Code Monkey home page Code Monkey logo

scipy_2017_notes's Introduction

  1. tutorials-day-1-2017-07-10
  2. tutorials-day-2-2017-07-11
  3. keynotes
  4. talks
    1. 2017-07-12
    2. 2017-07-13
    3. 2017-07-14
  5. lightning-talks

scipy_2017_notes

Links and notes for SciPy 2017.

What to know what happed last year?

Please help mainain the list! send a PR!

Lists of tutorials: https://scipy2017.scipy.org/ehome/220975/493418/

Proceedings: http://conference.scipy.org/proceedings/scipy2017/

Videos of talks and tutorials: https://www.youtube.com/playlist?list=PLYx7XA2nY5GfdAFycPLBdUDOUtdQIVoMf

JOSS (Journal of Open Source Software) Slides: https://doi.org/10.6084/m9.figshare.5208151

BoFs

Sprints

bit.ly/sprints2017

Tutorials Day 1 2017-07-10

Tutorial Repository Video
Software Carpentry Scientific Python Course Part 1 (Beginner) link
Cython for Data, Scientists, and Data Scientists (Intermediate/Advanced) link
Numba: Tell Those C++ Bullies to Get Lost (Intermediate) link
Automatic Code Generation with SymPy (Advanced) link
Modern Optimization Methods in Python (Intermediate/Advanced)
Software Carpentry Scientific Python Course Part 2 (Beginner)
Computational Statistics (Beginner) link
The Jupyter Interactive Widget Ecosystem (Intermediate/Advanced) link
HDF5 take 2: h5py & PyTables (Intermediate/Advanced) link
Interactive Data Visualization with HoloViews & Bokeh (Advanced)

Tutorials Day 2 2017-07-11

Tutorial Repository Video
Introduction to Numerical Computing with NumPy (Beginner) link
Pandas for Data Analysis (Beginner) link
Machine Learning with scikit-learn Part One (Intermediate) link
Parallelizing Scientific Python with Dask (Intermediate) link
Parallel Data Analysis in Python (Intermediate) link
Anatomy of Matplotlib (Beginner) link
scikit-image: Image Processing for Python (Intermediate) link
Network Science and Statistics: Fundamentals and Applications (Intermediate) link
Machine Learning with scikit-learn Part Two (Intermediate) link
Signal Processing and Communications Hands-On Using scikit-dsp-comm (Intermediate) link

Keynotes

Talks

2017-07-12

2017-07-13

2017-07-14

Lightning talks

scipy_2017_notes's People

Contributors

chendaniely avatar agramfort avatar orkohunter avatar enriquebrgn avatar remram44 avatar wtbarnes avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.