Spyder Python Version Check

[Shantelle Wenske]

Youcan launch the correct version of Spyder by launching from Ananconda's Navigator. From the dropdown, switch to your desired environment and then press the launch Spyder button. You should be able to check the results right away.

If you receive the message An error occurred while starting the kernel in the IPython Console, Spyder was unable to launch a new Python interpreter in the current working environment to run your code.There are a number of problems that can cause this, but most can be fixed fairly quickly with a few easy steps.

If the kernel displays a long error traceback that mentions other packages like ipython, ipykernel, jupyter_client, traitlets or pyzmq, the problem may be an out of date or incompatible version of a dependency package.To fix this, activate the environment and update the key dependencies.

Check the last few lines of the error message, and see if its an AttributeError or ImportError, or refers to a file you created in your current working directory or your home folder (C:/Users/YOUR_USERNAME on Windows, /Users/YOUR_USERNAME on macOS, or /home/YOUR_USERNAME on Linux).

If so, the the error is likely due to your file being named the same as a Python standard library module, such as string.py or time.py, which overrides the built-in module that Spyder-Kernels is trying to load.To fix this, simply rename your file to something other than one of these names, and try restarting the kernel.To check the names of these modules, see the list in the Python standard library documentation.

Some objects, whether due to being written in C, Cython or another language; generated dynamically at runtime; or being a method of an object you create, cannot be easily found without executing the code.

Given the variety of dependencies involved in making LSP work, an incompatible or out of date version in your environment can result in error messages, incomplete results, or help/analysis not working at all.

If the plugin with the problem is not listed in the dependencies dialog, check that you installed it in the same environment as Spyder.If you have, then the problem may well be caused by a dependency issue.Test whether you can import the plug-in manually by opening a Python console in the same environment as Spyder and typing, for instance, import spyder_unittest to test the Spyder-Unittest` plug-in; this command should run without errors.

If you get an error which mentions or involves a Spyder plugin, such as spyder-unittest, spyder-terminal or spyder-notebook, or if you encounter any other problem with a Spyder plugin, then the first approach should be to update Spyder and the plugin to their latest versions.

When you use pip install, the next thing on the command line should be the name of the package you are trying to install. You cannot install Python from Pip. The purpose of Pip is to set up third-party packages, within a Python installation that already exists. You already have one of them here. In your command prompt, where it says (win-64_python-3.8.10-h7840368_2_cpython), that is showing you the name of the currently active virtual environment - a folder that contains a copy of Python taken from some base install.

Step by step, exactly what have you done since then in order to install, upgrade or downgrade new versions of related software? For example, did you get a stand-alone installer for Spyder? What came first?

To create a new Python environment with the Python version and packages you want, follow the steps in this FAQ question (which I recently revised to be simpler and easier to understand, and also has a dedicated video tutorial), making sure to add python=3.8 (or, better, 3.11, or whatever version you want) at end of the command beginning conda create, e.g.:

Spyder 4.2.5 is nearly 3 years old and Spyder 4 is long-unsupported; the current release is Spyder 5.5.0, while the first stable release of Spyder 6 just around the corner. There have been many improvements in recent versions to the functionality for connecting and using Spyder with different environments, so you should always use the latest version.

Yup, this is correct. In your screenshot of the Spyder statusbar, the version of Spyder is shown to the left (as well as whether any updates are available), while the current default working environment name, type and its Python version are shown to the right. You can right-click on the latter (or the "Completions entry to its right, if shown) to open the preferences pane to select a different one. As mentioned, out of the box Spyder defaults to opening new consoles in its own runtime environment, which in this case is the internal environment created by the installer.

Spyder is a free and open source scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts.It features a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection, and beautiful visualization capabilities of a scientific package.

Want to join the community of scientists, engineers and analysts all around the world using Spyder?Click the button below to download the suggested installer for your platform.We offer standalone installers on Windows and macOS, and as our Linux installer is are still experimental, we currently recommend the cross-platform Anaconda distribution for that operating system, which includes Spyder and many other useful packages for scientific Python.You can also try out Spyder right in your web browser by launching it on Binder.

The built-in interpreter of the standalone version doesn't currently support installing packages beyond the common scientific libraries bundled with it, so most users will want to have an external Python environment to run their own code, like with any other IDE.Also, the standalone installers don't yet work with third-party plugins, so users needing them should use Spyder through a Conda-based distribution instead.For a detailed guide to this and the other different ways to obtain Spyder, refer to our full installation instructions, and check out our release page for links to all our installers.Happy Spydering!

Depending on your Python distribution, you may get more information in the result set. However, the number next to Python is the version number, which is what we are looking for. In this case, the full version number is 3.8.3.

Sometimes you may want to check the version of Python when you are coding an application (i.e. inside the script). This is especially useful when you have multiple Python versions installed on your computer. To check which Python version is running, you can use either the sys or the platform module. The script will be the same for Windows, macOS, and Linux.

Both code snippets output the Python version in the string format. If necessary, you can also get the version number in the tuple format. The tuple will contain five components: major, minor, micro, release level, and serial:

Install the version of scikit-learn provided by youroperating system or Python distribution.This is a quick option for those who have operating systems or Pythondistributions that distribute scikit-learn.It might not provide the latest release version.

If you have not installed NumPy or SciPy yet, you can also install these usingconda or pip. When using pip, please ensure that binary wheels are used,and NumPy and SciPy are not recompiled from source, which can happen when usingparticular configurations of operating system and hardware (such as Linux ona Raspberry Pi).

Scikit-learn plotting capabilities (i.e., functions starting with plot_and classes ending with Display) require Matplotlib. The examples requireMatplotlib and some examples require scikit-image, pandas, or seaborn. Theminimum version of scikit-learn dependencies are listed below along with itspurpose.

The Debian/Ubuntu package is split in three different packages calledpython3-sklearn (python modules), python3-sklearn-lib (low-levelimplementations and bindings), python3-sklearn-doc (documentation).Note that scikit-learn requires Python 3, hence the need to use the python3-suffixed package names.Packages can be installed using apt-get:

Compatibility with the standard scikit-learn solvers is checked by running thefull scikit-learn test suite via automated continuous integration as reportedon intel/scikit-learn-intelex. If you observe any issuewith scikit-learn-intelex, please report the issue on theirissue tracker.

It can happen that pip fails to install packages when reaching the default pathsize limit of Windows if Python is installed in a nested location such as theAppData folder structure under the user home directory, for instance:

Anaconda is a free and open-source distribution of Python and R programming languages for scientific computing. It simplifies package management and deployment, making it easier for data scientists to manage their projects and dependencies.

Command Not Working: If the conda list anaconda$ command does not return the Anaconda version, try updating Conda by typing conda update conda in the Anaconda Prompt and then retry the command.

Knowing your Python Anaconda version is essential for compatibility, troubleshooting, and staying updated with the latest features and improvements. By following the steps outlined in this guide, you can easily check and update your Anaconda and Python versions.

Saturn Cloud is your all-in-one solution for data science & ML development, deployment, and data pipelines in the cloud. Spin up a notebook with 4TB of RAM, add a GPU, connect to a distributed cluster of workers, and more. Request a demo today to learn more.

I have recently deleted the Psychopy standalone file from the Applications folder. Believing that psychopy was uninstalled from my computer I moved back to spyder and I tried to lunch the psychopy experiment and it worked, probing that I was wrong and psychopy is still installed. So that seems to indicate that I had two different copies of Psychopy in my computer, one that corresponded to the deleted file and other which might be the libraries in my anaconda folders.

3a8082e126