What we're about

We are an international mentorship group with a focus on helping more women and people who identify as women in a way significant to them become active participants and leaders in the Python open-source community. Our mission is to promote, educate and advance a diverse Python community through outreach, education, conferences, events and social gatherings.

PyLadies also aims to provide a friendly support network for women and a bridge to the larger Python world. Anyone with an interest in Python is encouraged to participate! If you'd like to participate in one of our events but have reasons not to have an online presence, please feel free to contact us.

Here is the global PyLadies Code of Conduct (http://www.pyladies.com/CodeOfConduct/). PyLadiesSF applies the more specific LadyNerds Code of Conduct (http://bit.ly/LadyNerds-CoC) because we are dedicated to providing a safe, inclusive, welcoming, and harassment-free space and experience for all members and guests, regardless of gender identity and expression, sexual orientation, disability, physical appearance, socioeconomic status, body size, ethnicity, nationality, level of experience, age, or religion (or lack thereof). The Code of Conduct exists because of that dedication. We do not tolerate harassment in any form and we prioritize marginalized people’s safety over privileged people’s comfort.

To contact us, please email sf@pyladies.com. This email address also accepts PayPal donations, or you can contribute at https://secure.meetup.com/PyLadiesSF/contribute/. We are officially part of the Python Software Foundation.

Upcoming events (5+)

Hands-On Python Project Night

Clover Health

Project Night - work on your own project or collaborate with others! Are you struggling with the peaks and pitfalls of learning Python for Data Science, Web Development, or just for fun? Do you want to collaborate on a Python project? We would love for you to join us at this weekly beginner-friendly workgroup. We do not provide content, but we encourage collaboration and assisting other beginners with what you have already learned. PyLadies, PyGents, all PyPeople are welcome. Please note all attendees should abide by the Code of Conduct :(http://bit.ly/LadyNerds-CoC) Beginners - Take these free Python resources to get you started on your coding journey: https://www.python.org/about/gettingstarted/ Interactive Python, Intro to Programming: http://interactivepython.org/runestone/static/thinkcspy/index.html Intermediate to Advanced: Interactive Python, Algorithms and Data Structures: http://interactivepython.org/runestone/static/pythonds/index.html Rithm School Free Courses (web development, algorithms): https://www.rithmschool.com/courses#python Python tutorials, tips and tricks: https://realpython.com/tutorials/ PyBites Code Challenges: https://codechalleng.es/challenges/?next=/ Logistics: A huge thank you to Clover Health https://www.cloverhealth.com/en/ for hosting us! Clover Health is located close to the Powell Street BART/Muni. Street parking is difficult to find. Clover Health is elevator access only. Bathrooms are gender specific with an accessible stall. There is no indoor bike parking. To stay in touch, go to PyLadies Slack http://slackin.pyladies.com/ and join #sf-hands-on-python or #bayarea channels!

fastai Deep Learning Study Group - SF

101 Howard St

This is a weekly Study Group where attendees have time to work on deep learning projects in a helpful and supportive environment. Many people who attend are using the fastai library on top of PyTorch to build models. This group is for intermediate level coders and deep learning newcomers to experienced practitioners. (Bring your laptop & charger!) __Agenda__: ** 6:00 - 7:15 (1h 15m) Get settled and work on your project! ** 7:15 - 7:30 (15m) Welcome & round robin introductions ** 7:30 - 7:45 (15m) Chat with people who inspire you or your Kaggle teammates ** 7:45 - 9:00: (1h 15m) Get more work done! We strongly recommend that deep learning newbies watch at least 3 fast.ai Deep Learning course videos (https://course.fast.ai/ ) and think about projects you are interested in before asking more experienced people for help. (https://www.kaggle.com/ is a great place for project ideas!) Join our Slack Workspace (http://bit.ly/JoinSlackFastaiSFbay) and channel #sg-sf (stands for "study group - sf") for questions about logistics (flag @Deena & @Molly) or to share links. We prefer you post code on the forum (https://forums.fast.ai/). If you avoid social media and therefore cannot signup via meetup, you are still welcome to these events, just show up and check in with the organizers. ----------------------------------------------------------------------------------------------------- We are looking for a dinner sponsor - if your company is interested, please email me: deenab7 'at' gmail 'dot' com Feel free to bring your dinner (there is a microwave in the hallway) ----------------------------------------------------------------------------------------------------- For more information check out these links: fast.ai home page: https://www.fast.ai/ fastai forum: https://forums.fast.ai/ PyTorch: https://pytorch.org/tutorials/beginner/blitz/cifar10_tutorial.html Keras: https://keras.io/ TensorFlow: https://www.tensorflow.org/tutorials/images/deep_cnn Chainer: https://github.com/chainer/chainer All attendees are expected to abide by the Code of Conduct: http://bit.ly/LadyNerds-CoC

Coding Study Group (Python, R, Webpage, AI, Data Science, Bioinformatics, etc)

This is a weekly Study Group for anyone who wants to improve their coding abilities. You will be able to code quietly, get help, help others, and learn. People of all identities are welcome. We offer two weekly 'workshops': (1) Deep Learning and (2) Introductory Python. We use the term workshop loosely - meaning all the people in the room are working on the same thing with Sean Farley's guidance. The best way to find out what this means is to show up and experience it! Also join the Slack channel (see below) and check out Sean's bio https://www.linkedin.com/in/seanmfarley/ and website www.Farley.io. ================================================================== *Deep Learning Workshop** from 12:30. https://course.fast.ai/ To find out which video join the Slack channel. Also, sign up for GCP's free $300: https://cloud.google.com/free/ **Introductory Python Workshop** from 1:30PM. To find out what the topic is please join the Slack channel, or look at the comment section here. ===================================================================== **If you have any trouble downloading or setting up for either of these workshops, please come an hour early so we can help you If you are a Python beginner these are some things you will need! First, make a decision: do you want to do data science or full stack development? . DATA SCIENCE - please download the following: **Mac** - Xcode (download from the App Store) - Homebrew (google: install homebrew & follow instructions) - Anaconda Python 3.7 version (https://www.anaconda.com/download/#macos) >> Note that Anaconda includes the following: python plus many python libraries (including numpy, pandas, matplotlib, etc) and Jupyter Notebook **Windows** - Anaconda Python 3.7 version (https://www.anaconda.com/download/#windows) **Linux** - Anaconda Python 3.7 version (https://www.anaconda.com/download/#linux) . FULL STACK - please download the following: **Mac** - Xcode (download from the App Store) - Homebrew (google: install homebrew & follow instructions) - Python 3 (type `brew install python3` into a terminal and hit enter. Read more here: https://wsvincent.com/install-python3-mac/) - VS Code (type `brew cask install visual-studio-code` into a terminal and hit enter. Read more here: https://www.code2bits.com/how-to-install-visual-studio-code-on-macos-using-homebrew/) **Windows** - Subsystem for Linux (https://docs.microsoft.com/en-us/windows/wsl/install-win10) - Python 3 (type `sudo apt-get install python3` into your new subsystem terminal and hit enter. Read more here: https://realpython.com/installing-python/) - VS Code (https://code.visualstudio.com/download) **Linux** - Python 3 (Read this: https://realpython.com/installing-python/) - VS Code (https://code.visualstudio.com/download) ------------------------------------------------------------------------------------------------------ New Attendees: Please show up as close to 10AM as possible. After checking in with security, head upstairs to find the group. For questions about this meetup, please message @Stephanie @leila_k or @Miriam through the PyLadies Slack workspace: To join the PyLadies Slack Workspace go to http://slackin.pyladies.com/ then join the study group channel "sunday10-2_sf". By signing up for this event you agree to abide by the PyLadies Code of Conduct http://www.pyladies.com/CodeOfConduct/ About Holberton School Holberton School is a community-driven school. We train full-stack software engineers in two years, using peer and project-based learning. Most of our keynotes and meetups are open to the community. Read more on the website (https://www.holbertonschool.com/)

Hands-On Python Project Night (Doors Close at 7)

Clover Health

Project Night - work on your own project or collaborate with others! Are you struggling with the peaks and pitfalls of learning Python for Data Science, Web Development, or just for fun? Do you want to collaborate on a Python project? We would love for you to join us at this weekly beginner-friendly workgroup. We do not provide content, but we encourage collaboration and assisting other beginners with what you have already learned. PyLadies, PyGents, all PyPeople are welcome. Please note all attendees should abide by the Code of Conduct :(http://bit.ly/LadyNerds-CoC) Beginners - Take these free Python resources to get you started on your coding journey: https://www.python.org/about/gettingstarted/ Interactive Python, Intro to Programming: http://interactivepython.org/runestone/static/thinkcspy/index.html Intermediate to Advanced: Interactive Python, Algorithms and Data Structures: http://interactivepython.org/runestone/static/pythonds/index.html Rithm School Free Courses (web development, algorithms): https://www.rithmschool.com/courses#python Python tutorials, tips and tricks: https://realpython.com/tutorials/ PyBites Code Challenges: https://codechalleng.es/challenges/?next=/ Logistics: A huge thank you to Clover Health https://www.cloverhealth.com/en/ for hosting us! Clover Health is located close to the Powell Street BART/Muni. Street parking is difficult to find. Clover Health is elevator access only. Bathrooms are gender specific with an accessible stall. There is no indoor bike parking. To stay in touch, go to PyLadies Slack http://slackin.pyladies.com/ and join #sf-hands-on-python or #bayarea channels!

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