What we're about

We are an international mentorship group with a focus on helping 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/contri... (https://secure.meetup.com/PyLadiesSF/contribute/). We are officially part of the Python Software Foundation.

Upcoming events (5)

ML/DL Project Cluster @Online Slack Group ( AI Machine & Deep Learning )

__Due to the Corona Virus__ We are hosting meetups online at (http://bit.ly/JoinSlackFastSFbay) and channel #sg-sf (stands for "study group - sf"), due to the corona virus. We will be following the fastai lectures, or you can talk about your own projects as well. This is a weekly PROJECT CLUSTER where attendees have time to work on projects that involve AI Machine or Deep Learning in a helpful and supportive environment. Many people who attend are using a fastai library on top of PyTorch (or Swift4TensorFlow) to build models. People using Keras and TensorFlow are very welcome too. This group is for intermediate level coders and ML/DL newcomers to experienced practitioners. (Bring your laptop & charger.) __Project Cluster Agenda__: ** 6:00 - 6:45 (45m) Get online, meet your seat neighbors, & start work ** 6:45 - 7:00 (15m) Welcome & project updates ** 7:00 - 9:00 (2h) Get more work done! We strongly recommend that ML/DL newbies watching a fast.ai course video (https://course.fast.ai/) or one of Andrew Ng’s videos before asking others for help. You can watch videos (with headphones) at the study group. Join our Slack Workspace (http://bit.ly/JoinSlackFastSFbay) and channel #sg-sf (stands for "study group - sf") to share links or for questions about logistics flag @Deena & @Molly. We prefer you post code on the forum (https://forums.fast.ai/). Get to know your hosts: Deena: https://www.linkedin.com/in/deena-blumenkrantz/ Molly: https://www.linkedin.com/in/molly-beavers-651025118/ All attendees are expected to abide by the Code of Conduct: http://bit.ly/LadyNerds-CoC If you avoid social media and therefore cannot sign up via meetup, you are still welcome to these events, just show up and check in with the organizers. 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

ML/DL Project Cluster @Online Slack Channel ( AI Machine & Deep Learning )

__Due to the Corona Virus__ We are hosting meetups online at (http://bit.ly/JoinSlackFastSFbay) and channel #sg-sf (stands for "study group - sf"), due to the corona virus. Please RSVP on Monday to make sure we have enough food! If asked our host is "Burkay Gur"! This is a weekly PROJECT CLUSTER where attendees have time to work on projects that involve AI Machine or Deep Learning in a helpful and supportive environment. Many people who attend are using a fastai library on top of PyTorch to build models. People using Keras and TensorFlow are very welcome too. This group is for intermediate level coders and ML/DL newcomers to experienced practitioners. (Bring your laptop & charger.) __Project Cluster Agenda__: ** 6:00 - 6:45 (45m) Get online, meet your seat neighbors, & start work ** 6:45 - 7:00 (15m) Welcome & project updates ** 7:00 - 9:00 (2h) Get more work done! We strongly recommend that ML/DL newbies watching a fast.ai course video (https://course.fast.ai/) or one of Andrew Ng’s videos before asking others for help. You can watch videos (with headphones) at the study group. Join our Slack Workspace (http://bit.ly/JoinSlackFastSFbay) and channel #sg-sf (stands for "study group - sf") to share links or for questions about logistics flag @Deena & @Molly. We prefer you post code on the forum (https://forums.fast.ai/). Get to know your hosts: Deena: https://www.linkedin.com/in/deena-blumenkrantz/ Molly: https://www.linkedin.com/in/molly-beavers-651025118/ All attendees are expected to abide by the Code of Conduct: http://bit.ly/LadyNerds-CoC If you avoid social media and therefore cannot sign up via meetup, you are still welcome to these events, just show up and check in with the organizers. 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

ML/DL Project Cluster @Online Slack ( AI Machine & Deep Learning )

__Due to the Corona Virus__ We are hosting meetups online at (http://bit.ly/JoinSlackFastSFbay) and channel #sg-sf (stands for "study group - sf"), due to the corona virus. This is a weekly PROJECT CLUSTER where attendees have time to work on projects that involve AI Machine or Deep Learning in a helpful and supportive environment. Many people who attend are using a fastai library on top of PyTorch to build models. Others use Keras and TensorFlow or Swift4TensorFlow. All are welcome! This group is for intermediate level coders and ML/DL newcomers through experienced practitioners. (Bring your laptop & charger.) This Project Cluster is sponsored by Capital One. We submit a list of names to their security at 3pm the Monday prior to the meetup. If you have not RSVPed by then, we cannot guarantee you entrance, but normally the security guard will take your name and let you in if you show up. __Project Cluster Agenda__: ** 6:00 - 6:45 (45m) Get online, meet your seat neighbors, & start work ** 6:45 - 7:00 (15m) Welcome & project updates ** 7:00 - 9:00 (2h) Get more work done! We strongly recommend that ML/DL newbies watching a fast.ai course video (https://course.fast.ai/) or one of Andrew Ng’s videos before asking others for help. You can watch videos (with headphones) at the study group. Join our Slack Workspace (http://bit.ly/JoinSlackFastSFbay) and channel #sg-sf (stands for "study group - sf") to share links or for questions about logistics flag @Deena & @Molly. We prefer you post code on the forum (https://forums.fast.ai/). Get to know your hosts: Deena: https://www.linkedin.com/in/deena-blumenkrantz/ Molly: https://www.linkedin.com/in/molly-beavers-651025118/ Sandeep: https://www.linkedin.com/in/sandeep-narayanaswami-60b16a64/ All attendees are expected to abide by the Code of Conduct: http://bit.ly/LadyNerds-CoC If you avoid social media and therefore cannot sign up via meetup, you are still welcome to these events, please DM @Molly and @Deena via Slack. 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

ML/DL Project Cluster @(Online Slack Channel) ( AI Machine & Deep Learning )

__Due to the Corona Virus__ We are hosting meetups online at (http://bit.ly/JoinSlackFastSFbay) and channel #sg-sf (stands for "study group - sf"), due to the corona virus. This is a weekly PROJECT CLUSTER where attendees have time to work on projects that involve AI Machine or Deep Learning in a helpful and supportive environment. Many people who attend are using a fastai library on top of PyTorch (or Swift4TensorFlow) to build models. People using Keras and TensorFlow are very welcome too. This group is for intermediate level coders and ML/DL newcomers to experienced practitioners. (Bring your laptop & charger.) __Project Cluster Agenda__: ** 6:00 - 6:45 (45m) Get online, meet your seat neighbors, & start work ** 6:45 - 7:00 (15m) Welcome & project updates ** 7:00 - 9:00 (2h) Get more work done! We strongly recommend that ML/DL newbies watching a fast.ai course video (https://course.fast.ai/) or one of Andrew Ng’s videos before asking others for help. You can watch videos (with headphones) at the study group. Join our Slack Workspace (http://bit.ly/JoinSlackFastSFbay) and channel #sg-sf (stands for "study group - sf") to share links or for questions about logistics flag @Molly. We prefer you post code on the forum (https://forums.fast.ai/). Get to know your hosts: Molly: https://www.linkedin.com/in/molly-beavers-651025118/ All attendees are expected to abide by the Code of Conduct: http://bit.ly/LadyNerds-CoC If you avoid social media and therefore cannot sign up via meetup, you are still welcome to these events, just show up and check in with the organizers. 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

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