Check the version of Python package/library
- Get the version in Python script: __version__ attribute.
- Check with pip command. List installed packages: pip list. List installed packages: pip freeze. Check details of installed packages: pip show.
- Check with conda command: conda list.
the major version
How do I determine pip package version?
To check which version of a given package is installed, use the pip show
What is __ version __ in Python?
Many modules in the standard library use __version__, and this is also used in lots of 3rd-party modules, so it’s the quasi-standard. Usually, __version__ is a string, but sometimes it’s also a float or tuple.
How do I check pip version in Python?
- Check PIP version: C:\Users\Your Name\AppData\Local\Programs\Python\Python36-32\Scripts>pip –version.
- Download a package named ‘camelcase’:
- Import and use ‘camelcase’:
- Uninstall the package named ‘camelcase’:
- List installed packages:
How do you check if a Python module is installed?
How to Check if Python module is installed? You can use pip commands with grep command to search for any specific module installed on your system. For instance, you can also list out all installed modules with the suffix “re” in the module name.
How do I install a specific version of a python package?
- To install the latest version of a package: >>pip install ‘PackageName’
- To install a specific version, type the package name followed by the required version: >>pip install ‘PackageName==1.4’
- To upgrade an already installed package to the latest from PyPI: >>pip install –upgrade PackageName.
How do I check my TF version?
Check TensorFlow Version in Virtual Environment
- Step 1: Activate Virtual Environment. To activate the virtual environment, use the appropriate command for your OS: For Linux, run: virtualenv
- Step 2: Check Version. Check the version inside the environment using the python -c or pip show command.
How do I check my Jupyter package version?
Check Python Module Version
- Use the __version__() Method to Find the Version of a Module in Python.
- Use the importlib.metadata Module to Find the Version of a Module in Python.
- Use the pkg_resources Module to Find the Version of a Module in Python.
- Use the pip show Command to Find the Version of a Module in Python.
How do I find the version of a Python project?
If you want to version the main, or whole program you could add a __version__ string somewhere at the top of your __init__.py file and import this string into you setup.py when generating packages. This way you wouldn’t have to manually edit multiple files and setup.py could be left mostly untouched.
How do I list installed packages in pip?
To do so, we can use the pip list -o or pip list –outdated command, which returns a list of packages with the version currently installed and the latest available. On the other hand, to list out all the packages that are up to date, we can use the pip list -u or pip list –uptodate command.
Does Python 3.7 have pip?
Your pip command would have gone from using Python 3.8 to Python 3.7. But when you use python -m pip with python being the specific interpreter you want to use, all of the above ambiguity is gone.
How do I see what packages are installed in Python environment?
Start the Anaconda Navigator application. Select Environments in the left column. A dropdown box at the center-top of the GUI should list installed packages. If not, then select Installed in the dropdown menu to list all packages.
How do you update a package in Python?
Show activity on this post.
- Via windows command prompt, run: pip list –outdated You will get the list of outdated packages.
- Run: pip install –upgrade It will upgrade the and uninstall the previous version.
How do I find out what modules are in a python package?
We can also use the inspect module in python to locate a module. We will use inspect. getfile() method of inspect module to get the path. This method will take the module’s name as an argument and will return its path.
How do I know which packages are installed in Anaconda?
After opening Anaconda Prompt or the terminal, choose any of the following methods to verify:
- Enter conda list. If Anaconda is installed and working, this will display a list of installed packages and their versions.
- Enter the command python.
- Open Anaconda Navigator with the command anaconda-navigator.
How to check Python version the proper way?
How to locate a Python package?
How to build your very first Python package?
Check the version of Python package/library
- Published on: 2019-09-20 / Python is a kind of programming language. This article discusses how to determine the version of Python packages (libraries) and modules that are being used in scripts, as well as the version of Python packages that are being used in the environment. In a Python script, you may get the version number: versionattribute
- Use the pip command to verify. pip list displays a list of all the packages that have been installed.
- List the packages that have been installed: pip freeze
- Pip display may be used to see the details of the packages that have been installed.
- Check with conda command: conda list
If you want to know what version of Python you’re running, check out the following article. Check the Python version from the command line as well as in the script.
Get the version in Python script:versionattribute
- The versionattribute function may be used to determine the version of a package that is being used in a Python script. pandas as a pd print file import (pd. version) The 0.22.0 versionattribute is encouraged by PEP (Python Enhancement Proposals), and it is present in a large number of packages. PEP 396 – Module Version Numbers | Python.org
- PEP 8 – Style Guide for Python Code | Python.org
- PEP 396 – Module Version Numbers | Python.org
- PEP 396 – Module Version Numbers | Python.org
- It should be noted that the versionattribute is not required, and so some packages do not have it. Along with the versionattribute, there are packages that give functions and characteristics that show additional information, such as a version number. Check the NumPy version with np.version
- check the Pandas version with pd.show versions
- and check the Python version with pd.version.
It should be noted that the version of standard library modules such as math and os is not set. Modules in the standard library do not have their own versions; instead, they are based on the current Python version.
Check with pip command: pip list, pip freeze, pip show
The standard library modules, such as math and os, do not have version information set. There are no separate versions of modules in the standard library; instead, they are based on the Python version number.
List installed packages: pip list
Pip list gives a list of the names and version numbers of the packages that have been installed.$ pip list PackageVersion – – absl-py0.1.10 agate1.6.0 agate-dbf0.2.0 agate-excel0.2.1 agate-sql0.5.2 appnope0.1.0 absl-py0.1.10 agate-dbf0.2.0 absl-py0.1.10 absl-py0.1.10 absl-py0.1.10 absl-py There are four different display styles to choose from: legacy, columns, freeze, and json, among others.It can be set in the pip configuration file pip.conf or with the -formatoption flag in the pip command line.There are a number of settings that may be utilized with pip list.-format Format the display according to your preferences (columns, freeze, json)
- -o, -outdated
- List only out-of-date packages
- -u, -uptodate
- List only the latest packages
For further information, please see the following article. With pip list/freeze, you can see all of the Python packages that are currently installed.
List installed packages: pip freeze
- Pip freeze command provides a list of installed package names and version numbers in freeze format. pip freeze at $ absl-py==0.1.10 agate==1.6.0 agate-dbf==0.2.0 agate-excel==0.2.1 agate-sql==0.5.2 appnope==0.1.0 absl-py==0.1.10 agate==1.6.0 agate-dbf=0.2.0 agate-excel==0.2.1 agate-sql==0.5. It is important to note that the difference between pip freeze and pip list -format freeze is that pip freeze does not by default display any of the following package management tools: If you provide the -all option, the whole list will be shown. setuptools
It is possible to install packages in a particular version in a batch if the output is saved as text in freeze format. Installing Python packages using pip and requirements.txt is described in detail here.
Because it is not necessary to identify package management tools such as pip for such purposes, pip freeze does not show them by default.
Check details of installed packages: pip show
Pip show is a command that displays extensive information about a particular package.Additional information, such as dependent packages and homepages, is presented in addition to the version information.$ pip display pandas a list of pandas Pandas are given this name.Version: 0.22.0, with a brief summary: Data structures provide a lot of power for data analysis, time series, and statistics Home-page: The PyData Development Team is the author; the author’s email address is [email protected] is the license for this work.Site-packages are located at /usr/local/lib/python3.6/site-packages.
- Python-dateutil, pytz, and numpy are required.
Check with conda command: conda list
If you have used Anaconda to create a Python environment, the command conda list will display a list of the packages that have been installed in the current virtual environment. You may use conda list -n to see whether the environment has not been enabled yet.
Assuming that you have the Python package management pip installed on your computer’s operating system, continue reading (Windows, Linux, macOS). What is the best way to determine its version?
Method 1: pip show
The pip show command may be used to determine which version of a specific package is currently installed.Using pip show numpy on your command line or Powershell (Windows), or terminal (macOS and Linux/Ubuntu), you may determine the version of your NumPy installation or virtual environment, for example.Pip 1.3 or above is required for this to operate, which is likely to be the case for you given that pip 1.3 was first released in 2013!?Take a look at this example in my Windows PowerShell; notice how I’ve highlighted the line which indicates that the package version is 1.21.0: pip show numpy C:Usersxcent pip show numpy Numpy is his given name.Version number: 1.21.0 Summary: NumPy is the foundational package for array computation in the Python programming language.Home-page: Authors: Travis E.
- Oliphant and colleagues Author’s email address: None BSD is the license for this work.
- Site-packages are stored in the following location: c:usersxcentappdatalocalprogramspythonpython39libsite-packages Requires: pandas and matplotlib are required by this function.
- Depending on your environment, this may or may not work in some cases.
- Then, before giving up, try the following commands: PS C:Usersxcent> python -m pip display numpy python PS: python3 -m pip show numpy C:Usersxcent> python3 -m pip show numpy Python -m pip display numpy C:Usersxcent C:Usersxcent Of course, you should replace ″numpy″ with the name of your unique package.
Method 2: pip list
The pip show command may be used to determine what version of a specific package is currently installed.Using pip show numpy on your command line or Powershell (Windows) or terminal (macOS and Linux/Ubuntu) will allow you to see the version of your NumPy installation or virtual environment, for example.Pip 1.3 or above is required for this to operate, which is likely to be the case for you given that it was launched a decade ago in 2013!?Take a look at this example in my Windows PowerShell; notice how I’ve highlighted the line which indicates that my package version is 1.21.0: PS: C:Usersxcent> pip show numpy is a Python script.Numpy is a fictional character.1.21.0 is the current version.
- Summary: Array computation using Python is made possible by NumPy, which is a core library.
- Home-page: the authors (Travis E.
- Oliphant and colleagues) There isn’t an author’s email address listed.
- BSD is the license.
- Python39libsite-packages is located in the following directory: c:usersxcentappdatalocalprogramspythonpython39python39libsite-packages.
- Requires: Pantas and Matplotlib are also required.
- According on your surroundings, this may or may not work in some cases.
- To avoid giving up, try out these commands: PS C:Usersxcent> python -m pip display numpy numpy NumPy -m pip show numpy python3 -m pip show numpy python3 -m pip show numpy python3 -m pip show numpy PS C:Usersxcent> py -m pip display numpy numpy Replace ″numpy″ with the name of the package that you’re using, obviously.
Method 3: Check Package Version in Your Python Script
Alternative methods include checking your package installation in your Python script by first importing the library with import your package and then calling print(your package.version) once importing the library is complete.The package version for the majority of packages will be printed with this command.However, because it is not mandatory for Python packages to give theversionattribute, it is not 100 percent trustworthy in all situations.numpy print(numpy.version) 1.21.0 import numpy print(numpy.
Method 4: importlib.metadata.version
The version(your package name string) method in the importlib.metadata package provides a more generic approach to verify the package version in your Python script than the version(your package name string) function.A string representation of the specified version will be returned when the function is called.For example, in my present Windows system, importlib.metadata.version(‘numpy’) yields the version 1.21.0 of the Python programming language.import importlib.metadata print(importlib.metadata.version(‘numpy’)) import importlib.metadata print(importlib.metadata.version(‘numpy’)) 1.21.0
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How to check version of python modules?
- You also receive pip, the Python package manager, as part of the Python installation. You may obtain the latest versions of Python modules by using the pip package manager. If you wish to see a list of all the Python modules that are currently installed, together with their version numbers, use the following command: pip freeze at $ You will receive the following output: the versions of asn1crypto=0.22.0, astroid ==1.5.2, attrs==16.3.0, Automat=0.5.0, backports.functools-lru-cache=1.3, and cffi=1.10.0 are all available. On *NIX machines, you may use the grep command to find the version number for each line in the output. $ pip freeze | grep PyMySQL is one example of this. PyMySQL==0.7.11 Instead of grep, you may use findstr on a Windows computer. As an illustration: PyMySQL==0.7.11 PyMySQL==0.7.11 PS C:> pip freeze | findstr PyMySQL==0.7.11 If you need to know the version of a module within a Python script, you may obtain this information by using theversionattribute of the module. It should be noted that not all modules provide the aversionattribute. In the following example, import pylint >>> pylint. version ‘1.7.1’ Published on the 19th of December, 2017 at 13:35:54. In this section: How To Check MySQL Version
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How to check if python package is latest version programmatically?
The code below calls the package with an unavailable version, such as pip install package name==random, when the package is not available.The call returns all of the versions that are currently available.The most recent version is read by the application.After that, the program runs pip display package name, which returns the current version of the package in question.It returns True if it finds a match, and False if it does not discover a match.Given that it is based on pip import subprocess import, this is a dependable choice to consider.
- system definition check(name): latest version = str(subprocess.run(, capture output=True, text=True)) latest version = latest version latest version = latest version latest version latest version is the same as latest version latest version = latest version.replace(‘ ‘,″).
- latest version = latest version.replace(‘ ‘,″).
- split(‘,’) current version = str(subprocess.run(, capture output=True, text=True)) current version = current version current version = current version current version = current version current version = current version.replace(‘ ‘,″) current version.replace(‘ ‘,″) if latest version == current version: return the current version True otherwise, return False
Edit 2021: The code below no longer works with the new version of pip
The following code makes use of pip list -outdated to complete the task: subprocess for importing check(name): import sys def check(name): [reqs = subprocess.check output() outdated packages =for r in reqs.split()] [reqs = subprocess.check output() outdated packages =for r in reqs.split()] outdated packages will return the name of the package.
How to List Installed Python Packages
PIP List -outdated is invoked in the following code block: subprocesses that are imported checking the value of check(name): import sys def Reqs = subprocess.check output() outdated packages =for r in reqs.split()] [reqs = subprocess.check output() outdated packages =for r in reqs.split()] in outdated packages, return the name
List Installed Packages with Pip
Both pip list and pip freeze will return a list of the packages that have been installed; the results will be presented in a different format.Keep in mind that pip list will provide a list of ALL of the packages that have been installed (regardless of how they were installed).Pip freeze, on the other hand, will only display the packages that have been installed by Pip.As an illustration: PackageVersion – – absl-py0.7.0 was returned by pip list.freezing of pip The following is the output: absl-py==0.7.0
List Packages in a Console with Pip
In either case, a list of installed packages will be generated, but the results will be presented in a slightly different way.Take note that pip list will provide a list of ALL the packages that are currently installed (regardless of how they were installed).Pip freeze, on the other hand, will only display the packages that Pip has installed.As an illustration, consider: PackageVersion – – absl-py0.7.0 is returned by pip list.freezing a pip absl-py==0.7.0 is returned as the result of the calculation.
List Modules in a Console without Pip
- You may use the following command to display a list of all installed modules from a python prompt without using pip: >>> help (″modules″) It should be noted that there are certain disadvantages to taking this strategy, including: This technique can take a long time to import each module before it can scan the path of that module for sub-modules if there are a large number of packages loaded.
- Modules that include code that is not contained within an ifname== ″ main ″: code block, and in which user input is required, may cause the code to enter an endless loop or hang.
List Installed Packages with Pipenv
A pipfile.lock file may be generated in a pipenv environment using the pipenv lock -r command, which can be used to create output.The result will provide a complete list of all packages, including their dependencies.As an illustration: lock pipenv using the -r switch Output: -icertifi==2019.11.28 chardet==3.0.4 idna==2.9 requests==2.23.0 urllib3==1.25.8 chardet==3.0.4 idna==2.9 requests==2.23.0
List Installed Packages with Anaconda Navigator
- For Anaconda Navigator to display a list of the packages currently installed in an Anaconda environment, perform the following steps: Begin by launching the Anaconda Navigator application.
- Environments can be found in the left-hand column.
- A dropdown box should be located in the center of the GUI’s top bar, listing all of the packages that have been installed. To see all of the packages that have been installed, click Installed from the dropdown menu.
List Installed Packages with Conda
Using the conda list command, you may see a complete list of all the packages in your conda environment: conda list is an abbreviation for Conda List. The following is the output: packages in the environment at C: \ The following are the requirements for Anaconda2 4.3.1: _license1.1 py27 1 alabaster 0.7.9py27 0
Globally vs Locally Installed Packages
In order to list all packages in a conda environment, use the conda list command as follows: list of conda Packages in the environment are located in C: \ Py27 1 and alabaster are both included in Anaconda2 4.3.1. 0.7.9py27 0
List Installed Packages with the ActiveState Platform
Run the following command on the command line to get a list of Python packages that have been installed in your currently active project that is built on the ActiveState Platform: state Bundle deals for shows The result contains a complete list of all of the packages that have been installed in your current project: matplotlib, numpy, and pandas are examples of programming languages.scikit-learn scipy is a Python library that allows you to learn new things.Through the ActiveState Platform’s Web-based graphical user interface (GUI), you may acquire a comprehensive software bill of materials view of all packages, dependencies, transitives dependents (i.e., dependencies on dependencies), OS-level dependencies, and shared libraries (for example, OpenSSL).
Check Python Module Version
- Python How-To’s
- Check Python Module Version
Date of creation: April 5, 2021
- In Python, theversion () method may be used to determine the version of a module.
- In Python, the importlib.metadata Module may be used to determine the version of a module.
- In Python, the pkg resources Module may be used to determine the version of a module.
- In Python, the pip display command may be used to determine the version of a module.
When installing Python modules, it is generally recommended that you use the pip command.We can do this because the pip command allows us to specify the exact version of the module that we want to install when we run it.The modules are updated on a regular basis.New functions and features are introduced on a regular basis, and some are deprecated as well, which might result in mistakes if one is not aware of the changes that have occurred.This makes knowing what version of the module is installed very critical to successful operation.In this lesson, we’ll go through how to check for the version of a module in the Python programming language.
Use theversion () Method to Find the Version of a Module in Python
Typically, theversion () method is connected with the majority of modules, and it is responsible for exposing the module’s version.In the following example, import numpy print(numpy.version) Output:1.16.5 However, it is not recommended that you choose this strategy.The first thing to note is that version () is a magic method that is not intended to be called explicitly.Second, not every module has this characteristic that can tell you what version it is running at the moment.There is now an importlib.metadata module, which has the version() method, which is available in Python v3.8 and above.
- It is the version of the provided module that will be returned by this function.
- For example, from importlib metadata import version print(version(‘numpy’)) from importlib metadata import version Output:1.16.5 We may also use the import metadata module to import data into Python versions older than 2.7.
Use the pkg_resources Module to Find the Version of a Module in Python
Ordinarily, theversion () method is connected with the majority of modules, allowing the user to see which version of the module is currently in use.In the following example: import numpy print(numpy.version) Output:1.16.5.This strategy, on the other hand, is not recommended.The first thing to note is that version () is a magic technique that is rarely invoked explicitly.For the second time, not every module contains this characteristic that allows you to determine its version number.
- There is now an importlib.metadata module, which has the version() method, which is available in Python v3.8 and beyond.
- The version of the provided module will be returned by this function.
- If you want to output the version number from importlib metadata, you may do so by using print(version(‘numpy’)).
- Output:1.16.5 If you’re using an earlier version of Python, you may alternatively use the import metadata module.
Use the pip show Command to Find the Version of a Module in Python
Alternatively, we can use the pip display command to find out more about a single package that includes its version by specifying the package name and version number.pip show numpy is a Python script that displays numpy.It is important to note that pip needs be updated to accommodate this.Write a piece for us DelftStack articles are written by people who are passionate about software.If you would want to contribute to DelftStack by writing paid articles, you can learn more about how to do so by visiting the write for us page.
Related Article – Python Module
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Standard way to embed version into Python package?
- Despite the fact that there is no standard mechanism to handle versioning, setuptools is the normal way to manage your packages. The best option I’ve discovered for maintaining versions is to utilize setuptools with the pbr extension, which is the greatest solution overall. This has been my normal method of version management. Even if setting up your project for complete packaging may be overkill in the case of basic projects, if you want version control, you are most likely at the appropriate level to simply configure everything. This also makes your package available on PyPi, where it may be downloaded and used by anybody who has Pip installed. It is possible to utilize PBR to remove most metadata from the setup.py tools and into the setup.cfg file, which is then used as a source for most metadata, including version information. This allows the metadata to be packed into an executable using something like pyinstaller if necessary (in which case you will most likely want this information), and it separates the metadata from the other package management/setup scripts in the project. You may manually update the version string in setup.cfg, and the updated string will be pulled into the *.egg-info folder when your package releases are being built and released. Your scripts will then be able to retrieve the version information from the metadata in a variety of ways (these processes are outlined in sections below). When utilizing Git as your VCS/SCM, this configuration is even better since it will pull in a lot of the metadata from Git, allowing your repo to serve as your primary source of truth for parts of the metadata, such as version, authors, changelogs, and so on. For more information, see the Git documentation. In the case of version, it will generate a version string for the current commit based on the git tags present in the repository. PyPA – Packaging Python Packages with SetupTools – Tutorial
- PBR latest build usage documentation – How to setup an 8-line setup.py and a setup.cfg file with the metadata
- PyPA – Packaging Python Packages with SetupTools – Tutorial
- PyPA – Packaging Python Packages with SetupTools – Tutorial
- PyPA – Packaging Python Packages with SetupTools – Tutorial
- PyPA – Packaging Python Packages with SetupTools
Because PBR will grab the version, author, changelog, and other information straight from your git repository, part of the metadata in setup.cfg may be skipped and will be produced automatically whenever a distribution for your package is formed (using setup.py)
Get the current version in real-time
Setuptools will retrieve the most up-to-date information in real time by running setup.py: python setup.py -version This will get the most recent version from either the setup.cfg file or the git repo, depending on the most recent commit that was made and the tags that are currently present in the repo. This command, on the other hand, does not change the version of a distribution.
Updating the version metadata
When you build a distribution with setup.py (for example, by running py setup.py sdist), all of the current information will be retrieved and placed in the distribution you’ve created.This effectively executes the setup.py -version script and then saves the version information into the package.egg-info folder, which contains a collection of files that include distribution metadata, in the package.egg-info folder.
Note on process to update version meta-data:
You may simply update your setup.cfg file with the latest version information if you are not using pbr to fetch version data from git as described above (easy enough, but make sure this is a standard part of your release process).If you are using git and you do not need to create a source or binary distribution (using the python setup.py sdist or one of the python setup.py bdist xxx commands), the simplest way to update the git repo information into your.egg-info metadata folder is to simply run the python setup.py install command.If you are using git and you do not need to create a source or Running this command will perform all of the PBR functions related to pulling metadata from the git repository and updating your local.egg-info folder, installing script executables for any entry-points you have defined, and performing other functions that will be visible in the output when you run this command.Notably, because it may be created from your source code, the.egg-info folder is normally omitted from being kept within the GitHub repository itself in conventional Python.gitignore files (such as those generated by Gitignore.IO).If it is omitted, ensure that you have a proper ″release procedure″ in place to ensure that the metadata is updated locally before releasing, and that any package you upload to PyPi.org or otherwise distribute must contain this data in order to have the right version information.If you want this information to be included in the Git repository, you may exclude particular files from being ignored (for example, by adding!*.egg-info/PKG INFO to the.gitignore file).
Accessing the version from a script
It is possible to get information from the current build from within Python scripts that are included in the package itself.According to the information I’ve gathered so far, there are numerous approaches to create a version: This one is a new built-in as of Python 3.8.0 and should eventually replace importlib as the de facto standard.metadata version v0 = version import version v0 (″mypackage″) print(‘v0 ‘.format(v0)) print(‘v0 ‘.format(v0)) print(‘v0 ‘.format(v0) This one does not sit well with me because the version mechanism is concealed.use the setuptools v1 import pkg resourcespart = pkg resources.needs resources (″mypackage″).version print(‘v1 ‘.format(v1)) version print(‘v1 ‘.format(v1)) The output sans is probably the best option for pre-v3.8.0 systems.version is just a larger string that contains both the package name and a space, as well as the string representing the version.
- set uptools v2 import pkg resourcespart of setuptools v2 = pkg resources.get distribution(‘mypackage’).version set uptools.format(v2) print(‘v2’.format(v2)) print(‘v2 ‘.format(v2)) print(‘v2 ‘.format(v2) This one appears to be slower, and the exe generated by pyinstaller is far larger than the one generated by pbr.
- import of a version In this case, VersionInfo v3 is equal to VersionInfo(″mypackage″).
- release string() print(‘v3 ‘.format(v3)) print(‘v3 ‘.format(v3)) One of these can be included in yourinit.py for the package to use to extract the version information in the same way that some other replies have suggested.
- all= (‘version ‘,’my package name’) is equivalent to Import the pkg resourcespart of the setuptools using the version= pkg resources.get distribution parameter.
What is PIP?
PIP is a package manager for Python packages, or modules if you prefer, that may be installed on a computer. Note that if you have Python version 3.4 or later, PIP is already installed by default.
What is a Package?
A module package contains all of the files that are required to run the module. Modules are code libraries written in Python that you may include in your project.
Check if PIP is Installed
Navigate to the location of Python’s script directory on your command line, and then type the following commands:
Check the PIP version in the following location: C:UsersYour NameAppDataLocalProgramsPython36-32Scripts> pip -version is an abbreviation for pip version.
If you do not already have PIP installed, you may do so by visiting this link and downloading and installing it:
Download a Package
The process of downloading a package is quite simple. Open the command-line interface and instruct PIP to download the package you desire from its server. Navigate to the location of Python’s script directory on your command line, and then type the following commands:
Download the ″camelcase″ package from the following link: Files in the following directory: C:UsersYourNameAppDataLocalProgramsPythonPython36-32Scripts> camelcase is installed via pip. You have just completed the download and installation of your first package!
Using a Package
Once the package has been successfully installed, it is ready for usage. Add the ″camelcase″ package to your project’s imports list.
Import ″camelcase″ and use it as follows: import camelcasec = camelcase. CamelCase()txt = ″hello, world″ print(c.hump(txt)) is equivalent to ″hello, world.″ Exemple in Action «
Find more packages at
Remove a Package
To uninstall a package, use the following command: uninstall
Uninstall the software named ″camelcase″ by following these instructions: Files in the following directory: C:UsersYourNameAppDataLocalProgramsPythonPython36-32Scripts> pip camelcase should be uninstalled After confirming that you wish to remove the camelcase package, the PIP Package Manager will ask you to confirm your decision.Uninstalling camelcase-02.1 is as follows: Would get rid of: c:usersYour Nameappdatalocalprogramspython36-32libsite-packagescamecase-0.2-py3.6.egg-info c:usersYour Nameappdatalocalprogramspython36-32libsite-packagescamecase-0.2-py3.6.egg-info c:usersYour Nameappdatalocalprogramspython36-32libsite-packagescamecase* c:usersYour Nameappdatalocalprogramspython36-32libsite-packagescamecase* Do you want to proceed (yes/no)?The package will be uninstalled if you press the y key.
To get a complete list of all the packages installed on your system, run the list command:
Installed packages should be listed as follows: Files in the following directory: C:UsersYourNameAppDataLocalProgramsPythonPython36-32Scripts> pip list is an abbreviation for ″pip list.″ Result: The package version -camelcase is a case-sensitive string. 0.2 mysql-connector pip = 2.1.6 pips 18.1pymongo 3.6.1 setuptools 39.0.1 python 3.6.1
How to find Python List Installed Modules and Version using pip?
Do you wish to find out which Python versions are currently installed on your system?In addition, I have recorded a video that includes a live demo.You may either watch the video or continue reading.The availability of a large number of external libraries is the primary strength of the Python programming language.As we continue to code in Python, we install a large number of packages.It is simple to obtain a list of Python modules that have been installed on the system.
- There are a variety of approaches you might use to do this.
- The following are the two methods that will work for you in order to obtain this list…
1. Using help() function (without pip):
The quickest and most straightforward method is to open a Python terminal and type the following command…help(″modules″) This will provide you with a list of all of the modules that have been installed on the system.This list comprises all of the modules and packages that are pre-installed with your Python installation, as well as any additional modules and packages that you have added directly.Here’s an example of how to use the help feature on my computer (Python version 2).OMG, this is a huge list:O You do not need to install any additional modules in order to use this list provided by the help() method.However, you will not receive any more information on the package as a result of this command.
- The pip program may be used to find out the version number of each module that has been installed.
2. Using pip to find Python list installed modules and their Versions:
The pip tool may be used to obtain a list of the Python packages that have been installed on the system.Those who are unfamiliar with pip should know that it is the most effective software for installing and managing other Python programs on your computer.More information may be found in the comprehensive guide for managing Python modules with pip, which can be found here.If you have the most recent version of Python, pip is already preloaded with the language.the command line should contain the following commands: (not on Python console).You will receive a detailed list of all the Python modules that have been installed, along with their versions.
- pip freeze or pip list are two options.
- Here’s an example of how to list the Python packages that are currently installed on your system using the pip command line tool.
- In contrast to the help function, it does not provide a list of the Python packages that have already been installed.
- You may see a list of all the Python packages, each with a version number.
- It is important to note that before running this command, you should check to see if pip is installed on your system.
- It comes pre-installed with Python for Python versions 2.7 and above, as well as 3.4 and higher.
- The output list of both commands has a completely different format from the other.
- Assume you are using these commands in a shell scripting environment.
- You can use any of the commands that you find simple to use to parse the output package list and obtain the information that you want.
- This command can be used in conjunction with any other command if you already have parsing code for any of the output from the two commands.
- Related Read this article to find out why you should learn Shell scripting.
(Python versus Shell Scripting) (Python vs Shell Scripting) Run the command to get additional information about a certain module.pip show getopt is a command that displays the options for a program.It returns the following information: the name of the module/package, the version, the author’s email address, the license, the location of the installed module, and the requirements.You can obtain the author’s email address.
- Any particular question about the Python package can be directed to the author, who will respond as soon as possible.
- If you want to use Python code for commercial purposes, it is critical that you understand the licensing of the package in question.
How to Check if Python module is installed?
If you want to search for a certain module installed on your system, you may combine pip commands with the grep command. grep getopt pip list | grep getopt For example, you may list out all of the installed modules that include the suffix ″re″ in the module name in a single line. grep re | pip list | grep re
How to count the number of Python modules installed on your system?
You may use the wc (word count) command to keep track of how many words you have written. the pip list | the wc -l Please keep in mind that the grep and wc commands are only compatible with Linux-based computers.
What is the use of these commands?
- You may use these commands to get a list of all the modules that are currently installed on your system. Later on, you may use this list to create a new environment that is identical to the previous one.
- If you encounter a problem with the Python package that you have installed, performing these instructions will make troubleshooting much easier.
- By knowing the version of a Python module, you may decide whether to update the module when a new version of the module becomes available.
What Comes Next?Check out these 39 Most Useful Python Modules, which are responsible for 95% of all Python jobs.How to construct a Python program to retrieve a list of Python packages and save them in an array will be covered in a later post.Stay tuned for that.If you find these Python list installed modules commands to be useful, please pass them on to your friends.Alternatively, if you have any questions on how to handle Python packages, please leave a comment.
- Pythoning is a great sport!
How To Check TensorFlow Version
- Introduction TensorFlow is a machine learning tool that is widely used. It is one of the most popular. It is critical to know which version of the system is running since various versions have different choices. Depending on how TensorFlow was installed, there are a variety of methods for determining the version of the software. Throughout this tutorial, you will learn how to verify the TensorFlow version in six different methods. Prerequisites Ensure you have installed Python 2 or Python 3 as well as TensorFlow (see our instructions on how to install TensorFlow on CentOS and how to install TensorFlow GPU on Ubuntu for more information).
- Access to a command-line interface or an integrated development environment (IDE).
Check TensorFlow Version in Python
The most straightforward method of determining the TensorFlow version is to use a Python integrated development environment (IDE) or code editor. The library includes ways for showing basic information that are already built in. In Python, type the following to output the TensorFlow version: Tensorflow is imported as a tf print (tf. version)
TensorFlow Newer Versions
Several methods are provided in the TensorFlow 2.x versions for printing the TensorFlow version number. To see which one is installed on your machine, use the following command: import tensorflow as tf print (tf.version.VERSION)
TensorFlow Older Versions
In TensorFlow 1.x, the mechanism for determining the version of the library is a little more complicated. In Python, you may get the version for earlier TensorFlow builds by executing the following command: Tensorflow is imported as a tf print (tf.VERSION)
Check TensorFlow Version in CLI
The python command in the CLI may be used to display the TensorFlow version that was invoked using Python invocation. The -c option causes code to be executed. If you have many instances of Python installed on your workstation, you should use the python command.
Check TensorFlow Version in Linux Terminal
Run the following command in the terminal to output the TensorFlow version: python -c ‘import tensorflow as tf; print(tf. version)’ If there are many instances of Python running on the system, execute the following command: python -c ‘import tensorflow as tf; print(tf. version)’ As an illustration:
Check TensorFlow Version in Windows Command Line
By running the following command in the command line, you can see the current TensorFlow version: python -c ″import tensorflow as tf; print(tf. version)″ You can also check with a specific version of Python by including the version number in the python command: python -c ″import tensorflow as tf; print(tf. version)″
Check TensorFlow Version in Pip
When it comes to installing Python libraries, the pip package manager is the most popular choice. It is possible to print the version created using pip in two ways.
Method 1: Using pip show
The pip show command displays information about any packages that have been installed. Run the following command to see the TensorFlow data: pip show tensorflow
Method 2: Using pip list
The pip list command displays a list of all the packages that have been installed using the pip install command. To filter out the results in Linux, use the grep command as follows: grep tensorflow | pip list | grep tensorflow To filter the pip list results on Windows, use the findstr command: list of pip commands | findstr ″tensorflow″
Check TensorFlow Version in Virtual Environment
According to the TensorFlow manual, implementing the platform in a virtual environment is highly recommended. Before you can verify the version, you must first activate the virtual environment.
Step 1: Activate Virtual Environment
To activate the virtual environment, use the following command, depending on your operating system: Run the following command on a Linux system: virtualenv Use the following command for Windows: Scriptsactivate The following environment appears as active in the CLI:
Step 2: Check Version
Using the python -c or pip display command, you may see what version of Python is currently running in your environment. As an illustration: tensorflow is displayed using the pip command.
Check TensorFlow Version in Anaconda
Installation of Anaconda is accomplished through the usage of the conda package manager.Conda list displays a list of all the libraries that have been installed using conda install.Filter the results using the grep command on a Linux system: conda list |grep tensorflow |grep tensorflow To print the TensorFlow version on Windows, use the conda list and findstr commands in conjunction with each other: conda list |findstr ″tensorflow″ conda list |
- findstr ″tensorflow″
Check TensorFlow Version in Jupyter Notebook
The Jupyter Notebook allows you to run commands and Python code in the context of your surroundings. In Jupyter Notebooks, there are two ways to determine the version of TensorFlow being used.
Method 1: Using Import
By executing the following code, you may import the TensorFlow library and output the version number: Tensorflow is imported as a tf print (tf. version)
Method 2: Using Pip
Exhibit the TensorFlow version by using the pip command followed by an exclamation point:!tensorflow is displayed using the pip command.Conclusion This article illustrates how to determine the TensorFlow version for various instances in a variety of settings.If you’re looking for more information about TensorFlow, check out our comparison of PyTorch vs TensorFlow.Was this article of assistance?YesNo
″pip″ Commands for Python Developers
Throughout this post, we’ll go through the six most crucial pip commands that any Python developer should be familiar with. The following is a list of the topics we will be discussing in this article:
What is pip?
Pip is a Python package manager that manages Python packages.As soon as we install pip, it is added to the system as a command line application that can be executed directly from the command line.It is not only possible to install and remove Python programs using pip, but it is also a very useful tool for creating a Python virtual environment.And in this post, we’ll go over some of the most helpful Python commands that a developer could come across in his or her daily activities.
If you’re looking for a package, pip is there to assist you. Using the pip search function, you may search PyPI for any package that is not already installed. The name and description of each matched package are returned as a consequence of the command’s output. Here’s an illustration: pip search is an abbreviation for Pip Search.
- With the pip install command, you may add new packages to your system. You may already be aware of the package’s name, or you can use the pip search function to look for a specific package. By default, a package from the PyPI repository is installed. The following is an example of how to install flask: pip install pip install contains numerous steps, which are as follows: Determine the fundamental needs. The arguments given by the user are handled in this section.
- Resolve any dependencies that may exist. In this section, we determine what will be installed.
- Make a set of wheels. All of the possible dependencies have been included into the wheels
- Obtain and install the packages (as well as remove everything that is being updated or replaced)
In addition, there is a notion known as caching.Pip includes a cache that works in a similar way to that of a web browser, and it is enabled by default in most cases.It is possible to deactivate the cache and always access the PyPI by using a –no-cache-dir option as follows: quickdev/$ pip install –no-cache-dir flask quickdev/$$$$$$$$$$$ According to the PyPA documentation: When an HTTP request is made, pip will first examine its local cache to see whether it has an appropriate answer for that request that has not expired and is still valid.However, if this occurs, it just returns the answer and does not proceed with the request.As soon as it detects that it has a cached response but that the response has expired, it will make a conditional request to refresh the cache, which will either return an empty response instructing pip to use the cached item (while also refreshing the expiration timer) or it will return a completely new response, which pip can then store in the cache.Installing packages from a requirements file is also possible using pip, as we shall see later in this article.
It’s fairly normal to receive information on a program that is currently installed on your system. This command gives information about any package, including its name, version, summary, dependant packages, and other useful information. Here’s an illustration: pip show (pronounced ″pip show″) Jinja2
This is the most straightforward of the bunch. Using the pip uninstall command, we may delete any package from our system. Here’s an illustration: remove pip from your computer
One of the most crucial commands that any Python developer should be familiar with is the python command.The pip list command displays a list of all of the packages installed in the current environment.It also gives the version of each package that has been installed.Packages are presented in alphabetical order, with no regard to case.pip list is an abbreviation for ″pip list.″ The command pip list delivers a list of all available packages.However, for whatever reason, we may also wish to compile a comprehensive list of all the programs that are now out of date.
- In order to do so, we may use the pip list -o or pip list -outdated command, which gives a list of packages with the version presently installed as well as the most recent version that is currently available.
- pip list is no longer valid.
- The pip list -u or pip list -uptodate command, on the other hand, may be used to display a list of all the packages that have been updated recently.
This command is used to keep all of the packages and their current versions frozen.When we wish to utilize the same collection of packages on multiple systems or settings, pip freeze is the most beneficial command.The pip freeze > filename command receives a filename as an argument.Here’s an illustration: requirements.txt is a prerequisite for pip freeze.Once we have generated the file that contains our packages, we can utilize that file to build a new environment that has the packages we previously built.For example, suppose we have a virtual environment named ″venv,″ and we want to install the programs listed in the requirements.txt file using the pip install -r command, as shown in the following example: pip install -r requirements.txt requirements.txt
This is a somewhat short list, but these are the pip commands that a Python developer uses the most frequently in his or her day-to-day work.Alternatively, if we want to examine what more commands or settings are available with pip, we can just write pip and click return.This will provide a list of all of the alternates that are available.Which commands do you find yourself using the most?Don’t forget to spread the word.Python, open source, web development, pip, and command line are some of the topics covered.
- Contributors to DZone express their own opinions, which are not necessarily those of DZone.
Why you should use `python -m pip`
In a tweet, Mariatta, a fellow core developer and Canadian, inquired about the idiom ″python -m pip,″ as well as who had informed her of it, and asked for a reference explaining what it meant: Currently, I’m not sure if it was precisely me that informed Mariatta about the python -m pip command, but the chances are good that it was me because I’ve been requesting that it be included in the PyPI instructions for how to install a package since 2016.So the purpose of this blog article is to explain what python -m pip is and why you should use it when you run pip for the first time.In the first place, the command python -m pip executes pip using the Python interpreter you supplied with the argument python.So, for example, /usr/bin/python3.7 -m pip indicates that you are running pip for your Python interpreter, which is located at /usr/bin/python3.7.If you’re unfamiliar with the -m flag and how it works (which is highly recommended), you can read the documentation.Therefore, you could be asking yourself, ″OK, but can’t I just launch pip by running the pip command?″ And the answer is ″yes, but with a great deal less control,″ and I’ll give you an example of what I mean by ″less control″ to illustrate what I mean.
- Consider the following scenario: I have two versions of Python installed, for example, Python 3.7 and Python 3.8.
- (and this is very common for people thanks to Python coming installed on macOS and Linux, let alone you may have installed Python 3.8 to play with it while having previously installed Python 3.7).
- For example, if you run pip in your terminal, it will install the Python interpreter for the Python language.
- You don’t know the answer because you don’t know what you don’t know.
- First, you’d need to know what my PATH is set to, such as whether /usr/bin is listed before or after /usr/local/bin (which are both popular locations for Python to be installed into, with /usr/local/bin often being listed first).
- So long as you remember where you installed Python 3.7 and 3.8, and that they were in distinct directories, you will be able to tell which version of pip is the first to appear on the PATH variable.
- However, suppose you installed both manually; for example, suppose your operating system arrived with Python 3.7.3 and you installed Python 3.7.5.
- In such instance, both Python versions are installed in the /usr/local/bin directory.
- Can you tell me what interpreter pip is associated with at this point?
- The answer is that you are still in the dark.
- Unless you know when you installed each version and, as a result, when the last copy of pip was written to /usr/local/bin/pip, you have no way of knowing what interpreter pip will be using when the pip command is issued.
Some people may object and say, ″I usually install the most recent versions, therefore it would suggest Python 3.8.0 was installed last because it is newer than Python 3.7.5.″ Okay, but what will happen