What we're about

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 http://www.womenwhocode.com/tos

Privacy Policy:

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

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

Connect with #WWCode London:

WWCode London: https://womenwhocode.com/london

Twitter: https://twitter.com/wwcodelondon

Facebook: https://www.facebook.com/wwcodelondon

Facebook group: https://www.facebook.com/groups/wwcodelondon/

Slack: https://bit.ly/wwcodelondonslack

#WWCode Global Network

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

Upcoming events (5)

*** Online *** Workshop 2/4: Python for Data Analytics

Online event

Please note, this is an online event. You would need to install Zoom (https://zoom.us) in advance. Women Who Code London is excited to announce a series of 4 beginner-friendly workshops "Python for Data Analytics". ~~~~~~~~~~~~~~~~~~~~~~~~~ Prerequisites ~~~~~~~~~~~~~~~~~~~~~~~~~ Please install Python 3 (https://www.python.org/downloads/) and any suitable for you IDE (for example, Anaconda https://www.anaconda.com/products/individual or PyCharm Community https://www.jetbrains.com/pycharm/). ~~~~~~~~~~~~~~~~~~~~~~~~~ Schedule ~~~~~~~~~~~~~~~~~~~~~~~~~ 19:00 - 19:05 - Welcome speech and introduction from WWCode 19:05 - 21:05 - "Numpy and Matplotlib" ~~~~~~~~~~~~~~~~~~~~~~~~~ Talks ~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~~~~~~~~~ Speaker ~~~~~~~~~~~~~~~~~~~~~~~~~ Galyna Tabunshchyk (https://www.linkedin.com/in/galyna-tabunshchyk-53005959/) --------------------------------- === Bio === Galyna is a Professor of Software Tools Department at National University Zaporizhzhia Polytechnic (former Zaporizhzhya National Technical University). Her achievements include: - membership at the University Council in Internationalization; - managing Erasmus+KA1 and K2 projects in ZNTU; - supervising work of PhD students (2 PhD students successfully finished their works in 2015, 2017); - head of scientific research group of Reliability of Informational Systems at Software Tools Department; - preparing lectures, practical and laboratory studies in Object-Oriented Programming, Designing and Modelling of Software in Embedded Systems, Object Oriented Design, Software Quality Assurance, Software Project Management, Software Testing, Python for Data Analytics; - head of scientific research group in the Software Reliability Study at the Software Tools Department; - member of the program committee of the scientific conferences "Current problems and achievements in the field of radio, telecommunications and information technology" and "Computer Modelling and Intelligent Systems"; - developing e-learning courses; - member of the editorial board of scientific journal “Radioelectronics. Informatics. Control”. === Abstract === The aim of the workshop is to learn the possibilities of data analysis with python, including data preparation, data exploration and visualization and predictive modelling. Participants will get knowledge and skill in the basics of Python, libraries numpy, pandas, matplot, and will learn how to work with open-source data. ~~~~~~~~~~~~~~~~~~~~~~~~~ About Women Who Code ~~~~~~~~~~~~~~~~~~~~~~~~~ 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. Tweet Us https://twitter.com/wwcodelondon Email Us [masked] Follow Us https://www.facebook.com/wwcodelondon/ ~~~~~~~~~~~~~~~~~~~~~~~~~ Code of Conduct ~~~~~~~~~~~~~~~~~~~~~~~~~ WWCode London events are dedicated to providing inclusive & safe experiences for everyone. Before attending please read our code of conduct. Read the full version and access our incident report form at http://www.womenwhocode.com/codeofconduct

*** Online *** Workshop 3/4: Python for Data Analytics

Online event

Please note, this is an online event. You would need to install Zoom (https://zoom.us) in advance. Women Who Code London is excited to announce a series of 4 beginner-friendly workshops "Python for Data Analytics". ~~~~~~~~~~~~~~~~~~~~~~~~~ Prerequisites ~~~~~~~~~~~~~~~~~~~~~~~~~ Please install Python 3 (https://www.python.org/downloads/) and any suitable for you IDE (for example, Anaconda https://www.anaconda.com/products/individual or PyCharm Community https://www.jetbrains.com/pycharm/). ~~~~~~~~~~~~~~~~~~~~~~~~~ Schedule ~~~~~~~~~~~~~~~~~~~~~~~~~ 19:00 - 19:05 - Welcome speech and introduction from WWCode 19:05 - 21:05 - "Pandas" ~~~~~~~~~~~~~~~~~~~~~~~~~ Talks ~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~~~~~~~~~ Speaker ~~~~~~~~~~~~~~~~~~~~~~~~~ Galyna Tabunshchyk (https://www.linkedin.com/in/galyna-tabunshchyk-53005959/) --------------------------------- === Bio === Galyna is a Professor of Software Tools Department at National University Zaporizhzhia Polytechnic (former Zaporizhzhya National Technical University). Her achievements include: - membership at the University Council in Internationalization; - managing Erasmus+KA1 and K2 projects in ZNTU; - supervising work of PhD students (2 PhD students successfully finished their works in 2015, 2017); - head of scientific research group of Reliability of Informational Systems at Software Tools Department; - preparing lectures, practical and laboratory studies in Object-Oriented Programming, Designing and Modelling of Software in Embedded Systems, Object Oriented Design, Software Quality Assurance, Software Project Management, Software Testing, Python for Data Analytics; - head of scientific research group in the Software Reliability Study at the Software Tools Department; - member of the program committee of the scientific conferences "Current problems and achievements in the field of radio, telecommunications and information technology" and "Computer Modelling and Intelligent Systems"; - developing e-learning courses; - member of the editorial board of scientific journal “Radioelectronics. Informatics. Control”. === Abstract === The aim of the workshop is to learn the possibilities of data analysis with python, including data preparation, data exploration and visualization and predictive modelling. Participants will get knowledge and skill in the basics of Python, libraries numpy, pandas, matplot, and will learn how to work with open-source data. ~~~~~~~~~~~~~~~~~~~~~~~~~ About Women Who Code ~~~~~~~~~~~~~~~~~~~~~~~~~ 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. Tweet Us https://twitter.com/wwcodelondon Email Us [masked] Follow Us https://www.facebook.com/wwcodelondon/ ~~~~~~~~~~~~~~~~~~~~~~~~~ Code of Conduct ~~~~~~~~~~~~~~~~~~~~~~~~~ WWCode London events are dedicated to providing inclusive & safe experiences for everyone. Before attending please read our code of conduct. Read the full version and access our incident report form at http://www.womenwhocode.com/codeofconduct

*** Online *** Workshop 4/4: Python for Data Analytics

Online event

Please note, this is an online event. You would need to install Zoom (https://zoom.us) in advance. Women Who Code London is excited to announce a series of 4 beginner-friendly workshops "Python for Data Analytics". ~~~~~~~~~~~~~~~~~~~~~~~~~ Prerequisites ~~~~~~~~~~~~~~~~~~~~~~~~~ Please install Python 3 (https://www.python.org/downloads/) and any suitable for you IDE (for example, Anaconda https://www.anaconda.com/products/individual or PyCharm Community https://www.jetbrains.com/pycharm/). ~~~~~~~~~~~~~~~~~~~~~~~~~ Schedule ~~~~~~~~~~~~~~~~~~~~~~~~~ 19:00 - 19:05 - Welcome speech and introduction from WWCode 19:05 - 21:05 - "Predictive Modelling with Scikit-learn" ~~~~~~~~~~~~~~~~~~~~~~~~~ Talks ~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~~~~~~~~~ Speaker ~~~~~~~~~~~~~~~~~~~~~~~~~ Galyna Tabunshchyk (https://www.linkedin.com/in/galyna-tabunshchyk-53005959/) --------------------------------- === Bio === Galyna is a Professor of Software Tools Department at National University Zaporizhzhia Polytechnic (former Zaporizhzhya National Technical University). Her achievements include: - membership at the University Council in Internationalization; - managing Erasmus+KA1 and K2 projects in ZNTU; - supervising work of PhD students (2 PhD students successfully finished their works in 2015, 2017); - head of scientific research group of Reliability of Informational Systems at Software Tools Department; - preparing lectures, practical and laboratory studies in Object-Oriented Programming, Designing and Modelling of Software in Embedded Systems, Object Oriented Design, Software Quality Assurance, Software Project Management, Software Testing, Python for Data Analytics; - head of scientific research group in the Software Reliability Study at the Software Tools Department; - member of the program committee of the scientific conferences "Current problems and achievements in the field of radio, telecommunications and information technology" and "Computer Modelling and Intelligent Systems"; - developing e-learning courses; - member of the editorial board of scientific journal “Radioelectronics. Informatics. Control”. === Abstract === The aim of the workshop is to learn the possibilities of data analysis with python, including data preparation, data exploration and visualization and predictive modelling. Participants will get knowledge and skill in the basics of Python, libraries numpy, pandas, matplot, and will learn how to work with open-source data. ~~~~~~~~~~~~~~~~~~~~~~~~~ About Women Who Code ~~~~~~~~~~~~~~~~~~~~~~~~~ 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. Tweet Us https://twitter.com/wwcodelondon Email Us [masked] Follow Us https://www.facebook.com/wwcodelondon/ ~~~~~~~~~~~~~~~~~~~~~~~~~ Code of Conduct ~~~~~~~~~~~~~~~~~~~~~~~~~ WWCode London events are dedicated to providing inclusive & safe experiences for everyone. Before attending please read our code of conduct. Read the full version and access our incident report form at http://www.womenwhocode.com/codeofconduct

iOS / Swift Workshop
Needs a date and time

Needs a location

If you are interested in an iOS/Swift workshop - add your name to the waiting list here.

Past events (170)

*** Online *** Workshop 1/4: Python for Data Analytics.

Online event

Photos (742)