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Download Python For Mac Terminal
Django is available open-source under the BSD license. We recommend using the latest version of Python 3. The last version to support Python 2.7 is Django 1.11 LTS. See the FAQ for the Python versions supported by each version of Django. Here’s how to get it:
Option 1: Get the latest official version
The latest official version is 3.1.3. Read the 3.1.3 release notes, then install it with pip:
Option 2: Get the latest development version
The latest and greatest Django version is the one that’s in our Git repository (our revision-control system). This is only for experienced users who want to try incoming changes and help identify bugs before an official release. Get it using this shell command, which requires Git:
git clone https://github.com/django/django.git
You can also download a gzipped tarball of the development version. This archive is updated every time we commit code.
After you get it
See the installation guide for further instructions. Make sure you read the documentation that corresponds to the version of Django you’ve just installed.
And be sure to sign up for the django-users mailing list, where other Django users and the Django developers themselves all hang out to help each other.
Supported Versions
Feature releases (A.B, A.B+1, etc.) will happen roughly every eight months. These releases will contain new features, improvements to existing features, and such.
Patch releases (A.B.C, etc.) will be issued as needed, to fix bugs and/or security issues. These releases will be 100% compatible with the associated feature release, unless this is impossible for security reasons or to prevent data loss. So the answer to 'should I upgrade to the latest patch release?” will always be 'yes.'
Certain feature releases will be designated as long-term support (LTS) releases. These releases will get security and data loss fixes applied for a guaranteed period of time, typically three years.
See the supported versions policy for detailed guidelines about what fixes will be backported.
Release Series | Latest Release | End of mainstream support1 | End of extended support2 |
---|---|---|---|
3.1 | 3.1.3 | April 2021 | December 2021 |
3.0 | 3.0.11 | August, 2020 | April, 2021 |
2.2 LTS | 2.2.17 | December 2, 2019 | April 2022 |
2.1 | 2.1.15 | April 1, 2019 | December 2, 2019 |
2.0 | 2.0.13 | August 1, 2018 | April 1, 2019 |
1.11 LTS 3 | 1.11.29 | December 2, 2017 | April 1, 2020 |
1.10 | 1.10.8 | April 4, 2017 | December 2, 2017 |
1.9 | 1.9.13 | August 1, 2016 | April 4, 2017 |
1.8 LTS | 1.8.19 | December 1, 2015 | April 1, 2018 |
1.7 | 1.7.11 | April 1, 2015 | December 1, 2015 |
1.6 | 1.6.11 | September 2, 2014 | April 1, 2015 |
1.5 | 1.5.12 | November 6, 2013 | September 2, 2014 |
1.4 LTS | 1.4.22 | February 26, 2013 | October 1, 2015 |
1.3 | 1.3.7 | March 23, 2012 | February 26, 2013 |
Here's what the future roadmap looks like:
Release Series | Release Date | End of mainstream support1 | End of extended support2 |
---|---|---|---|
3.2 LTS | April 2021 | December 2021 | April 2024 |
4.0 | December 2021 | August 2022 | April 2023 |
4.1 | August 2022 | April 2023 | December 2023 |
4.2 LTS | April 2023 | December 2023 | April 2026 |
[1] Security fixes, data loss bugs, crashing bugs, major functionality bugs in newly-introduced features, and regressions from older versions of Django.
[2] Security fixes and data loss bugs.
[3] Last version to support Python 2.7.
Back to Top[2] Security fixes and data loss bugs.
[3] Last version to support Python 2.7.
C and C++ users¶
The GCC is required. Download latest version fromhttps://github.com/minepy/minepy/releases. No installation is required.See C API and C++ API on how toinclude and compile the library in your C/C++ software.
Python users¶
Requirements:
- GCC
- Python 2.7, 3.X
- NumPy >= 1.3.0 (with header files)
On Linux¶
We suggest to install the GCC and the Python headers through the package manager(e.g. on Ubuntu/Debian):
Then, upgrade pip and install setuptools:
Finally, install minepy:
On Mac OS X¶
Python For Mac
In Mac OS X, we recommend to install Python from Homebrew:
- Install Xcode;
- Install Homebrew;
- Make sure the environment variable
PATH
is properly setted in your~/.bash_profile
or~/.bashrc
:export PATH=/usr/local/bin:$PATH - Install Python:
Install gcc:
Finally, install minepy:
Running the tests¶
MATLAB users (Windows, Linux and Mac OS X)¶
The library works with MATLAB >= 7.3 (R2006b) since it supports 64-Bit indexing.See http://www.mathworks.com/help/matlab/matlab_external/upgrading-mex-files-to-use-64-bit-api.html.Download latest version from https://github.com/minepy/minepy/releases.
- Untar the file
minepy-X.Y.Z.tar.gz
(whereX.Y.Z
is the currentversion of minepy) - Open MATLAB
- In the MATLAB “command window” go into the
minepy-X.Y.Z
folder bytyping: - Build the binary MEX file by typing:
- Now you have the binary MEX-file in
path_to_minepy-X.Y.Z/matlab/
(mine_mex.mex*
, where * can bea64
,maci64
,w32
orw64
) - Put your MEX-file (
mine_mex.mex*
) andmine.m
in a folder on theMATLAB path. Alternatively, you can addpath_to_minepy-X.Y.Z/matlab/
selecting File > SetPath. - Test the MEX-file by typing:
OCTAVE users (Windows, Linux and Mac OS X)¶
Download latest version from https://github.com/minepy/minepy/releases.
- Untar the file
minepy-X.Y.Z.tar.gz
(whereX.Y.Z
is the currentversion of minepy) - Run OCTAVE
- Go into the
minepy-X.Y.Z
folder by typing: - Build the binary MEX-file by typing:
- Now, you have the binary MEX-file in
path_to_minepy-X.Y.Z/matlab/
(mine_mex.mex
) - Put your MEX-file (
mine_mex.mex
) andmine.m
in a folder on the OCTAVEpath. Alternatively, you can addpath_to_minepy-X.Y.Z/matlab/
in theOCTAVE startup file(http://www.gnu.org/software/octave/doc/interpreter/Startup-Files.html) - Test the MEX-file by typing: