{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Experimenting your Winpython installation\n", "\n", " . [Winpython_checker test, to see various packages](Winpython_checker.ipynb) \n", " \n", " . [Seaborn visualization Example](seaborn_demo_from_jakevdp.ipynb)\n", " \n", " . [QT libraries Example](Qt_libraries_demo.ipynb)\n", "\n", " . [Pandas Data-science example](dplyr_pandas.ipynb)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Tutorials and Demonstrations on Internet\n", "\n", "\n", "## Introduction to DataScience\n", " . [Python Data Science Handbook](https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/README.md)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Games and Statistics\n", " . [Pythonic Perambulations](http://jakevdp.github.io) from Jake Vanderplas, in particular http://jakevdp.github.io/blog/2017/12/18/simulating-chutes-and-ladders/\n", " \n", " . [Peter Norvig Studies](https://github.com/norvig/pytudes/tree/master/ipynb) from Peter Norvig, in particular http://norvig.com/sudoku.html" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Ipython Notebook Documentation\n", " \n", " . [IPython notebook-based online documentation](https://nbviewer.ipython.org/github/ipython/ipython/blob/master/examples/Index.ipynb)\n", " \n", " . [Galery of Interesting Notebooks](https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks)\n", " \n", " . Videos of Conferences and Trainings: [Europython](https://www.youtube.com/user/PythonItalia/playlists?shelf_id=4&view=50&sort=dd), [Pydata](https://www.youtube.com/user/PyDataTV) , [Scipy](https://www.youtube.com/user/EnthoughtMedia), [EuroScipy](https://www.youtube.com/channel/UCruMegFU9dg2doEGOUaAWTg), [Pycon 2018](https://www.youtube.com/channel/UCsX05-2sVSH7Nx3zuk3NYuQ/featured) , [Pycon 2017](https://www.youtube.com/channel/UCrJhliKNQ8g0qoE_zvL8eVg), [Pycon 2016](https://www.youtube.com/channel/UCwTD5zJbsQGJN75MwbykYNw)\n", " " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Pandas\n", "\n", ". Beginners Training Video: [\"Brandon Rhodes - Pandas From The Ground Up - PyCon 2015 \"](https://www.youtube.com/watch?v=5JnMutdy6Fw)\n", "\n", ". Pandas [API reference](https://pandas.pydata.org/pandas-docs/stable/api.html)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Graphics :\n", "\n", " . Matplotlib : [Beginner's guide](https://matplotlib.org/users/beginner.html) , [Gallery](https://matplotlib.org/gallery.html) , [General Content](https://matplotlib.org/contents.html) \n", " \n", " . seaborn : [Tutorial](https://stanford.edu/~mwaskom/software/seaborn/tutorial.html) , [Gallery](https://stanford.edu/~mwaskom/software/seaborn/examples/index.html)\n", " \n", " . scikit-image : [Gallery](https://scikit-image.org/docs/dev/auto_examples/), [User Guide](https://scikit-image.org/docs/dev/user_guide.html)\n", " \n", " . holoviews : [Introduction](https://ioam.github.io/holoviews) , [Tutorials](https://ioam.github.io/holoviews/Tutorials/index.html)\n", " \n", " . bqplot: [Introduction](https://bqplot.readthedocs.io/en/stable/introduction.html)\n", " \n", " . Altair: [Introduction]](https://altair-viz.github.io/)\n", " \n", " . plotnine : [Gallery](https://plotnine.readthedocs.io/en/stable/gallery.html) , [Tutotials](https://github.com/has2k1/plotnine/blob/master/doc/external-resources.rst)\n", " \n", " . hvplot : [Gallery](https://hvplot.pyviz.org/)\n", "\n", " . PyQtGraph : [Gallery](http://www.pyqtgraph.org/)\n", " " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## SQL\n", " . IPython-SQL : [Tutorial](https://nbviewer.ipython.org/gist/catherinedevlin/6588378)\n", " \n", " . db.py : [Tutorial](https://nbviewer.ipython.org/github/yhat/db.py/blob/master/examples/db-example.ipynb)\n", " \n", " . baresql : [Tutorial](https://pypi.python.org/pypi/baresql)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "\n", "## Machine learning / Deep Learning\n", " . scikit-learn : [Tutorial](https://scikit-learn.org/stable/tutorial/index.html) , [Gallery](https://scikit-learn.org/stable/auto_examples/index.html)\n", " \n", " . Theano: [Tutorial](https://deeplearning.net/software/theano/tutorial/), [Related Projects](https://github.com/Theano/Theano/wiki/Related-projects)\n", " \n", " . Keras: [Introduction]](https://keras.io/)\n", "\n", " . Tensorflow: [Tutorial](https://github.com/Hvass-Labs/TensorFlow-Tutorials) with [videos](https://www.youtube.com/playlist?list=PL9Hr9sNUjfsmEu1ZniY0XpHSzl5uihcXZ)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "\n", "## Qt User Interface Development :\n", "\n", " . PyQt4 tutorial: https://zetcode.com/gui/pyqt4/firstprograms/\n", " \n", " . PyQt5 tutorial: https://zetcode.com/gui/pyqt5/firstprograms/\n", " \n", " . guiqwt tutorial: https://pythonhosted.org/guiqwt/examples.html .\n", " \n", " . switching from guiqwt 2 to 3: https://github.com/PierreRaybaut/guiqwt/blob/master/doc/migrating_from_v2_to_v3.rst)\n", " \n", " . guidata: https://pythonhosted.org/guidata/examples.html\n", " \n", " " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "## Winpython\n", "\n", ". [Winpython Discussion Group](https://groups.google.com/forum/#!forum/winpython)\n", " \n", ". [Other Winpython examples](http://nbviewer.ipython.org/github/winpython/winpython_afterdoc/tree/master/)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.0" } }, "nbformat": 4, "nbformat_minor": 1 }