When you install Python on macOS or Windows and follow our recommendations, pip installs with the interpreter. On Ubuntu, you have to install it separately with this command:
Running pip
You can call pip directly with the pip command, but it is better to use a longer one. It guarantees to bring up the latest installed pip version for the desired version of Python.
So, let us call pip:
When showing its version, pip also tells you where it locates and what version of Python it runs on.
Note the structure of the command we called. This command means «python3, run the -m module named pip as a program with the --version parameter».
If you later see commands like pip help in the pip documentation, you can call python3 -m pip help. The result will be the same.
Installing your first package
Let us try to install our first package. We will take the cowsay, which we will install directly in the user environment.
There are several reasons for installing it there:
- We do not interfere with other users of the system with our packages
- We do not need administrator privileges
- We cannot ruin the operating system by accidentally installing a newer package than the system requires. It is crucial in Linux, where Python handles many system tasks
So, let us install cowsay:
We installed the package and made it available to the interpreter. Now we see what it does. It prints a cow that says a user-defined phrase.
The --user flag in the pip install install command tells pip that we want to install the package in the global environment of the current user.
If we do not specify this flag, the pip will install the package in the system-wide environment. Try not to do things that would interfere with other users.
The pip, entry points, and PATH
As we saw above, we can use the cowsay package from the code. But this package also has an entry point.
Entry points are ready-to-execute programs contained in a package. If it has entry points, the pip will create an executable script for each one, which allows you to run the program from the shell conveniently.
You should pay attention to the path to the directory where the pip puts such scripts. For example, it is ~/.local/bin in Linux. We should add this path to PATH.
We check the contents of PATH. If we gave the path correctly, the script for cowsay should work like this:
Entry points are executable files — Python modules we can run as a program. We will look at how to create them later. The pip calls python3 -m module_name and creates scripts. In the same way, we can run the cowsay script we installed:
Updating the pip
As you may have already guessed, pip itself is also the entry point of the eponymous pip package, so we run it with the command python3 -m pip.
You also need to update the pip periodically. You can install a fresh pip in the user environment with this command:
The --upgrade flag will update an already installed package if it can find a newer version in the index.
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<div id="app" data-page="{"component":"web/courses/lessons/theory_unit","props":{"errors":{},"locale":"en","language":"en","httpsHost":"https://hexlet.io","host":"hexlet.io","colorScheme":"light","auth":{"user":{"id":null,"last_viewed_notification_id":null,"email":null,"state":null,"first_name":"","last_name":"","current_program":null,"current_team":null,"full_name":"","guest":true,"can_use_paid_features":false,"is_hexlet_employee":false,"sanitized_phone_number":"","can_subscribe":true,"can_renew_education":false}},"cloudflareTurnstileSiteKey":"0x4AAAAAAA15KmeFXzd2H0Xo","vkIdClientId":"51586979","yandexIdClientId":null,"formAuthToken":"Inkca9MnlSpHoTAqz8MLegfrMhhthjJOZcpYvRZYxz1xv3Fd8kyuyiCrz8J9XTy7C0G8Q6GYKELHT5KuW4QY5g","topics":[],"lesson":{"exercise":null,"units":[{"id":9039,"name":"theory","url":"/courses/python-setup-environment/lessons/getting-pip/theory_unit"}],"links":[{"id":423520,"name":"The Executing Programs lesson (the `PATH` variable)","url":"https://hexlet.io/courses/cli-basics/lessons/execution/theory_unit"},{"id":423521,"name":"The Python Package Installer (pip)","url":"https://pip.pypa.io"}],"ordered_units":[{"id":9039,"name":"theory","url":"/courses/python-setup-environment/lessons/getting-pip/theory_unit"}],"id":4007,"slug":"getting-pip","state":"approved","name":"Installing pip","course_order":510,"goal":"Learning how to install pip and download the first package","self_study":null,"theory_video_provider":null,"theory_video_uid":null,"theory":"When you install Python on macOS or Windows and follow our recommendations, pip installs with the interpreter. On Ubuntu, you have to install it separately with this command:\n\n```bash\nsudo apt update\nsudo apt install python3-pip\n```\n\n## Running pip\n\nYou can call pip directly with the `pip` command, but it is better to use a longer one. It guarantees to bring up the latest installed pip version for the desired version of Python.\n\nSo, let us call pip:\n\n```bash\npython3 -m pip --version\n\npip 20.0.2 from /usr/lib/python3/dist-packages/pip (python 3.8)\n```\n\nWhen showing its version, pip also tells you where it locates and what version of Python it runs on.\n\nNote the structure of the command we called. This command means «`python3`, run the `-m` module named `pip` as a program with the `--version` parameter».\n\nIf you later see commands like `pip help` in the pip documentation, you can call `python3 -m pip help`. The result will be the same.\n\n## Installing your first package\n\nLet us try to install our first package. We will take the [cowsay](https://pypi.org/project/cowsay), which we will install directly in the user environment.\n\nThere are several reasons for installing it there:\n\n- We do not interfere with other users of the system with our packages\n- We do not need administrator privileges\n- We cannot ruin the operating system by accidentally installing a newer package than the system requires. It is crucial in Linux, where Python handles many system tasks\n\nSo, let us install cowsay:\n\n[](https://asciinema.org/a/J6SrwiEtKE9KkiintoiJVORUx)\n\nWe installed the package and made it available to the interpreter. Now we see what it does. It prints a cow that says a user-defined phrase.\n\nThe `--user` flag in the `pip install` install command tells pip that we want to install the package in the global environment of the current user.\n\nIf we do not specify this flag, the pip will install the package in the system-wide environment. Try not to do things that would interfere with other users.\n\n## The pip, entry points, and PATH\n\nAs we saw above, we can use the cowsay package from the code. But this package also has **an entry point**.\n\nEntry points are ready-to-execute programs contained in a package. If it has entry points, the pip will create an executable script for each one, which allows you to run the program from the shell conveniently.\n\nYou should pay attention to the path to the directory where the pip puts such scripts. For example, it is `~/.local/bin` in Linux. We should add this path to `PATH`.\n\nWe check the contents of `PATH`. If we gave the path correctly, the script for cowsay should work like this:\n\n[](https://asciinema.org/a/fPFXueVdamnGSHjwzufkRC8wb)\n\nEntry points are **executable files** — Python modules we can run as a program. We will look at how to create them later. The pip calls `python3 -m module_name` and creates scripts. In the same way, we can run the cowsay script we installed:\n\n[](https://asciinema.org/a/KQ57jOcfzObqYwos8SwdOvK0j)\n\n## Updating the pip\n\nAs you may have already guessed, pip itself is also the entry point of the eponymous pip package, so we run it with the command `python3 -m pip`.\n\nYou also need to update the pip periodically. You can install a fresh pip in the user environment with this command:\n\n```bash\npython3 -m pip install --user --upgrade pip\n```\n\nThe `--upgrade` flag will update an already installed package if it can find a newer version in the index.\n"},"lessonMember":null,"courseMember":null,"course":{"start_lesson":{"exercise":null,"units":[{"id":9030,"name":"theory","url":"/courses/python-setup-environment/lessons/intro/theory_unit"}],"links":[],"ordered_units":[{"id":9030,"name":"theory","url":"/courses/python-setup-environment/lessons/intro/theory_unit"}],"id":3998,"slug":"intro","state":"approved","name":"Introduction","course_order":100,"goal":"Getting to know the course and its goals","self_study":null,"theory_video_provider":null,"theory_video_uid":null,"theory":"Hexlet designs most of its courses in a way that allows students to do all the work directly in the browser. This approach helps you to focus on the assignments. But it can create a false understanding of what is going on.\n\nThe first steps in learning to program are about setting up the environment. And for many people, installation, and configuration is more complicated than writing code. The sooner you start playing around with your code, the faster you'll progress and be able to write real applications and complete coding tasks!\n\nSpeaking of assignments, we at Hexlet maintain [a list of testing assignments] (https://github.com/Hexlet/test-assignments) from various companies. We recommend that you use it as a guide. It would be perfect if you could do at least one or two on your GitHub account as part of your learning. It will give you confidence and show that you can do something. There's another benefit: employers can check out your GitHub account and look at the code.\n\nIn this course, we'll install and configure Python, learn about the Poetry package manager, how to link third-party libraries, and how to make your code available to the public. You will apply what you've learned in this course to your first Python project.\n\nBefore you begin the course, make sure that you:\n\n* Use a development-friendly operating system, such as Ubuntu or MacOS. If you use Windows, set up your operating system according to [these instructions] (https://learn.microsoft.com/en-us/windows/wsl/install)\n* Know how to run a terminal and execute commands in it. To refresh your knowledge, you can take the [Command Line Basics course](https://hexlet.io/courses/cli-basics)\n* Are familiar with the basics of GIT\n\n<!-- -To review this topic, here's [A Video on the Git Development Cycle](https://www.youtube.com/watch?v=ku3Mg_XCsAo)-. -->\n\n## The environment\n\nWorking with the command line, setting up the environment, and interacting with the operating system is a big part of any programmer's job in any language. It determines the efficiency of debugging, the ability to handle problems independently, and even the quality of the code.\n\nWhen programmers get their first job, they try to run the projects locally on their computers. The more complex the project is, the more different skills are needed, such as knowledge of networking, ports, IP addresses, builders, and virtualization with Docker. In some organizations, the setup can take up to a week. And that's assuming the programmer is skilled enough.\n\nLearning your language's ecosystem is an ongoing and unpredictable process. Endlessly confusing error messages are a common thing. Constantly searching Google for answers is also the norm. We've all been there.\n\nWhy does this happen? An ecosystem is a zoo of programs, operating systems, and hardware features that are cleverly intertwined. Everything is so individual that almost every programmer has a unique situation.\n\nThat's why there are thousands of articles about installing Python. And from the comments on these articles, you can see that not everyone is having a good time, and users continue to run into errors at every step.\n\nOver time, you'll get the hang of setting up the environment and find that it's not such a complicated process. The only important thing to remember is that it is better not to try to solve problems by trial and error. Instead, try to figure out the causes of the difficulties you encounter. It is the only way to grow as a developer.\n"},"id":360,"slug":"python-setup-environment","challenges_count":0,"name":"Python: Setting up the environment","allow_indexing":true,"state":"approved","course_state":"finished","pricing_type":"paid","description":"In this course, you will learn how to set up an environment. You will learn about virtual environments, the standard pip package manager, and the alternative Poetry manager. You will learn how to create conflict-free dependencies for your programs, run programs locally, and create install files with entry points. You will learn how to create a project and link libraries to it. The knowledge you gain from this course will help you organize your local environment intelligently and use best practices for managing your code. This course is a must for anyone who wants to learn how to program in Python. 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On Ubuntu, you have to install it separately with this command:</p>
<div style="margin-bottom:var(--mantine-spacing-lg)" class="m_e597c321 mantine-CodeHighlight-codeHighlight" dir="ltr"><div class="m_be7e9c9c mantine-CodeHighlight-controls"><button style="--ai-bg:transparent;--ai-hover:transparent;--ai-color:inherit;--ai-bd:none" class="mantine-focus-auto mantine-active m_d498bab7 mantine-CodeHighlight-control m_8d3f4000 mantine-ActionIcon-root m_87cf2631 mantine-UnstyledButton-root" data-variant="none" type="button" aria-label="Copy code"><span class="m_8d3afb97 mantine-ActionIcon-icon"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M8 8m0 2a2 2 0 0 1 2 -2h8a2 2 0 0 1 2 2v8a2 2 0 0 1 -2 2h-8a2 2 0 0 1 -2 -2z"></path><path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2"></path></svg></span></button></div><div style="--scrollarea-scrollbar-size:calc(0.25rem * var(--mantine-scale));--sa-corner-width:0px;--sa-corner-height:0px" class="m_f744fd40 mantine-CodeHighlight-scrollarea m_d57069b5 mantine-ScrollArea-root" dir="ltr"><div style="overflow-x:hidden;overflow-y:hidden;overscroll-behavior-inline:none" class="m_c0783ff9 mantine-ScrollArea-viewport" data-scrollbars="xy"><div class="m_b1336c6 mantine-ScrollArea-content"><pre class="m_2c47c4fd mantine-CodeHighlight-pre" style="padding:0"><code class="m_5caae6d3 mantine-CodeHighlight-code">sudo apt update
sudo apt install python3-pip</code></pre></div></div></div><button class="mantine-focus-auto m_c9378bc2 mantine-CodeHighlight-showCodeButton m_87cf2631 mantine-UnstyledButton-root" data-hidden="true" type="button">Expand code</button></div>
<h2 id="heading-2-1">Running pip</h2>
<p>You can call pip directly with the <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">pip</code> command, but it is better to use a longer one. It guarantees to bring up the latest installed pip version for the desired version of Python.</p>
<p>So, let us call pip:</p>
<div style="margin-bottom:var(--mantine-spacing-lg)" class="m_e597c321 mantine-CodeHighlight-codeHighlight" dir="ltr"><div class="m_be7e9c9c mantine-CodeHighlight-controls"><button style="--ai-bg:transparent;--ai-hover:transparent;--ai-color:inherit;--ai-bd:none" class="mantine-focus-auto mantine-active m_d498bab7 mantine-CodeHighlight-control m_8d3f4000 mantine-ActionIcon-root m_87cf2631 mantine-UnstyledButton-root" data-variant="none" type="button" aria-label="Copy code"><span class="m_8d3afb97 mantine-ActionIcon-icon"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M8 8m0 2a2 2 0 0 1 2 -2h8a2 2 0 0 1 2 2v8a2 2 0 0 1 -2 2h-8a2 2 0 0 1 -2 -2z"></path><path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2"></path></svg></span></button></div><div style="--scrollarea-scrollbar-size:calc(0.25rem * var(--mantine-scale));--sa-corner-width:0px;--sa-corner-height:0px" class="m_f744fd40 mantine-CodeHighlight-scrollarea m_d57069b5 mantine-ScrollArea-root" dir="ltr"><div style="overflow-x:hidden;overflow-y:hidden;overscroll-behavior-inline:none" class="m_c0783ff9 mantine-ScrollArea-viewport" data-scrollbars="xy"><div class="m_b1336c6 mantine-ScrollArea-content"><pre class="m_2c47c4fd mantine-CodeHighlight-pre" style="padding:0"><code class="m_5caae6d3 mantine-CodeHighlight-code">python3 -m pip --version
pip 20.0.2 from /usr/lib/python3/dist-packages/pip (python 3.8)</code></pre></div></div></div><button class="mantine-focus-auto m_c9378bc2 mantine-CodeHighlight-showCodeButton m_87cf2631 mantine-UnstyledButton-root" data-hidden="true" type="button">Expand code</button></div>
<p>When showing its version, pip also tells you where it locates and what version of Python it runs on.</p>
<p>Note the structure of the command we called. This command means «<code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">python3</code>, run the <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">-m</code> module named <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">pip</code> as a program with the <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">--version</code> parameter».</p>
<p>If you later see commands like <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">pip help</code> in the pip documentation, you can call <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">python3 -m pip help</code>. The result will be the same.</p>
<h2 id="heading-2-2">Installing your first package</h2>
<p>Let us try to install our first package. We will take the <a style="text-decoration:underline" class="mantine-focus-auto m_849cf0da m_b6d8b162 mantine-Text-root mantine-Anchor-root" data-underline="hover" href="https://pypi.org/project/cowsay" rel="noopener noreferrer" target="_blank">cowsay</a>, which we will install directly in the user environment.</p>
<p>There are several reasons for installing it there:</p>
<ul>
<li>We do not interfere with other users of the system with our packages</li>
<li>We do not need administrator privileges</li>
<li>We cannot ruin the operating system by accidentally installing a newer package than the system requires. It is crucial in Linux, where Python handles many system tasks</li>
</ul>
<p>So, let us install cowsay:</p>
<p><a style="text-decoration:underline" class="mantine-focus-auto m_849cf0da m_b6d8b162 mantine-Text-root mantine-Anchor-root" data-underline="hover" href="https://asciinema.org/a/J6SrwiEtKE9KkiintoiJVORUx" rel="noopener noreferrer" target="_blank"><img style="--image-object-fit:contain;width:auto" class="m_9e117634 mantine-Image-root" src="https://asciinema.org/a/J6SrwiEtKE9KkiintoiJVORUx.svg" alt="asciicast" loading="lazy"/></a></p>
<p>We installed the package and made it available to the interpreter. Now we see what it does. It prints a cow that says a user-defined phrase.</p>
<p>The <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">--user</code> flag in the <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">pip install</code> install command tells pip that we want to install the package in the global environment of the current user.</p>
<p>If we do not specify this flag, the pip will install the package in the system-wide environment. Try not to do things that would interfere with other users.</p>
<h2 id="heading-2-3">The pip, entry points, and PATH</h2>
<p>As we saw above, we can use the cowsay package from the code. But this package also has <strong>an entry point</strong>.</p>
<p>Entry points are ready-to-execute programs contained in a package. If it has entry points, the pip will create an executable script for each one, which allows you to run the program from the shell conveniently.</p>
<p>You should pay attention to the path to the directory where the pip puts such scripts. For example, it is <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">~/.local/bin</code> in Linux. We should add this path to <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">PATH</code>.</p>
<p>We check the contents of <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">PATH</code>. If we gave the path correctly, the script for cowsay should work like this:</p>
<p><a style="text-decoration:underline" class="mantine-focus-auto m_849cf0da m_b6d8b162 mantine-Text-root mantine-Anchor-root" data-underline="hover" href="https://asciinema.org/a/fPFXueVdamnGSHjwzufkRC8wb" rel="noopener noreferrer" target="_blank"><img style="--image-object-fit:contain;width:auto" class="m_9e117634 mantine-Image-root" src="https://asciinema.org/a/fPFXueVdamnGSHjwzufkRC8wb.svg" alt="asciicast" loading="lazy"/></a></p>
<p>Entry points are <strong>executable files</strong> — Python modules we can run as a program. We will look at how to create them later. The pip calls <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">python3 -m module_name</code> and creates scripts. In the same way, we can run the cowsay script we installed:</p>
<p><a style="text-decoration:underline" class="mantine-focus-auto m_849cf0da m_b6d8b162 mantine-Text-root mantine-Anchor-root" data-underline="hover" href="https://asciinema.org/a/KQ57jOcfzObqYwos8SwdOvK0j" rel="noopener noreferrer" target="_blank"><img style="--image-object-fit:contain;width:auto" class="m_9e117634 mantine-Image-root" src="https://asciinema.org/a/KQ57jOcfzObqYwos8SwdOvK0j.svg" alt="asciicast" loading="lazy"/></a></p>
<h2 id="heading-2-4">Updating the pip</h2>
<p>As you may have already guessed, pip itself is also the entry point of the eponymous pip package, so we run it with the command <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">python3 -m pip</code>.</p>
<p>You also need to update the pip periodically. You can install a fresh pip in the user environment with this command:</p>
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