What we're about

Join us by attending a WWCode event or signing up at http://www.womenwhocode.com .

Women Who Code is the largest and most active community of engineers dedicated to inspiring women to excel in technology careers. We envision a world where women are representative as technical executives, founders, VCs, board members, and software engineers. Our programs are designed to get you there.

Who should join?

Our community is for professional women in technology careers, including software engineers, developers, UX/UI designers, data scientists and more. Current and aspiring coders are welcome. Bring your laptop and a friend!

What to expect?

Our events offer free hands on technical events, study groups, panel discussions, lightning talks, and keynotes featuring influential tech industry experts, innovators, and investors. We help you build the skills you need to raise your professional profile and achieve greater career success.

Support us:

WWCode relies on donations to support this catalytic movement. Funding directly impacts our ability to deliver programs and expand to more cities, ensuring that even more women have the opportunity to excel in tech careers. womenwhocode.com/donate

Share a Job with our Community:

Post your jobs on the Women Who Code Job Board and hire from our exclusive community of technical professionals. Get started at womenwhocode.com/companies.

Code of Conduct:

WWCode is an inclusive community, dedicated to providing an empowering experience for everyone who participates in or supports our community, regardless of gender, gender identity and expression, sexual orientation, ability, physical appearance, body size, race, ethnicity, age, religion, socioeconomic status, caste, creed, political affiliation, or preferred programming language(s). Our events are intended to inspire women to excel in technology careers, and anyone who is there for this purpose is welcome. We do not tolerate harassment of members in any form.

Our Code of Conduct applies to all WWCode events and online communities. Read the full version and access our incident report form at http://www.womenwhocode.com/codeofconduct

Terms of Service:

Everyone who participates in our community agrees to abide by our Terms of Service. Read it at www.womenwhocode.com/tos

Privacy Policy:

Everyone who participates in our community agrees to abide by our Privacy Policy.

Read it at www.womenwhocode.com/privacy-policy

Connect with #WWCode Silicon Valley:

WWCode Silicon Valley: womenwhocode.com/sv
Twitter: twitter.com/wwc_sv
Facebook: facebook.com/groups/womenwhocodesiliconvalley

#WWCode Global Network

Facebook: facebook.com/womenwhocode
Twitter: twitter.com/womenwhocode
Code Review: bit.ly/WWCodeReview
Github: github.com/orgs/WomenWhoCode
womenwhocode.com

Upcoming events (5)

Hiking with WWCode - Peninsula

Rancho San Antonio County Park and Open Space Reserve

Lets go Hiking with WWC! We tend to sit at our computers a lot. Take a hike and talk coding, find/plan meetups you'd like, do some networking and just have fun. Start time will be 9 am, and if we don't hear from you we will start walking around 9.10. Be sure to check the day before for any changes. Plan on being on time! Parking is often hard to find. The GPS takes you to the Cemetery, that is NOT where we are meeting. Enter the Rancho San Antonio County Park, make a right turn and drive all the way down to the last parking lot, until you see the restroom (small building with green roof) we meet in front of the restroom. Tips of parking: Any parking lot up on the hills are fine too. Just stay at one parking lot and wait for someone to come and take their car for a parking spot to empty up - this way is faster to find a spot than to keep driving round and round looking for an empty spot. Also, please change your RSVP to NO if you cannot make it, that way we do not wait too long. Hiking could take around 2 hrs. Trail could be muddy in rainy season. Looking forward to meeting you! WWC Silicon Valley

Introduction to Machine Learning Workshop

Needs a location

It has become quite common these days to hear people refer to modern machine learning systems as “black boxes” - data goes in, decisions come out, but the processes between input and output are disconnected. This series is aimed at teaching the core concepts of machine learning by looking into the “black box” and understanding the math behind an algorithm. Popular Python packages will be used to implement these machine learning models on interesting datasets. This series will be a 6-week series. Week 1: Introduction Week 2: Supervised Learning - Classification 1 Week 3: Supervised Learning - Classification 2 Week 4: Supervised Learning - Regression 1 Week 5: Supervised Learning - Regression 2 Week 6: Supervised Learning - Model Evaluation More details to follow. We are still looking for hosts.

Introduction to Machine Learning Workshop

Needs a location

It has become quite common these days to hear people refer to modern machine learning systems as “black boxes” - data goes in, decisions come out, but the processes between input and output are disconnected. This series is aimed at teaching the core concepts of machine learning by looking into the “black box” and understanding the math behind an algorithm. Popular Python packages will be used to implement these machine learning models on interesting datasets. This will be a 6-week series in which we will cover the following topics Week 1: Introduction Week 2: Supervised Learning - Classification 1 Week 3: Supervised Learning - Classification 2 Week 4: Supervised Learning - Regression 1 Week 5: Supervised Learning - Regression 2 Week 6: Supervised Learning - Model Evaluation More details to follow. We are still looking for hosts.

Introduction to Machine Learning Workshop

Needs a location

It has become quite common these days to hear people refer to modern machine learning systems as “black boxes” - data goes in, decisions come out, but the processes between input and output are disconnected. This series is aimed at teaching the core concepts of machine learning by looking into the “black box” and understanding the math behind an algorithm. Popular Python packages will be used to implement these machine learning models on interesting datasets. This will be a 6-week series in which we will cover the following topics Week 1: Introduction Week 2: Supervised Learning - Classification 1 Week 3: Supervised Learning - Classification 2 Week 4: Supervised Learning - Regression 1 Week 5: Supervised Learning - Regression 2 Week 6: Supervised Learning - Model Evaluation More details to follow. We are still looking for hosts.

Past events (602)

Hiking with WWCode - Peninsula

Rancho San Antonio County Park and Open Space Reserve

Photos (744)