Update README and syllabus

Author: tpaskhalis

README.md

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 # DS3_Introduction_Python
-Materials for DS3 'Introduction to Python' 1-day workshop 
+
+Materials for 1-day workshop DS3 [Introduction to Python](https://ds3.ai/2022/python.html) workshop
+
+## Structure
+
+- `./data` - Data files used in the workshop
+- `./exercises` - Jupyter Notebooks with class exercises
+- `./lectures` - Lecture materials (as Jupyter Notebooks and compiled PDF/HTML files)
+- `./syllabus` - Copy of workshop syllabus
+
+## Schedule
+
+| Date    | Time (CEST)   | Topic                                            |
+|:--------|:--------------|:-------------------------------------------------|
+| 27 July | 15:00-16:45   | Introduction to Python objects and data types    |
+|         | 16:45-17:00   | Exercise I                                       |
+|         | 17:00-17:15   | Break                                            |
+|         | 17:15-18:00   | Introduction to Pandas                           |
+|         | 18:00-19:00   | Exploratory data analysis and data visualization |
+|         | 19:00-19:15   | Exercise II                                      |
+
+## Jupyter Notebook Installation
+
+- For this workshop I recommend using one of the 2 online platforms for working with Jupyter Noteboks:
+  - [Google Colab](https://colab.research.google.com/notebooks/intro.ipynb), a cloud platform for hosting Jupyter Notebooks. You need to have a Google account, but it does not require any local installations.
+  - [Kaggle Code](https://www.kaggle.com/code), a platform for sharing and exploring data-science-focussed Jupyter Notebooks. Although technically owned by Google, you can register just for Kaggle website.
+- If you would prefer to install Jupyter Notebook on your local machine, there are two main ways to do this: [pip](https://jupyter.readthedocs.io/en/latest/install/notebook-classic.html#alternative-for-experienced-python-users-installing-jupyter-with-pip) and [conda](https://jupyter.readthedocs.io/en/latest/install/notebook-classic.html#installing-jupyter-using-anaconda-and-conda). Unless you have prior experience with Python, I recommend installing [Anaconda](https://www.anaconda.com/products/individual) distribution, which contains all the packages required for this course.
+
+## Additional Materials
+
+There are many great online resources and published books on programming in Python. Some of them also provide a good coverage of using Python for data analysis. Here are some pointers to start from:
+
+Books:
+
+- Guttag, John. 2021 *Introduction to Computation and Programming Using Python: With Application to Computational Modeling and Understanding Data*. 3rd ed. Cambridge, MA: The MIT Press
+
+- McKinney, Wes. 2017. *Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython*. 2nd ed. Sebastopol, CA: O'Reilly Media
+  
+- Sweigart, Al. 2019. *Automate the Boring Stuff with Python*. 2nd ed. San Francisco, CA: No
+Starch Press
+
+Online:
+
+- [Python For You and Me](https://pymbook.readthedocs.io/en/latest/)
+
+- [Python Wikibook](https://en.wikibooks.org/wiki/Python_Programming)
+
+- [Python 3 Documentation](https://docs.python.org/3/) (intermediate and advanced)
+
+---
+
+## License
+
+This work is licensed under a
+[Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa].
+
+[![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]
+
+[cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/
+[cc-by-nc-sa-image]: https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png
+[cc-by-nc-sa-shield]: https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg

requirements.in

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+jupyter
+pandas
+plotnine
+statsmodels

requirements.txt

@@ -0,0 +1,272 @@
+#
+# This file is autogenerated by pip-compile with python 3.8
+# To update, run:
+#
+#    pip-compile
+#
+argon2-cffi==21.3.0
+    # via notebook
+argon2-cffi-bindings==21.2.0
+    # via argon2-cffi
+asttokens==2.0.5
+    # via stack-data
+attrs==21.4.0
+    # via jsonschema
+backcall==0.2.0
+    # via ipython
+beautifulsoup4==4.11.1
+    # via nbconvert
+bleach==5.0.1
+    # via nbconvert
+cffi==1.15.1
+    # via argon2-cffi-bindings
+cycler==0.11.0
+    # via matplotlib
+debugpy==1.6.2
+    # via ipykernel
+decorator==5.1.1
+    # via ipython
+defusedxml==0.7.1
+    # via nbconvert
+entrypoints==0.4
+    # via
+    #   jupyter-client
+    #   nbconvert
+executing==0.9.1
+    # via stack-data
+fastjsonschema==2.16.1
+    # via nbformat
+fonttools==4.34.4
+    # via matplotlib
+importlib-resources==5.9.0
+    # via jsonschema
+ipykernel==6.15.1
+    # via
+    #   ipywidgets
+    #   jupyter
+    #   jupyter-console
+    #   notebook
+    #   qtconsole
+ipython==8.4.0
+    # via
+    #   ipykernel
+    #   ipywidgets
+    #   jupyter-console
+ipython-genutils==0.2.0
+    # via
+    #   ipywidgets
+    #   notebook
+    #   qtconsole
+ipywidgets==7.7.1
+    # via jupyter
+jedi==0.18.1
+    # via ipython
+jinja2==3.1.2
+    # via
+    #   nbconvert
+    #   notebook
+jsonschema==4.7.2
+    # via nbformat
+jupyter==1.0.0
+    # via -r requirements.in
+jupyter-client==7.3.4
+    # via
+    #   ipykernel
+    #   jupyter-console
+    #   nbclient
+    #   notebook
+    #   qtconsole
+jupyter-console==6.4.4
+    # via jupyter
+jupyter-core==4.11.1
+    # via
+    #   jupyter-client
+    #   nbconvert
+    #   nbformat
+    #   notebook
+    #   qtconsole
+jupyterlab-pygments==0.2.2
+    # via nbconvert
+jupyterlab-widgets==1.1.1
+    # via ipywidgets
+kiwisolver==1.4.4
+    # via matplotlib
+markupsafe==2.1.1
+    # via
+    #   jinja2
+    #   nbconvert
+matplotlib==3.5.2
+    # via
+    #   mizani
+    #   plotnine
+matplotlib-inline==0.1.3
+    # via
+    #   ipykernel
+    #   ipython
+mistune==0.8.4
+    # via nbconvert
+mizani==0.7.4
+    # via plotnine
+nbclient==0.6.6
+    # via nbconvert
+nbconvert==6.5.0
+    # via
+    #   jupyter
+    #   notebook
+nbformat==5.4.0
+    # via
+    #   nbclient
+    #   nbconvert
+    #   notebook
+nest-asyncio==1.5.5
+    # via
+    #   ipykernel
+    #   jupyter-client
+    #   nbclient
+    #   notebook
+notebook==6.4.12
+    # via
+    #   jupyter
+    #   widgetsnbextension
+numpy==1.23.1
+    # via
+    #   matplotlib
+    #   mizani
+    #   pandas
+    #   patsy
+    #   plotnine
+    #   scipy
+    #   statsmodels
+packaging==21.3
+    # via
+    #   ipykernel
+    #   matplotlib
+    #   nbconvert
+    #   qtpy
+    #   statsmodels
+palettable==3.3.0
+    # via mizani
+pandas==1.4.3
+    # via
+    #   -r requirements.in
+    #   mizani
+    #   plotnine
+    #   statsmodels
+pandocfilters==1.5.0
+    # via nbconvert
+parso==0.8.3
+    # via jedi
+patsy==0.5.2
+    # via
+    #   plotnine
+    #   statsmodels
+pexpect==4.8.0
+    # via ipython
+pickleshare==0.7.5
+    # via ipython
+pillow==9.2.0
+    # via matplotlib
+plotnine==0.9.0
+    # via -r requirements.in
+prometheus-client==0.14.1
+    # via notebook
+prompt-toolkit==3.0.30
+    # via
+    #   ipython
+    #   jupyter-console
+psutil==5.9.1
+    # via ipykernel
+ptyprocess==0.7.0
+    # via
+    #   pexpect
+    #   terminado
+pure-eval==0.2.2
+    # via stack-data
+pycparser==2.21
+    # via cffi
+pygments==2.12.0
+    # via
+    #   ipython
+    #   jupyter-console
+    #   nbconvert
+    #   qtconsole
+pyparsing==3.0.9
+    # via
+    #   matplotlib
+    #   packaging
+pyrsistent==0.18.1
+    # via jsonschema
+python-dateutil==2.8.2
+    # via
+    #   jupyter-client
+    #   matplotlib
+    #   pandas
+pytz==2022.1
+    # via pandas
+pyzmq==23.2.0
+    # via
+    #   ipykernel
+    #   jupyter-client
+    #   notebook
+    #   qtconsole
+qtconsole==5.3.1
+    # via jupyter
+qtpy==2.1.0
+    # via qtconsole
+scipy==1.8.1
+    # via
+    #   mizani
+    #   plotnine
+    #   statsmodels
+send2trash==1.8.0
+    # via notebook
+six==1.16.0
+    # via
+    #   asttokens
+    #   bleach
+    #   patsy
+    #   python-dateutil
+soupsieve==2.3.2.post1
+    # via beautifulsoup4
+stack-data==0.3.0
+    # via ipython
+statsmodels==0.13.2
+    # via
+    #   -r requirements.in
+    #   plotnine
+terminado==0.15.0
+    # via notebook
+tinycss2==1.1.1
+    # via nbconvert
+tornado==6.2
+    # via
+    #   ipykernel
+    #   jupyter-client
+    #   notebook
+    #   terminado
+traitlets==5.3.0
+    # via
+    #   ipykernel
+    #   ipython
+    #   ipywidgets
+    #   jupyter-client
+    #   jupyter-core
+    #   matplotlib-inline
+    #   nbclient
+    #   nbconvert
+    #   nbformat
+    #   notebook
+    #   qtconsole
+wcwidth==0.2.5
+    # via prompt-toolkit
+webencodings==0.5.1
+    # via
+    #   bleach
+    #   tinycss2
+widgetsnbextension==3.6.1
+    # via ipywidgets
+zipp==3.8.1
+    # via importlib-resources
+
+# The following packages are considered to be unsafe in a requirements file:
+# setuptools