Python new version

The Python Landscape: A Quick Overview Understanding Python Versioning Stability vs. New Features Long-Term Support (LTS) Versions Compatibility Concerns The Role of Virtual Environments When Should You Upgrade? Testing Across Versions Wrapping It Up FAQs Conclusion You might also read:So, you're diving into the world of Python, huh? And now you're faced with the question: which version of Python should you use? It's a good question! Python has been around since 1991, and over the years there have been quite a few versions released—each with its own features, quirks, and advantages. In this post, I’ll figure things out as I go along and share what I’ve learned about selecting the right Python version for your project.The Python Landscape: A Quick OverviewFirst off, the most notable versions you’ll encounter are Python 2 and Python 3. Python 2 reached the end of its life in January 2020, which means it’s no longer officially supported. This is significant because no updates, not even security fixes, will be provided. So if you’re picking a version today, Python 3 is the clear choice, right? But then I think, there's more to it! What about the specific versions within Python 3?Understanding Python VersioningPython follows a versioning system like many programming languages: major, minor, and patch. For example, in Python 3.10.0:3 is the major version10 is the minor version0 is the patch versionSo, every time a new major version is released, there are major changes. Minor versions introduce new features, while patches usually fix bugs. It’s kinda confusing at first—like, how do I know if I should jump on the latest version right away, or wait until things stabilize a bit?Stability vs. New FeaturesOkay, let’s explore this further. Suppose you need the latest features. For instance, Python 3.11 introduced some cool optimizations and features like new syntax for error handling and performance improvements. But then you think about stability. If you're working on a production application, there’s something to be said for sticking with a version that’s been around for a while. Python 3.9, for example, is widely regarded as stable and has extensive community support.Long-Term Support

The Python Releases for Mac OS X page and download the latest stable release macOS 64-bit/32-bit installer.After the download is complete, run the installer and click through the setup steps leaving all the pre-selected installation defaults.Once complete, we can check that Python was installed correctly by opening a Terminal and entering the command python3 --version. The Python 3.13.0 version number should print to the Terminal.Note: This version will change as new releases come out.Advanced Since our system now has both Python 2 (which came pre-installed) and Python 3, we must remember to use the python3 command (instead of just python) when running scripts. If you would rather not have to remember the python3 command and just use python instead, then creating a command alias is your best bet.Execute open ~/.bash_profile from a Terminal (if the file was not found, then run touch ~/.bash_profile first).Copy and paste alias python="python3" into the now open .bash_profile file and save.While we’re at it, go ahead and copy and paste alias pip="pip3" into the file as well in order to create an alias for the Python 3 pip package manager.Finally, restart the Terminal and run python --version. We should see the exact same output as running python3 --version.WindowsFollow the below steps to install Python 3 on Windows.Go to the Python Releases for Windows page and download the latest stable release Windows x86-64 executable installer.After the download is complete, run the installer.On the first page of the installer, be sure to select the “Add Python to PATH” option and click through the remaining setup steps leaving all the pre-select installation defaults.Once complete, we can check that Python was installed correctly by opening a Command Prompt (CMD or PowerShell) and entering the command python --version. The Python 3.13.0 version number should print to the console.Note: This version will change as new releases come out.Installing MinicondaMacFollow the below instructions to install the latest Miniconda version for Mac.Go to the Miniconda Download page and download the Python 3.13.0 Mac OS X 64-bit .pkg installer.Note: This version will change as new releases come out.After the download is complete, run the installer and click through the setup steps leaving all the pre-selected installation defaults.Once complete, we can check that Miniconda was installed correctly by opening a Terminal and entering the command conda list. This will print a list of packages installed by Miniconda.WindowsFollow the below instructions to install the latest Miniconda version for Windows.Go to the Miniconda Download page and download the Python 3.13.0 Windows 64-bit .exe installer.Note: This version will change as new releases come out.After the download is complete, run the installer and click through the setup steps leaving all the pre-selected installation defaults.Once complete, we can check that

Sudo pip3 freezeConfirm versions of Python and Pip on the NEW Matillion ETL instance.SSH on to the Matillion instanceRun the following commands and compare the output against the CURRENT Matillion ETL instance. The NEW Matillion ETL instance should be of the same or later version of Python2/3 as the CURRENT Matillion ETL instance.Python2 sudo python --versionPython2 sudo pip --versionPython3 sudo python3 --versionPython3 sudo pip3 --versionConfirm the Python Libraries installed and the version of each on the NEW Matillion ETL instance.SSH on to the Matillion instanceRun the following commands and note the output. Note that by default, a new Matillion instance will have some Python libraries installed.Python2 Libraries: sudo pip freezePython3 Libraries: sudo pip3 freezeCompare the list of Python Libraries on the CURRENT Matillion instance against the list of Python Libraries on the NEW Matillion instance. Based on the comparison, identify the Python libraries that need to be installed on the new instance.Install each Python library that is required on the NEW Matillion instance, ensuring to install the exact same version of the library installed on the CURRENT Matillion instance.Python2 - Install a library of a specific version:sudo pip install [modulename]==[version number]Example: sudo pip install boto3==1.14.53Python3 - Install a library of a specific version:sudo pip3 install [modulename]==[version number]Example: sudo pip3 install boto3=1.17.45Advanced TopicsThe topics below focus on "advanced topics" related to using Python with Matillion ETL. Many of the sections below link to other documentation topics.Disabling Python on a Matillion ETL instanceIt is possible to disable the Python Script feature on a Matillion instance. Following are the steps to do so:SSH on to the Matillion instanceMake a backup of a configuration file that will be edited:sudo cp /usr/share/emerald/WEB-INF/classes/Emerald.properties /usr/share/emerald/WEB-INF/classes/Emerald.properties.backupEdit the same configuration file:File: /usr/share/emerald/WEB-INF/classes/Emerald.propertiesAdd the following to the end of the file: ALLOW_PYTHON_COMPONENTS=falseRestart the Matillion service.From an SSH session:sudo service tomcat stopsudo service tomcat startFrom a Matillion UI session:Click Admin → Restart ServerRestricted UsersBy default, when a Python Script component executes, it runs as an external process on the Matillion ETL server directly, with the same privileges as the web server. It is possible to restrict the execution of the Python

Key takeaways are:Stick to Python 3, preferably 3.9 or 3.10 for stability.Consider long-term support options.Test your code across different versions if possible.Leverage virtual environments to manage multiple projects smoothly.I guess there’s no one-size-fits-all answer, and that’s just part of the process! The Python community is always evolving, and it’s fascinating to see how these changes influence how we build our projects.FAQsWhat is the latest stable version of Python?The latest stable version is Python 3.11. Always check the official Python website for the most current information.Can I still use Python 2?While technically possible, Python 2 has reached its end of life, so it’s not recommended due to a lack of support and updates.How do I check my current Python version?You can check your Python version by running python --version in your command line.What’s the best way to upgrade my Python version?Using package managers like pip or conda can make the upgrade process smoother, or you can reinstall the latest version directly from the Python website.ConclusionChoosing the right Python version is crucial, and it’s not always straightforward! It involves weighing the benefits of new features against the needs for stability and compatibility. In a world where technology is constantly changing, staying informed and flexible will serve you well. Let’s keep this conversation going—what’s your experience with different Python versions? Feel free to share your thoughts in the comments below!You might also read:Understanding Python Virtual EnvironmentsTop Features of Python 3 to Boost Your ProjectsEssential Python Libraries for Your Next Project Citation @article{python-version-guide, title = {How to Choose the Right Python Version for Your Project}, author = {Toxigon}, year = 2024, journal = {Toxigon Blog}, url = { }

Applications.FAQs on Download and Installing PythonWhat are the system requirements for installing Python?Python is compatible with most operating systems, including Windows, macOS, and Linux. The basic requirement is having sufficient storage space for installation and running your programs. Specific versions of Python may have additional requirements, so it's advisable to check the Python website for details related to the version you plan to install.How do I choose between Python 2 and Python 3?Python 3 is the latest and most actively maintained version, offering more features and improvements over Python 2. As of January 1, 2020, Python 2 has been officially discontinued and no longer receives updates or support. For new projects, Python 3 is strongly recommended.Can I have multiple versions of Python installed on my computer?Yes, you can have multiple versions of Python installed on your computer. However, managing them can be tricky, especially for beginners. It's recommended to use a version management tool like pyenv for Unix-based systems or pyenv-win for Windows to simplify this process.How do I verify if Python is installed correctly on my system?Open your command line interface (CLI) and type python --version or python3 --version to verify Python installation. If Python is installed correctly, this command will return the version number. You can also run a simple Python script to ensure the interpreter is functioning properly.Where can I find official Python documentation and learning resources?The official Python documentation, which includes tutorials, guides, and references, is available at python.org. There are numerous online platforms and communities that offer Python tutorials and courses for beginners and advanced users alike.

Of standard libraries installed. Additionally, and frequently, Matillion ETL users may want to install additional Python libraries on their Matillion ETL instances. This can be done using pip, Python's package manager. Read Additional Modules to learn how to add Python libraries to a Matillion ETL instance.As of version 1.61.6, Matillion ETL comes with version 8.1.2 of pip for Python2 and version 9.0.3 of pip for Python3. Typically, the version of pip that ships with Matillion ETL should be sufficient for most use cases and we do not recommend updating the version of pip. Matillion ETL releases are tested based on the version of pip that is included with Matillion ETL. Installing a different version of pip could result in unexpected behavior within Matillion ETL. If you find a need to upgrade the version of pip on your Matillion ETL instance, please ensure you have a current backup of your instance that can be restored if necessary.Migrating Matillion InstancesThere can be many reasons to launch a new Matillion ETL instance and migrate your existing Matillion ETL instance over to it. The most common scenario for this is when updating to a new version of Matillion ETL following our recommended best practice to launch a new Matillion instance and then use Matillion's Migrate feature. When migrating, note that Python libraries are included in the list of resources that are not automatically migrated. We will outline here the best practice steps for migrating Python libraries that your Matillion ETL jobs may have dependencies on, to a new Matillion ETL instance.Confirm versions of Python and Pip on the CURRENT Matillion ETL instance.SSH on to the Matillion instanceRun the following commands and note the output:Current version of Python2 installed: sudo python --versionCurrent version of Pip installed for Python2: sudo pip --versionCurrent version of Python3 installed: sudo python3 --versionCurrent version of Pip installed for Python3: sudo pip3 --versionConfirm the Python Libraries installed and the version of each on the CURRENT Matillion ETL instance.SSH on to the Matillion instanceRun the following commands and note the output:List of installed Python2 libraries: sudo pip freezeList of installed Python3 libraries: