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I am trying to build a GUI in Python and I'm having trouble setting up a Python environment that "simply works" for the second time now.

Since I'm quite happy with Jetbrains products, all my tries until now were based on PyCharm. The first time, I went with standard Python installations. This time, I was recommended Anaconda, which comes with more packages.

Unfortunately, I still have problems getting a simple Hello world program to run.

I'm looking for something that

  • installs the IDE
  • and Python
  • and PIP
  • and pkg-config
  • and GTK+

and if I understand this GTK+ page correctly

  • installs GLib
  • installs cairo
  • installs Pango
  • installs ATK
  • installs gdk-pixbuf

and EVERYTHING ELSE that's needed for serious development.

I don't want to spend wasting several hours of downloading and installing dozens of libraries until I can compile and run a hello world program.

Does such a thing exist or do I need to build it myself (if I figure out how to do it)?

  • Your problems are &not* with PyCharm. You will have them with any IDE. Stick with PyCharm - there is simply nothing better - nothing that even comes close. You ar ehaving pakage management problems, which ar enot hte fault of PyCharm – Mawg Aug 3 '16 at 7:57
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If you would like an all in one python environment where you get everything in a single download they I would recommend PythonXY - on Windows it is a single file to download and install, that includes:

  • Python of course
  • IDE: Spyder
  • GUI Libraries:
    • wxPython
    • Qt
    • pyGTK
  • A really good selection of libraries.
  • The downsides are that it is currently still python 2.x and Windows only

Component Map from website: Component Map

  • That looks promising. I'll try it tomorrow – Thomas Weller Aug 1 '16 at 20:34
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You can get a very complete bundle of python, libraries and GUI from Continuum Analytics Anacoda

  • Python (of course) 2.7 or 3.5
  • Cross Platform - Win/OS-X/Linux
  • 720+ of the most popular Python, R & Scala packages for stats, data mining, machine learning, deep learning, simulation & optimization, geospatial, text & NLP, graph & network, image analysis
  • Featured packages include: NumPy, SciPy, pandas, scikit-learn, Numba, PyTables, h5py, Matplotlib, Jupyter (formerly IPython), Spyder, Qt/PySide, VTK, Numexpr, Cython, Theano, scikit-image, NLTK, NetworkX, IRKernel, dplyr, shiny, ggplot2, tidyr, caret, nnet
  • Software development via multiple IDEs
  • Commercial Support available (for a fee)
  • Down side is that you get into the habit of using conda rather than pip.
  • I am already using Anaconda as stated in the question, but that didn't help much. – Thomas Weller Aug 1 '16 at 20:33

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