Spyder: starejše različice za prenos

Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:
- Windows (Windows 10+): Spyder-Windows-x86_64.exe
- macOS
- M1 (14.0+): Spyder-macOS-arm64.pkg
- Intel (13.0+): Spyder-macOS-x86_64.pkg
- Linux (CentOS 7+): Spyder-Linux-x86_64.sh
Notes:
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
Advanced installation
Important Notes
1. If you are new to Python or the Scientific Python ecosystem, we recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda create -n spyder-env -c conda-forge python=3.11
conda activate spyder-env
conda install -c conda-forge spyder=6.1.8
Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install -U spyder
Note: Do not use this command if you are using Anaconda because it will break your installation.
Contributors
A big thank you to all the contributors that made this bugfix release possible:
@susan-cheng @huili0423 @aws-sde @darkdi @IamRezaMousavi @rear1019 @jsbautista @CAM-Gerlach @conradolandia @ccordoba12 @dalthviz @meeseeksmachine (backport bot) @spyder-bot (translators) 🎉
Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:
- Windows (Windows 10+): Spyder-Windows-x86_64.exe
- macOS
- M1 (14.0+): Spyder-macOS-arm64.pkg
- Intel (13.0+): Spyder-macOS-x86_64.pkg
- Linux (CentOS 7+): Spyder-Linux-x86_64.sh
Notes:
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
Advanced installation
Important Notes
1. If you are new to Python or the Scientific Python ecosystem, we recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda create -n spyder-env -c conda-forge python=3.11
conda activate spyder-env
conda install -c conda-forge spyder=6.1.7
Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install -U spyder
Note: Do not use this command if you are using Anaconda because it will break your installation.
Contributors
A big thank you to all the contributors that made this bugfix release possible: @tlunet @mrclary @ccordoba12 @dalthviz @jsbautista
@meeseeksmachine (backport bot) @spyder-bot (translators) 🎉
Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:
- Windows (Windows 10+): Spyder-Windows-x86_64.exe
- macOS
- M1 (14.0+): Spyder-macOS-arm64.pkg
- Intel (13.0+): Spyder-macOS-x86_64.pkg
- Linux (CentOS 7+): Spyder-Linux-x86_64.sh
Notes:
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
Advanced installation
Important Notes
1. If you are new to Python or the Scientific Python ecosystem, we recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda create -n spyder-env -c conda-forge python=3.11
conda activate spyder-env
conda install -c conda-forge spyder=6.1.6
Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install -U spyder
Note: Do not use this command if you are using Anaconda because it will break your installation.
Contributors
A big thank you to all the contributors that made this bugfix release possible: @athompson673 @M-Reimer @larsoner @ProcyonLotor42 @reachout-sreeram @mrclary @jsbautista @CAM-Gerlach @ccordoba12 @dalthviz @meeseeksmachine (backport bot) @spyder-bot (translators) 🎉
Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:
- Windows (Windows 10+): Spyder-Windows-x86_64.exe
- macOS
- M1 (14.0+): Spyder-macOS-arm64.pkg
- Intel (13.0+): Spyder-macOS-x86_64.pkg
- Linux (CentOS 7+): Spyder-Linux-x86_64.sh
Notes:
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
Advanced installation
Important Notes
1. If you are new to Python or the Scientific Python ecosystem, we recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda create -n spyder-env -c conda-forge python=3.11
conda activate spyder-env
conda install -c conda-forge spyder=6.1.5
Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install -U spyder
Note: Do not use this command if you are using Anaconda because it will break your installation.
Contributors
A big thank you to all the contributors that made this bugfix release possible: @saaketp @ccordoba12 @officialasishkumar @hprodh @mrclary @jsbautista @rear1019 @dalthviz @meeseeksmachine (backport bot) @spyder-bot (translators) 🎉
Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:
- Windows (Windows 10+): Spyder-Windows-x86_64.exe
- macOS
- M1 (14.0+): Spyder-macOS-arm64.pkg
- Intel (13.0+): Spyder-macOS-x86_64.pkg
- Linux (CentOS 7+): Spyder-Linux-x86_64.sh
Notes:
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
Advanced installation
Important Notes
1. If you are new to Python or the Scientific Python ecosystem, we recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda create -n spyder-env -c conda-forge python=3.11
conda activate spyder-env
conda install -c conda-forge spyder=6.1.4
Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install -U spyder
Note: Do not use this command if you are using Anaconda because it will break your installation.
Contributors
A big thank you to all the contributors that made this bugfix release possible: @jitseniesen @skjerns @mrclary @athompson673 @rear1019 @jsbautista @CAM-Gerlach @ccordoba12 @mathstuf @dalthviz @meeseeksmachine (backport bot) @spyder-bot (translators) 🎉
Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:
- Windows (Windows 10+): Spyder-Windows-x86_64.exe
- macOS
- M1 (14.0+): Spyder-macOS-arm64.pkg
- Intel (13.0+): Spyder-macOS-x86_64.pkg
- Linux (CentOS 7+): Spyder-Linux-x86_64.sh
Notes:
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
Advanced installation
Important Notes
1. If you are new to Python or the Scientific Python ecosystem, we recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda create -n spyder-env -c conda-forge python=3.11
conda activate spyder-env
conda install -c conda-forge spyder=6.1.3
Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install -U spyder
Note: Do not use this command if you are using Anaconda because it will break your installation.
Contributors
A big thank you to all the contributors that made this bugfix release possible: @jondo @conradolandia @hlouzada @fumitoh @jsbautista @CAM-Gerlach @dalthviz @mrclary @ccordoba12 @meeseeksmachine (backport bot) @spyder-bot (translators) 🎉
Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:
- Windows (Windows 10+): Spyder-Windows-x86_64.exe
- macOS
- M1 (14.0+): Spyder-macOS-arm64.pkg
- Intel (13.0+): Spyder-macOS-x86_64.pkg
- Linux (CentOS 7+): Spyder-Linux-x86_64.sh
Notes:
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
Advanced installation
Important Notes
1. If you are new to Python or the Scientific Python ecosystem, we recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda create -n spyder-env -c conda-forge python=3.11
conda activate spyder-env
conda install -c conda-forge spyder=6.1.2
Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install -U spyder
Note: Do not use this command if you are using Anaconda because it will break your installation.
Contributors
A big thank you to all the contributors that made this bugfix release possible: @mrclary @ccordoba12 @CAM-Gerlach @jsbautista @dalthviz @meeseeksmachine (backport bot) @spyder-bot (translators) 🎉
Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:
- Windows (Windows 10+): Spyder-Windows-x86_64.exe
- macOS
- M1 (14.0+): Spyder-macOS-arm64.pkg
- Intel (13.0+): Spyder-macOS-x86_64.pkg
- Linux (CentOS 7+): Spyder-Linux-x86_64.sh
Notes:
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
Advanced installation
Important Notes
1. If you are new to Python or the Scientific Python ecosystem, we recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda create -n spyder-env -c conda-forge python=3.11
conda activate spyder-env
conda install -c conda-forge spyder=6.1.1
Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install -U spyder
Note: Do not use this command if you are using Anaconda because it will break your installation.
Contributors
A big thank you to all the contributors that made this bugfix release possible: @hlouzada @csreddy98 @rear1019 @dalthviz @ccordoba12 @Carreau @CAM-Gerlach @athompson673 @jsbautista @mrclary @meeseeksmachine (backport bot) @spyder-bot (translators) 🎉
Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:
- Windows (Windows 10+): Spyder-Windows-x86_64.exe
- macOS
- M1 (14.0+): Spyder-macOS-arm64.pkg
- Intel (13.0+): Spyder-macOS-x86_64.pkg
- Linux (CentOS 7+): Spyder-Linux-x86_64.sh
Notes:
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
Advanced installation
Important Notes
1. If you are new to Python or the Scientific Python ecosystem, we recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda create -n spyder-env -c conda-forge python=3.11
conda activate spyder-env
conda install -c conda-forge spyder=6.1.0
Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install -U spyder
Note: Do not use this command if you are using Anaconda because it will break your installation.
Contributors
A big thank you to all the contributors that made this minor release (including alphas, betas, release candidates and 6.0.x bug fix releases) possible: @kevinsmia1939 @jitseniesen @Flamefire @juliangilbey @fxjaeckel @mrclary @jsbautista @ccordoba12 @dalthviz @athompson673 @SimpleZion @hlouzada @takluyver @znapy @Social-Mean @gschwind @CAM-Gerlach @rear1019 @oscargus @hmaarrfk @dpizetta @a-detiste @impact27 @conradolandia @The-Ludwig @meeseeksmachine (backport bot) @spyder-bot (translators) 🎉
Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:
- Windows (Windows 10+): Spyder-Windows-x86_64.exe
- macOS
- M1 (14.0+): Spyder-macOS-arm64.pkg
- Intel (13.0+): Spyder-macOS-x86_64.pkg
- Linux (CentOS 7+): Spyder-Linux-x86_64.sh
Notes:
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
Advanced installation
Important Notes
1. If you are new to Python or the Scientific Python ecosystem, we recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda create -n spyder-env -c conda-forge python=3.11
conda activate spyder-env
conda install -c conda-forge spyder=6.0.8
Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install -U spyder
Note: Do not use this command if you are using Anaconda because it will break your installation.
Contributors
A big thank you to all the contributors that made this patch release possible: @athompson673 @ccordoba12 @spyder-bot (translators) 🎉
Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:
- Windows (Windows 10+): Spyder-Windows-x86_64.exe
- macOS
- M1 (14.0+): Spyder-macOS-arm64.pkg
- Intel (13.0+): Spyder-macOS-x86_64.pkg
- Linux (CentOS 7+): Spyder-Linux-x86_64.sh
Notes:
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
Advanced installation
Important Notes
1. If you are new to Python or the Scientific Python ecosystem, we strongly recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda create -n spyder-env -c conda-forge python=3.11
conda activate spyder-env
conda install -c conda-forge spyder=6.0.7
Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install -U spyder
Note: Do not use this command if you are using Anaconda because it will break your installation.
Contributors
A big thank you to all the contributors that made this patch release possible: @ccordoba12 @dalthviz @meeseeksmachine (backport bot) 🎉
Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:
- Windows (Windows 10+): Spyder-Windows-x86_64.exe
- macOS
- M1 (14.0+): Spyder-macOS-arm64.pkg
- Intel (13.0+): Spyder-macOS-x86_64.pkg
- Linux (CentOS 7+): Spyder-Linux-x86_64.sh
Notes:
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
Advanced installation
Important Notes
1. If you are new to Python or the Scientific Python ecosystem, we strongly recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda create -n spyder-env -c conda-forge python=3.11
conda activate spyder-env
conda install -c conda-forge spyder=6.0.6
Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install -U spyder
Note: Do not use this command if you are using Anaconda because it will break your installation.
Contributors
A big thank you to all the contributors that made this patch release possible: @a-detiste @oscargus @juliangilbey @hmaarrfk @jitseniesen @mrclary @ccordoba12 @jsbautista @dalthviz @spyder-bot (our translators) @meeseeksmachine (backport bot) 🎉
Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:
- Windows (Windows 10+): Spyder-Windows-x86_64.exe
- macOS
- M1 (14.0+): Spyder-macOS-arm64.pkg
- Intel (13.0+): Spyder-macOS-x86_64.pkg
- Linux (CentOS 7+): Spyder-Linux-x86_64.sh
Notes:
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
Advanced installation
Important Notes
1. If you are new to Python or the Scientific Python ecosystem, we strongly recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda create -n spyder-env -c conda-forge python=3.11
conda activate spyder-env
conda install -c conda-forge spyder=6.0.5
Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install -U spyder
Note: Do not use this command if you are using Anaconda because it will break your installation.
Contributors
A big thank you to all the contributors that made this patch release possible: @rear1019 @dalthviz @impact27 @ccordoba12 @jsbautista @mrclary@spyder-bot (our translators) @meeseeksmachine (backport bot) 🎉
Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:
- Windows (Windows 10+): Spyder-Windows-x86_64.exe
- macOS

- M1 (14.0+): Spyder-macOS-arm64.pkg
- Intel (13.0+): Spyder-macOS-x86_64.pkg
- Linux (CentOS 7+): Spyder-Linux-x86_64.sh
Notes:
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
Advanced installation
Important Notes
1. If you are new to Python or the Scientific Python ecosystem, we strongly recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda create -n spyder-env -c conda-forge python=3.11
conda activate spyder-env
conda install -c conda-forge spyder=6.0.4
Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install -U spyder
Note: Do not use this command if you are using Anaconda because it will break your installation.
Contributors
A big thank you to all the contributors that made this major release possible: @Social-Mean @rear1019 @juliangilbey @jsbautista @athompson673 @ccordoba12 @mrclary @dalthviz @spyder-bot (our translators) @meeseeksmachine (backport bot) 🎉
Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:
- Windows (Windows 10+): Spyder-Windows-x86_64.exe
- macOS
- M1 (14.0+): Spyder-macOS-arm64.pkg
- Intel (12.0+): Spyder-macOS-x86_64.pkg
- Linux (CentOS 7+): Spyder-Linux-x86_64.sh
Notes:
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
Advanced installation
Important Notes
1. If you are new to Python or the Scientific Python ecosystem, we strongly recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda create -n spyder-env -c conda-forge python=3.11
conda activate spyder-env
conda install -c conda-forge spyder=6.0.3

Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install -U spyder

Note: Do not use this command if you are using Anaconda because it will break your installation.Contributors
A big thank you to all the contributors that made this major release possible: @dpizetta @athompson673 @jitseniesen @dalthviz @conradolandia @hlouzada @mrclary @ccordoba12 @spyder-bot (our translators) @meeseeksmachine (backport bot) 🎉Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:
- Windows (Windows 10+): Spyder-Windows-x86_64.exe
- macOS
- M1 (14.0+): Spyder-macOS-arm64.pkg
- Intel (12.0+): Spyder-macOS-x86_64.pkg
- Linux (CentOS 7+): Spyder-Linux-x86_64.sh
Notes:
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
Advanced installation
Important Notes
1. If you are new to Python or the Scientific Python ecosystem, we strongly recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda create -n spyder-env -c conda-forge python=3.11
conda activate spyder-env
conda install -c conda-forge spyder=6.0.2

Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install -U spyder

Note: Do not use this command if you are using Anaconda because it will break your installation.Contributors
A big thank you to all the contributors that made this major release possible: @Flamefire @rear1019 @dalthviz @mrclary @ccordoba12 @hlouzada @spyder-bot (our translators) @meeseeksmachine (backport bot) 🎉Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux (experimental):
- Windows (Windows 10+): Spyder_64bit_full.exe
- macOS
- M1 (14.0+): Spyder_arm64.dmg
- Intel (12.0+): Spyder.dmg
- Linux (CentOS 7+): Linux-x86_64.sh (Experimental)
Advanced installation
Important Notes
1. If you are new to Python or the Scientific Python ecosystem, we strongly recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda install spyder=5.5.6
Notes:
- It can take several months for a new Spyder version to be part of Anaconda. Please be patient until then and do not report it as a problem because we don't have any control over that.
- If you installed Anaconda for the first time, you need to run the following command first:
conda update anaconda
before running the command above.
Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install -U spyder
Note: Do not use this command if you are using Anaconda because it will break your installation.
Contributors
A big thank you to all the contributors that made this release possible: @mrclary @hmaarrfk @ccordoba12 @dalthviz @spyder-bot (our translators) 🎉
Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux (experimental):
- Windows (Windows 10+): Spyder_64bit_full.exe
- macOS
- M1 (14.0+): Spyder_arm64.dmg
- Intel (12.0+): Spyder.dmg
- Linux (CentOS 7+): Linux-x86_64.sh (Experimental)
Advanced installation
Important Notes
1. If you are new to Python or the Scientific Python ecosystem, we strongly recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda install spyder=5.5.5
Notes:
- It can take several months for a new Spyder version to be part of Anaconda. Please be patient until then and do not report it as a problem because we don't have any control over that.
- If you installed Anaconda for the first time, you need to run the following command first:
conda update anaconda
before running the command above.
Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install -U spyder
Note: Do not use this command if you are using Anaconda because it will break your installation.
Contributors
A big thank you to all the contributors that made this release possible: @dpizetta @rear1019 @mrclary @ccordoba12 @dalthviz 🎉
Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.

- Windows (Windows 10): Spyder_64bit_full.exe
- macOS (11.0+): Spyder.dmg
- Linux (CentOS 7+): Linux-x86_64.sh (Experimental)
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
New Contributors
- @kevinsmia1939 made their first contribution in #21169

- Windows (Windows 10): Spyder_64bit_full.exe
- macOS (11.0+): Spyder.dmg
- Linux (CentOS 7+): Linux-x86_64.sh (Experimental)
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
New Contributors
- @kevinsmia1939 made their first contribution in #21169

- Windows (Windows 10): Spyder_64bit_full.exe
- macOS (11.0+): Spyder.dmg
- Linux (CentOS 7+): Linux-x86_64.sh (Experimental)
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .

- Windows (Windows 10): Spyder_64bit_full.exe
- macOS (11.0+): Spyder.dmg
- Linux (CentOS 7+): Linux-x86_64.sh (Experimental)
- To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
- To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
New Contributors
- @ryohei22 made their first contribution in #21111
- @dpizetta made their first contribution in #21128