Journey to Jupyter
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This document introduces Jupyter, an open-source web application that allows users to create and share documents that contain live code, equations, visualizations and narrative text. It summarizes a workshop that was held to teach participants how to use Jupyter and empower them to explore, create and change through coding. The workshop provided examples of how Jupyter can be used across different fields and encouraged participants to discover how they could apply Jupyter in their own work.
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This document provides an overview and agenda for an upcoming webinar on Jupyter tools for scientific collaboration and education. It begins with introductions and then covers Jupyter Notebook for interactive and reproducible computing, JupyterHub for hosting and scaling notebooks, JupyterLab as the next evolution of the notebook interface, and next steps for the Jupyter community. Examples are given throughout of different uses of Jupyter in education, research, and industry. The document concludes by inviting participants to get involved in Jupyter through various means and announcing an upcoming Jupyter conference.
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This document discusses Project Jupyter, an open-source project that allows for interactive data science and scientific computing through Jupyter notebooks. It provides an overview of Jupyter notebooks and their use for "literate computing", highlighting examples in education, government, business, science, and collaboration. Key points include the ability of Jupyter notebooks to support exploratory data analysis, reproducibility, and narrative-driven communication of computational activities and results across many domains and audiences.
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This document discusses using JupyterHub for user group meetings and workshops to allow participants to "Learn All the Things" in a safe environment. It recommends trying JupyterHub for a future user group meeting or workshop as it allows a data scientist, developer, and devops professional to run Jupyter notebooks without worrying about breaking their own systems or not knowing where to start. It provides several links to resources about JupyterHub, including tutorials, reference deployments, and the JupyterHub documentation.
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This document provides guidance for contributing to the CPython project. It uses a musical metaphor of finding your groove. It recommends gathering the necessary tools like an editor and version control. It suggests checking out the CPython source code from its repository and learning about the code structure. It offers ways to listen and learn like watching Python videos. It encourages joining communities like mailing lists and sprints. It emphasizes that mistakes will happen but to keep trying new things. It provides examples of contributions like improving documentation and testing. The overall message is to enjoy the journey of contributing to the CPython project.
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The San Diego Python User Group document outlines their outreach and education efforts, including hack evenings with 74 members on their Meetup group, Google Hangouts for a large geographic area, and introductory education sessions on topics like Python, Pelican, Git, and data science libraries. It also discusses their K-12 education support through conferences and events, as well as upcoming initiatives like a new PyLadies logo, website, and more hacknights.
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This document promotes upcoming Python conferences in 2014, including PyCon in either Montreal or San Diego in March/April. It highlights the learning, networking, and development opportunities at PyCon, considered Python's premier conference, and also lists several other relevant regional events in locations closer to San Diego throughout the year, such as SCALE12x in February and the Geek Girl Tech Conference in June. It encourages attending PyCon for the opportunities it provides but notes local events can also be enjoyed without travel.
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Professor Michael Scott Cuthbert created music21, an open-source Python library for processing and analyzing music. Music21 allows users to create, analyze, and share music with just a few lines of code. It contains tools for reading, writing, and manipulating musical scores as well as higher-level tools for tasks like generating Roman numerals from chords and keys. Music21 brings together computer scientists, musicians, and music lovers into a community in the same way that Python does.
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This document outlines the agenda for the February Meetup hosted by Brightscope. The meetup included introductions from Brightscope developers, a question and answer session, and learning portions on beginning Python, version control with git, static site generators like Pelican, and science/data tools like NumPy and Pandas. The second half of the meetup was dedicated to hacking on projects like the PyLadies San Diego website and logo, as well as socializing and learning through example Pelican sites and documentation. The meetup aimed to provide opportunities for learning, collaboration, and getting more comfortable with programming.
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Journey to Jupyter
- 1. Welcome
- 2. Journey to Jupyter Explore, Empower, Change Qualcomm EmpowHERment Workshop July 17, 2015
- 3. Your guides Dr. Youwen Ouyang Carol Willing
- 7. Interactive
- 8. Iterative
- 9. Why?
- 10. Mentor and share SciPy 2014 @ UT-Austin Grace Hopper Celebration 2014 - Phoenix CSUSM Hackathon October 2014 CSUSM Women in Computing
- 11. San Diego Womens' Hackathon Hosted at Cal State San Marcos
- 12. Interact and engage Hour of Code 2014
- 13. Empower National Day of Civic Hacking 2015
- 14. Change San Diego Womens' Hackathon Bone health and Water conservation projects
- 15. How?
- 17. From data to visualization A few lines of code %matplotlib inline import pandas as pd import numpy as np import matplotlib from matplotlib import pyplot as plt import seaborn as sns ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000)) ts = ts.cumsum() df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index, columns=['A', 'B', 'C', 'D']) df = df.cumsum()
- 18. Examples
- 19. Who?
- 21. A peer using Jupyter http://www.jesshamrick.com/ https://developer.rackspace.com/blog/deploying-jupyterhub-for-education/
- 23. When?
- 25. Ways to learn more... Join Systers Get involved on campus User groups like PyLadies Conferences Ask questions
- 26. Thank you Presentation: http://bit.ly/empowher-jupyter Source code: http://bit.ly/empowher-source
- 27. Happy hacking!