Note: A newer security-fix release, 3.2.6, is currently available. Its use is recommended.
As a general solution to install Python packages with binary dependencies 1 on Debian/Ubuntu: sudo apt-get build-dep python-ldap # installs system dependencies (but not the package itself) pew workon myvirtualenv # enter your virtualenv pip install python-ldap You'll have to check the name of your Python package on Ubuntu versus PyPI. How to install Mu with Python packaging on Windows, OSX and Linux. If you already have Python3 installed on your Windows, OSX or Linux machine then it is easy to install Mu with Python’s built-in package manager, pip. Please note: this method does not currently work on Raspberry Pi (use these instructions instead).
Python 3.2 was released on February 20th, 2011.
Osx Install Python
- For OSX users, python2.7 comes pre-installed in /usr/bin/ but any python versions that were downloaded and installed by a user are likely in /usr/local/bin/ (see OutOnAWeekend's comment). – David Skarbrevik Oct 12 '18 at 22:10.
- Python 3.2 was released on February 20th, 2011. Python 3.2 is a continuation of the efforts to improve and stabilize the Python 3.x line. Since the final release of Python 2.7, the 2.x line will only receive bugfixes, and new features are developed for 3.x only.
Python 3.2 is a continuation of the efforts to improve and stabilize the Python3.x line. Since the final release of Python 2.7, the 2.x line will only receivebugfixes, and new features are developed for 3.x only.
Since PEP 3003, the Moratorium on Language Changes, is in effect, there areno changes in Python's syntax and only few changes to built-in types in Python3.2. Development efforts concentrated on the standard library and support forporting code to Python 3. Highlights are:
- numerous improvements to the unittest module
- PEP 3147, support for .pyc repository directories
- PEP 3149, support for version tagged dynamic libraries
- PEP 3148, a new futures library for concurrent programming
- PEP 384, a stable ABI for extension modules
- PEP 391, dictionary-based logging configuration
- an overhauled GIL implementation that reduces contention
- an extended email package that handles bytes messages
- a much improved ssl module with support for SSL contexts and certificatehostname matching
- a sysconfig module to access configuration information
- additions to the shutil module, among them archive file support
- many enhancements to configparser, among them mapping protocol support
- improvements to pdb, the Python debugger
- countless fixes regarding bytes/string issues; among them full supportfor a bytes environment (filenames, environment variables)
- many consistency and behavior fixes for numeric operations
See these resources for further information:
- Change log for this release.
- Report bugs at http://bugs.python.org.
- Help fund Python and its community.
This is a production release. Please report any bugs you encounter.
We currently support these formats for download:
- Bzipped source tar ball (3.2)(sig), ~ 11 MB
- XZ compressed source tar ball (3.2)(sig), ~ 8.5 MB
- Gzipped source tar ball (3.2)(sig), ~ 13 MB
- Windows x86 MSI Installer (3.2)(sig) and Visual Studio debug informationfiles(sig)
- Windows X86-64 MSI Installer (3.2)[1](sig) and Visual Studiodebug information files(sig)
- Mac OS X 64-bit/32-bit Installer (3.2) for Mac OS X 10.6[2](sig).[You may need an updated Tcl/Tk install to run IDLE or use Tkinter,see note 2 for instructions.]
The source tarballs are signed with Georg Brandl's key, which has a key id of36580288; the fingerprint is 26DE A9D4 6133 91EF 3E25 C9FF 0A5B 1018 36580288. The Windows installer was signed by Martin von Löwis' public key, whichhas a key id of 7D9DC8D2. The Mac installers were signed with Ned Deily's key,which has a key id of 6F5E1540. The public keys are located on the downloadpage.
MD5 checksums and sizes of the released files:
| [1] | The binaries for AMD64 will also work on processors that implement theIntel 64 architecture (formerly EM64T), i.e. the architecture thatMicrosoft calls x64, and AMD called x86-64 before calling it AMD64. Theywill not work on Intel Itanium Processors (formerly IA-64). |
| [2] | (1, 2) There is important information about IDLE, Tkinter, and Tcl/Tk on Mac OSX here. Also, on Mac OS X 10.6, if you need tobuild C extension modules with the 32-bit-only Python installed, you willneed Apple Xcode 3, not 4. The 64-bit/32-bit Python can use eitherXcode 3 or Xcode 4. |
Review the system requirements listed below before installing Anaconda Individual Edition. If you don’t want the hundreds of packages included with Anaconda, you can install Miniconda, amini version of Anaconda that includes just conda, its dependencies, and Python.
System requirements
- License: Free use and redistribution under the terms of the ../eula.
- Operating system: Windows 8 or newer, 64-bit macOS 10.13+, or Linux, including Ubuntu, RedHat, CentOS 6+, and others.
- If your operating system is older than what is currently supported, you can find older versions of the Anaconda installers in our archive that might work for you. See Using Anaconda on older operating systems for version recommendations.
- System architecture: Windows- 64-bit x86, 32-bit x86; MacOS- 64-bit x86; Linux- 64-bit x86, 64-bit Power8/Power9.
- Minimum 5 GB disk space to download and install.
On Windows, macOS, and Linux, it is best to install Anaconda for the local user,which does not require administrator permissions and is the most robust type ofinstallation. However, if you need to, you can install Anaconda system wide,which does require administrator permissions.
Silent mode install
You can use silent mode toautomatically accept default settings and have no screen prompts appear duringinstallation.
Using Anaconda on older operating systems
We recommend upgrading your operating system. Most OS that are no longersupported in the latest Anaconda are no longer getting security updates.Upgrading your OS allows you to get the latest packages, performanceimprovements, bug fixes, etc.
To use Anaconda on older operating systems, download from our archive.You will not be able to use conda to update or install packages beyondthe Anaconda version noted in the table below, unless you limit it toversions available at the time that particular version of Anacondawas released.You can see what was available by checking the package table archives.
Osx Uninstall Python
| Operating system | How to install Anaconda |
|---|---|
| macOS 10.10-10.12; Windows 7 | Use the command line or graphical installers for Anaconda versions 2019.10 and earlier. Download from our archive. |
| macOS 10.9 | Use the command line or graphical installers for Anaconda versions5.1 and earlier. Note Qt and other packages released after Anaconda Distribution 5.1 (February 15th, 2018)may not work on macOS 10.9, so it may be necessary to not update certain packages beyond this point. |
| macOS 10.7 and 10.8 | Use the command line installers for Anaconda versions 4.2 and earlier. |
| macOS 10.5 and 10.6 | Use the command line installers for Anaconda versions 1.8 and earlier. |
| Windows XP | Use Anaconda versions 2.2 and earlier. |
| Centos5 (or equivalent) | Use Anaconda versions 4.3 and earlier. |
Installing Anaconda on a non-networked machine (air gap)
- Obtain a local copy of the appropriate Anaconda installer for the non-networked machine. You can copy the Anaconda installer to the target machine using many different methods including a portable hard drive, USB drive, or CD.
- After copying the installer to the non-networked machine, follow the detailed installation instructions for your operating system.
Osx Install Python2
Note
You can install offline copies of both docs.anaconda.com and enterprise-docs.anaconda.com by installing the conda package anaconda-docs: condainstallanaconda-docs
You can install offline copies of documentation for many of Anaconda’s open-source packages by installing the conda package anaconda-oss-docs: condainstallanaconda-oss-docs
Other ways to get Anaconda or Miniconda
You can find the official Anaconda or Miniconda AMIs on the AWS Marketplace.
You can find the official Anaconda and Miniconda Docker images on Docker Hub.
If you have a CDH cluster, you can install the Anaconda parcel using Cloudera Manager. The Anaconda parcel provides a static installation of Anaconda, based on Python 2.7, that can be used with Python and PySpark jobs on the cluster.
Troubleshooting
If you experience errors during the installation process,review our Troubleshooting topics.