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32-bit Python, and 32-bit apps generally, can access only 4GB of memory at a time.Windows users can run 32-bit editions of Python on 64-bit Windows, but at a slight cost of performance. Most modern operating systems use a 64-bit edition of Python by default.The most likely answer is 64-bit, for the following reasons: One key choice you’ll need to make, especially on Windows, is whether to use the 32-bit or 64-bit version of Python. (You might want to investigate other Python distributions later, since they address specific use cases you might have, but we won’t consider them here.) Again, this is the safest and most broadly compatible distribution, the one nobody gets fired for picking.

Unlike Linux, though, Python offers one, gold-standard, “official” edition you can always fall back on: CPython, the version provided by the Python Software Foundation at. Python also comes in a variety of distributions, in much the same way Linux does. You can always try out the most recent version of Python in a controlled way - e.g., in a VM or a test machine - but going one version back guarantees the best compatibility with common third-party Python packages. The safe bet, then, is to use the latest update of Python 3.7 (in this case, Python 3.7.6). Latest Miniconda Installer Links ¶ Latest - Conda 23.1.0 Python 3.10.At the time of this writing, Python 3.8.1 is the most current version. Which does require administrator permissions. However, if you need to, you can install Miniconda system wide,

Which does not require administrator permissions and is the most robust type of On Windows, macOS, and Linux, it is best to install Miniconda for the local user, Minimum 400 MB disk space to download and install.The linux-aarch64 Miniconda installer requires glibc >=2.26 and thus will not work with CentOS 7, Ubuntu 16.04, or Debian 9 (“stretch”).