formats: Egg and Wheel

There has been a substantial amount of mentions of the two terms: ‘Python egg’ and ‘wheel’. They are both packaging formats that aim to support the use case of needing an install artifact that doesn’t require building or compilation. Building and compilations can be costly in testing and production workflows.

You can read the important differences between Wheel and Egg here.

Conda

Conda is an open source package management system and environment management system. It is maintained by Continuum Analytics. Conda can quickly install, run and update packages and their dependencies. It is also an environment manager and can easily create, save, load and switch between environments on your local computer.

This will verify that conda is installed and running on your system and displays the version number that you have installed. To update conda to the current version, type the following:

Conda allows you to to create separate environments containing files, packages and their dependencies that will not interact with other environments. When you begin using conda, you already have a default environment named base. But don’t put programs into your base environment. Rather, create separate environments to keep your programs isolated from each other. You can learn more about creating environment and managing python and python packages in Conda here.

Packaging it all up

You have been introduced to quite a lot of terminologies and tools in this tutorial. Take a break and let it all sink in. This is a general overview of all the tools there are to manage your Python packages, what you finally use depends a lot on the task at hand and the environment you are working on. In the end, there isn’t one package manager that suits everyone and you have to pick your own poison.

Be sure to check out DataCamp’s Intermediate Python for Data Science course and Python Install Pip tutorial, to learn more about Python.

How to Update All of Your Python Packages With pip Using One Simple Command

Don’t want to read and just want the solution? Click here to jump to the solution

pip doesn’t have a built-in command to update all of its packages. This is likely because it is recommended to have a virtualenv for each new project you create.

In that sort of workflow, you would be guaranteed the latest, most up-to-date packages whenever you start a project. If you’d want to upgrade those packages, you’d keep a requirements.txt file that documents all of your needed packages and you could upgrade using that.

However…

There is an increasing amount of software and command-line utilities that are built with Python.

One of my favorites is rtv, a client for the terminal that allows you to read reddit.

How to Update All pip Packages

Before you proceed: Be safe

Switch to a setup where pip install installs your packages into your home directory. Mine installs to

If you were to update system packages using pip, that would cause big problems because some Python packages are installed by your system. Any changes pip makes will be overwritten during an operating system update.

The Command

If you’re not too familiar with the command-line, that command might look a bit scary to you.

It’s actually not that complex. Here is have it does:

So…instead of this:

…These commands will run:

Saving your fingers using an alias

The command I mentioned is not fun to type if you want to update your packages often.

We can solve this with an alias. Watch this tutorial for a good overview of aliases if you’re new to it.

The Alias:

Now all you have to do is type pip-upgrade whenever you want to update your packages!

This alias works with all major shells including bash, zsh, and (my favorite) fish.

Quirk: This will not work inside a virtual environment unless…

tl;dr Copy-and-Paste Solution

Add these two aliases to your shell’s config file (bashrc, zshrc, config.fish, etc).

You can now use the command pip-upgrade to upgrade all Python packages.

When you’re inside a virtualenv, use the command pip-upgrade-venv to update all packages instead.

The end

I hope this article has saved you some time!

This method was very simple and didn’t require you to download someone’s weird, long script or a new Python package.

Leave a comment

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Three Easy Methods to Upgrade Pip to the Latest Version

In this tutorial, we will learn how to upgrade pip. This may be handy, if we, for instance, are working with old Python environments, This, in turn, may lead to that we need to upgrade to the latest version.

In this post, we will learn how to get the latest version of pip using the three methods. First, we will use pip itself, second, we will use conda, and third, we will use the graphical user interface Anaconda navigator. Moreover, in the first subsections, we are going to use Windows Command Prompt as well as pip. Of course, we could also use Windows PowerShell to run the commands we need to upgrade pip. Find out how to open the command prompt here.

Table of Contents

How to Check Pip Version

How to Upgrade pip Using pip

Now, we are going to answer the question “how to update Python pip?” and we are going to start by using pip to update pip. To upgrade pip, we open up the command prompt and type the following code:

In this section, you learned how to get a newer version of pip. This method is very similar to updating or installing any Python package using pip. Later in this post, you will learn more details e.g. how to open the command prompt. First, however, you will get some quick answers to two questions.

FAQ: Upgrading Pip

Now before we continue to getting into the details of updating pip using pip, conda, and Anaconda manager we will answer two questions that may have brought you here.

How do I upgrade PIP on Anaconda?

1) Search for the Anaconda Prompt.
First, before running conda to update pip we are going to start the Anaconda Prompt. Type “Anaconda Prompt” in the search box, down to the left in Windows 10.

2) Open the Anaconda Prompt.
Second, we are going to click on the icon for the Anaconda Prompt and run it as administrator (right-click).

How do you update PIP?

Note that, you can also use pip to install a specific version of a Python package, if you need to.

3 Steps to Upgrade Pip using Pip

Now, here’s a more detailed description of how to upgrade pip using pip. In the first step, we are going to open up the command prompt:

Step 1: Open the command prompt

In the search box, to the bottom left, type “Command Prompt”.

Note, if you are using Linux you should, of course, start up your favorite window manager instead. However, the next steps for upgrading pip are basically the same anyway.

Step 2: Right-click on the Command Prompt app

The next thing we are going to do is to click on the command prompt app. We make sure to right-click on it and run it as administrator. This way we’ll avoid any permission issues.

Obviously, if you are using linux you don’t have to right-click on the terminal window: just open it up and go to step 3).

Step 3: Upgrade pip

Now, that we the command prompt up and running we are ready to update pip. In this example, we are going to upgrade pip using pip:

That was it, now you should have upgraded pip to the latest version. In the next section, you will learn how to do the same procedure but using the package manager conda.

That was it, now we know how to upgrade pip without using pip! It was easy. Note, if your Anaconda Python distribution is in the system path, we could also have updated pip by opening the Windows Command Prompt and using the same commands as above.

How to Update Pip using Conda

In this section, we are going to learn how to upgrade pip using conda package manager. This may come in handy as many of us have installed Python using the scientific Python distribution Anaconda. That is, here we find the answer to the question “How do I upgrade PIP on Anaconda prompt?” Now, we are going to update pip by using three simple steps.

Step 1: Open Anaconda Prompt

First, we need to start up the Anaconda prompt. You can do this by clicking on the “Type here to search” field down to the left on Windows 10. In this field, you type “Anaconda prompt” and then you click on the top result (see image below).

Step 2: Update Pip

In this step, you are simply going to type conda update pip in the Anaconda Prompt.

How to Upgrade Pip Using Anaconda Navigator: 5 Steps

In this final section, we are going to learn how to update pip using Anaconda Navigator. Using this method to upgrade pip is good if we don’t want to use the command prompt but rather use a GUI.

Step 1: Open Anaconda Navigator

First, we start up the Anaconda Navigator. It can be done by typing “Anaconda Navigator” in the search box, in the lower-left corner (see the examples above). We just need to click on “Environments” on the left part of Anaconda Navigator.

Step 3: Find Pip

In the second step, we scroll down to find pip in the list of Python packages:

Step 3: Choose Pip

Third, when we have found pip we click on the green check-mark as we can see that there is an update available for pip:

Step 4: Mark for Update

Fourth, after we have clicked on the green mark we will get a drop-down menu. Obviously, as we are going to upgrade pip we will choose “Mark for update”:

Step 5: Click Apply to Upgrade Pip

Finally, we are ready to update pip using Anaconda Navigator. In the bottom right corner, there will now be to buttons. We are going to press the green button with the text “Apply”:

Voila! The package pip, or any other Python package, should now be upgraded to the latest version! Updating pip using Anaconda Navigator was quite easy as well.

Many times we need to upgrade Python packages and this can, of course, be done using both pip and conda. Check out the recent post about upgrading Python packages.

Обновить пакет Python

Каждое программное обеспечение, созданное в этом мире, время от времени требует регулярной проверки, чтобы исправить ошибки и максимально использовать это программное обеспечение. Как и любое другое программное обеспечение, программное обеспечение Python также необходимо время от времени исправлять и обновлять. В Python есть множество встроенных пакетов и модулей, которые время от времени нужно обновлять. Это потому, что в них постоянно добавляется множество функций и встроенных функций. Другая причина в том, что устаревшие пакеты могут не поддерживать последнюю версию Python.

В этом руководстве будут продемонстрированы некоторые методы обновления пакета в Python.

Используйте pip для обновления пакета Python

Чтобы обновить пакеты Python через командную строку компьютера, выполните следующие команды.

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Опять же, pip или pip3 могут отличаться от одной операционной системы к другой.

Используйте блокнот Jupyter для обновления пакета Python

Блокнот Jupyter также можно использовать для обновления пакетов Python. Ниже приводится команда для выполнения этой задачи:

Используйте виртуальную среду для обновления пакетов Python

Используйте среду pipenv для обновления пакетов Python

Это один из самых простых способов обновления пакетов, для которых не требуется конкретная версия Python в конкретной виртуальной среде.

Инструмент pipenv помогает пользователю создать виртуальную среду из собственного проекта Python, предоставляя все необходимые средства.

Ниже приведены шаги по обновлению пакетов Python с помощью pipenv :

Активируйте оболочку, в которую входят все пакеты, которые нужно обновить.