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    <p><font face="Helvetica, Arial, sans-serif">On 6/10/20 7:19 AM,
        Dietmar Schwertberger wrote:
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          <div class="moz-cite-prefix">On 10.06.2020 12:05, Grzegorz
            Bokota wrote:<br>
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cite="mid:CADUBGeRnN2arHQUqwW_A1x2cM2W3_JWjnSqKWL=Nog5Kqo62yA@mail.gmail.com">
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              <div>Did you see manylinux wheel on the list of available
                files? <br>
              </div>
              <div class="gmail_quote">
                <div><a
                    href="https://pypi.org/project/wxPython/4.1.0/#files"
                    moz-do-not-send="true">https://pypi.org/project/wxPython/4.1.0/#files</a></div>
                <div><br>
                </div>
                <div>On my linux machine installation fails on
                  compilation.<br>
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          </blockquote>
          <p>The wheels are here: <a class="moz-txt-link-freetext"
              href="https://extras.wxpython.org/wxPython4/extras/linux/gtk3/">https://extras.wxpython.org/wxPython4/extras/linux/gtk3/</a><br>
            This is also described on the download page: <a
              class="moz-txt-link-freetext"
              href="https://wxpython.org/pages/downloads/">https://wxpython.org/pages/downloads/</a></p>
          <p>Yes, the situation could be better, but for most people the
            distribution packages are fine.<br>
            Software installation and maintenance of different versions
            in parallel has always been nicer on Windows...</p>
          <p>Regards,</p>
          <p>Dietmar<br>
          </p>
        </blockquote>
        You might want to consider using the <b><i>conda</i></b>
        package manager.<br>
        Conda packages are different from wheels -- in fact, they are
        specifically<br>
        designed for the use case of python-wrapped C++ (and other
        language)<br>
        libraries.  Conda is excellent at managing not only different
        versions<br>
        of a library in parallel (which may use different versions of
        libraries used by<br>
        an operating system, so conda maintains them separately from the
        versions<br>
        used by the operating system) but also different versions of
        Python:  unlike pip,<br>
        conda can create virtual environments with different versions of
        Python<br>
        <i><b>and install</b></i> the different versions of Python
        itself.<br>
      </font></p>
    <p><font face="Helvetica, Arial, sans-serif">Conda can be used on
        any platform (Linux, Windows, OSX).</font></p>
    <p><font face="Helvetica, Arial, sans-serif">For those reasons, I
        use conda for all my Python development, rather than pip.</font></p>
    <p><font face="Helvetica, Arial, sans-serif">Steve</font></p>
    <p><font face="Helvetica, Arial, sans-serif"><br>
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