That's because you are a amazing! Here's how it works:

1. You'll need a GitHub account. You can sign up here.
2. Fork this repository by clicking the "fork" button.
3. Add your slide deck to the local (on your laptop) copy of the repository. To make it easy for people to find, we prefer that it be inside a directory that is a simpified version of the name of your paper. You can add other files too, if you like.
4. Add a link to it in the README file (please try to keep it alphabetical). The markdown syntax looks like this:

[Name of Paper - Name of Presenter](https://https://github.com/deniederhut/Slides-SciPyConf-2018/blob/master/url-to-your-folder)

5. Commit your changes: git commit -am "Submitting my slides!".
6. Push the changes to your fork: git push origin master
7. Open a PR to dniederhut/master (click the "open a pull request button")
8. Celebrate!

That's because you are awesome! See the list below:

• Addressing Multithreading and Multiprocessing in Transparent and Pythonic Methods - David Liu and Anton Malakhov [Repo | Slides]
• Binder 2.0: The Next Generation of Reproducible Scientific Environments with repo2docker and BinderHub - Chris Holdgraf and Min Ragan-Kelley
• Bringing ipywidgets Support to plotly.py - Jon Mease
• Building an object-oriented Python interface for the Generic Mapping Tools - Leonardo Uieda [Repo | Notebook]
• cis_interface: A Python package for connecting scientific models across scales and languages - Meagan Lang [Repo | Docs]
• Cloudknot: A Python library to run your existing code on AWS Batch - Adam Richie-Halford [Repo | Slides]
• Data Visualization for Scientists - Zan Armstrong
• dask-ml: scalable machine learning
• Detecting anomalies using statistical distances - Charles Masson
• Devops Empowered Data Science with Ansible - Tim Hopper
• Harnessing the Power of Scientific Python to Investigate the Biogeochemistry of the South Pacific - Noelle Held and Jaclyn Saunders
• Econ-ARK and HARK: Open Source Tools for Computational Economics - Matthew N. White
• ITK: The Insight Segmentation and Registration Toolkit - Matthew McCormick
• Pangeo: A Big-data Ecosystem for Scalable Earth System Science - Joe Hamman
• Safe Handling Instructions for Missing Data - Dillon Niederhut
• scikit-build: A Build System Generator for CPython C/C++/Fortran/Cython Extensions - Jean-Christophe Fillion-Robin
• "Resurrecting Ancient Proteins in Python" slides - Zach Sailer [Repo | Notebook]
• SatPy - A Python Library for Weather Satellite Imagery - David Hoese
• Should this Drug be Approved? A Bayesian’s Answer with Stan - Konstantinos Vamvourellis & Marianne Corvellec
• Sneaking Data into Containers with the Whole Tale - Kacper Kowalik
• UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction - Leland McInnes
• Website for interacting with oceanographic data and numerical model output - Kristen Thyng
• Yaksh: Facilitating Learning by Doing - Prabhu Ramachandran
• "Leveraging Jupyter, Rust, and WebAssembly for Browser-Based Visual Data Exploration" slides - Madicken Munk [Repo | Notebook]

• Introducing JOSE: The Journal of Open Source Education - Kyle Niemeyer
• Slicer, Python, Xeus and Jupyter - Jean-Christophe Fillion-Robin

• itk-jupyter-widgets: Interactive 2D and 3D Image Visualization for Jupyter - Matthew McCormick et. al.
• PyKED: a Python-based tool supporting data analysis and experimental reproducibility in combustion - Kyle Niemeyer & Bryan Weber
• Oxidizing Python: writing extensions in Rust - Luiz Irber