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Miniconda is a free minimal installer for conda. It is a small, bootstrapversion of Anaconda that includes only conda, Python, the packages they dependon, and a small number of other useful packages, including pip, zlib and afew others. Use the condainstall command to install 720+ additional condapackages from the Anaconda repository.

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See if Miniconda is right for you.

Step 1: install the Pyzo IDE. Most users can select one of these: Windows: Pyzo installer (64bit) macOS: Pyzo dmg (macOS 10.13 High Sierra or higher) Linux: Pyzo tarball (build on Ubuntu 18.04, 64bit). Otherwise, see all releases for more downloads (e.g. 32/64 bit Windows zipfiles, and older versions). But I uninstalled Pyzo and was then able to successfully install and run the original 64-bit 4.6.0 Apparently that's all it needed. I would close this issue, but I'm not sure if this is something you still want to fix, so I'll let you decide:). WinPython: Another free distribution including scientific packages and the Spyder IDE; Windows only, but more actively maintained and supports the latest Python 3 versions. Pyzo: A free distribution based on Anaconda and the IEP interactive development environment; Supports Linux, Windows, and Mac. Pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most.

System requirements¶

  • License: Free use and redistribution under the terms of the EULA for Miniconda.
  • Operating system: Windows 8 or newer, 64-bit macOS 10.13+, or Linux, including Ubuntu, RedHat, CentOS 7+, and others.
  • If your operating system is older than what is currently supported, you can find older versions of the Miniconda installers in our archive that might work for you.
  • System architecture: Windows- 64-bit x86, 32-bit x86; macOS- 64-bit x86 & Apple M1 (ARM64); Linux- 64-bit x86, 64-bit aarch64 (AWS Graviton2 / ARM64), 64-bit IBM Power8/Power9, s390x (Linux on IBM Z & LinuxONE).
  • Minimum 400 MB disk space to download and install.

On Windows, macOS, and Linux, it is best to install Miniconda 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 Miniconda system wide,which does require administrator permissions.

Latest Miniconda Installer Links¶

Latest - Conda 4.10.3 Python 3.9.5 released July 21, 2021
PlatformNameSHA256 hash
WindowsMiniconda3 Windows 64-bitb33797064593ab2229a0135dc69001bea05cb56a20c2f243b1231213642e260a
Miniconda3 Windows 32-bit24f438e57ff2ef1ce1e93050d4e9d13f5050955f759f448d84a4018d3cd12d6b
MacOSXMiniconda3 MacOSX 64-bit bash786de9721f43e2c7d2803144c635f5f6e4823483536dc141ccd82dbb927cd508
Miniconda3 MacOSX 64-bit pkg8fa371ae97218c3c005cd5f04b1f40156d1506a9bd1d5c078f89d563fd416816
Miniconda3 macOS Apple M1 64-bit bash (Py38 conda 4.10.1 2021-11-08)4ce4047065f32e991edddbb63b3c7108e7f4534cfc1efafc332454a414deab58
LinuxMiniconda3 Linux 64-bit1ea2f885b4dbc3098662845560bc64271eb17085387a70c2ba3f29fff6f8d52f
Miniconda3 Linux-aarch64 64-bit4879820a10718743f945d88ef142c3a4b30dfc8e448d1ca08e019586374b773f
Miniconda3 Linux-ppc64le 64-bitfa92ee4773611f58ed9333f977d32bbb64769292f605d518732183be1f3321fa
Miniconda3 Linux-s390x 64-bit1faed9abecf4a4ddd4e0d8891fc2cdaa3394c51e877af14ad6b9d4aadb4e90d8

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Windows installers¶

Python versionNameSizeSHA256 hash
Python 3.9Miniconda3 Windows 64-bit58.1 MiBb33797064593ab2229a0135dc69001bea05cb56a20c2f243b1231213642e260a
Python 3.8Miniconda3 Windows 64-bit57.3 MiB8940cdd621557bc55743d6bb4518c6d343a4587127e76de808fb07e51df03fea
Python 3.7Miniconda3 Windows 64-bit55.8 MiB9c031506bfcb0428a0ac46c9152f9bdd48d5bdaa83046691bf8e0a4480663c05
Python 3.9Miniconda3 Windows 32-bit55.3 MiB24f438e57ff2ef1ce1e93050d4e9d13f5050955f759f448d84a4018d3cd12d6b
Python 3.8Miniconda3 Windows 32-bit54.5 MiBf81c165384c18d1986e2ba2f86cef384bc62266c46b34cd3d274e751ff5d91ed
Python 3.7Miniconda3 Windows 32-bit55.3 MiBa1bb8338be12ee09dbd4cab9dcc2fbdc99f65d99281dd2c07d24ad0f23dd1f7c
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macOS installers¶

Python versionNameSizeSHA256 hash
Python 3.9Miniconda3 macOS 64-bit bash42.3 MiB786de9721f43e2c7d2803144c635f5f6e4823483536dc141ccd82dbb927cd508
Miniconda3 macOS 64-bit pkg49.9 MiB8fa371ae97218c3c005cd5f04b1f40156d1506a9bd1d5c078f89d563fd416816
Python 3.8Miniconda3 macOS 64-bit bash53.3 MiB93e514e01142866629175f5a9e2e1d0bac8bc705f61d1ed1da3c010b7225683a
Miniconda3 macOS 64-bit pkg60.8 MiBfaab44cd21b4b09f5c032aa49a8a23d3c53ef629dc9322411348ce413e41df35
Miniconda3 macOS Apple M1 ARM 64-bit bash44.9 MiB4ce4047065f32e991edddbb63b3c7108e7f4534cfc1efafc332454a414deab58
Python 3.7Miniconda3 macOS 64-bit bash50.6 MiBca7492d456c319d15682b2d3845112a631365f293d38d1f62872c33a2e57e430
Miniconda3 macOS 64-bit pkg58.1 MiBc3710f25748884741ef8d97777ebb3541c992d51130298830b5b9ad449dbbf1e
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Linux installers¶

Python versionNameSizeSHA256 hash
Python 3.9Miniconda3 Linux 64-bit63.6 MiB1ea2f885b4dbc3098662845560bc64271eb17085387a70c2ba3f29fff6f8d52f
Miniconda3 Linux-aarch64 64-bit62.6 MiB4879820a10718743f945d88ef142c3a4b30dfc8e448d1ca08e019586374b773f
Miniconda3 Linux-ppc64le 64-bit60.6 MiBfa92ee4773611f58ed9333f977d32bbb64769292f605d518732183be1f3321fa
Miniconda3 Linux-s390x 64-bit57.1 MiB1faed9abecf4a4ddd4e0d8891fc2cdaa3394c51e877af14ad6b9d4aadb4e90d8
Python 3.8Miniconda3 Linux 64-bit98.8 MiB935d72deb16e42739d69644977290395561b7a6db059b316958d97939e9bdf3d
Miniconda3 Linux-aarch64 64-bit94.8 MiB19584b4fb5c0656e0cf9de72aaa0b0a7991fbd6f1254d12e2119048c9a47e5cc
Miniconda3 Linux-ppc64le 64-bit93.3 MiBc1ac79540cb77b2e0ca5b9f78b3bc367567d810118500a167dea4a0bcab5d063
Miniconda3 Linux-s390x 64-bit89.0 MiB55f514110a50e98549a68912cbb03e43a36193940a1889e1c8beb30009b4da19
Python 3.7Miniconda3 Linux 64-bit84.9 MiBa1a7285dea0edc430b2bc7951d89bb30a2a1b32026d2a7b02aacaaa95cf69c7c
Miniconda3 Linux-aarch64 64-bit89.2 MiB65f400a906e3132ddbba35a38d619478be77d32210a2acab05133d92ba08f111
Miniconda3 Linux-ppc64le 64-bit88.1 MiBe4f8b4a5eb8da1badf0b0c91fd7ee25e39120d4d77443e7a1ef3661fd439a997
Miniconda3 Linux-s390x 64-bit84.1 MiB7ab9f813dd84cb0951a2d755cd84708263ce4e03c656e65e2fa79ed0f024f0f7


  • See hashes for all Miniconda installers.
  • Verify your installation.
  • Installationinstructions.

Other resources¶

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These Miniconda installers contain the condapackage manager and Python. Once Miniconda isinstalled, you can use the conda command to installany other packages and create environments, etc.For example:

There are two variants of the installer: Minicondais Python 2 based and Miniconda3 is Python 3 based.Note that the choice of which Miniconda isinstalled only affects the root environment.Regardless of which version of Miniconda youinstall, you can still install both Python 2.x andPython 3.x environments.

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The other difference is that the Python 3 versionof Miniconda will default to Python 3 when creatingnew environments and building packages. So forinstance, the behavior of:

will be to install Python 2.7 with the Python 2Miniconda and to install Python 3.8 with the Python3 Miniconda. You can override the default byexplicitly setting python=2 or python=3. Italso determines the default value of CONDA_PYwhen using condabuild.



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If you already have Miniconda or Anacondainstalled, and you just want to upgrade, you shouldnot use the installer. Just use condaupdate.

For instance:

will update conda.

I have been working with scipy and matplotlib on a project for just a few months. I have been using pyzo the whole time, and find it to work excellent, thanks.
Until this week, I have been using 3 machines: an old vista laptop, an old windows 7 laptop, and a windows 7 desktop in the library of my school. On all 3 of these machines, my code runs well. It takes about 5 minutes on the library machine, and 30-40 minutes on my laptops at home.
I purchased a more powerful laptop last week. It is a windows 8.1 laptop, with a bunch of memory and a much better processor. I'm pleased with how the new windows works, and this machine works ok. However, the same code that works on the other machines does not work on the new windows 8.1 laptop.
It runs through my code for a few minutes, then windows pops up a window that says:
'python.exe. has stopped working'
'A problem caused the program to stop working correctly. Windows will close the program and notify you if a solution is available'
Inside the python shell, there is an error message that says:
'The kernel process exited. (255)'
Reading some of the previous posts in this forum, I saw a suggestion to run the code directly from a terminal. So I went to my dos prompt and ran the same code, with the same windows error.
Is it a pyzo issue, or a windows 8.1 & python 3.4 issue? Or something else?
Any ideas on where to start trouble shooting?