Immensely grateful to the @JamstackNairobi team for organising the awesome event and allowing me to do a technical presentation on @gridsome.
Looking forward to working with you to build the community further.
@_musebe@tessy_muiruri@wayne_gakuo
Spoke @JamstackNairobi today and I must say the African Tech Ecosystem excites me more everyday . We’re truly doing great work. Thanks to @_musebe ,@wayne_gakuo and @tessy_muiruri for organising this. Kwaheri ( Swahili for goodbye 👋🏾)
Jamstack is not about specific technologies. It’s a new way of building websites and apps that delivers better performance, higher security, lower cost of scaling, and a better developer experience.
#JAMStackNairobi@JamstackNairobi@jamstackconf@GatsbyJS
#flashbackfriday to our Cohort 4 launch in 2019.
Our new cohort 5 mentees will soon be receiving their acceptance emails. We are extremely happy to have you join us!
I have really had the privilege of working with A-class people in my life, especially @ KamiLimu. People who always turn up despite their schedules. People who are patient. People who are kind. The kind of People I can count on.
I am blessed to have these People around me.
2018 - Became a #DSC lead for @DSCKisiiUni , designed a really cool website for my club that is now being used by nearly 50 DSC chapters worldwide
2019 - Joined @WPPScangroup & got to design for Safaricom PLC, Equity Bank, KCB Bank, Absa Mauritius & KenyaBuzz
#MerryChrismas
There are other Computer Science Practices to apply around the code itself such as version control, code reviews, continuous integration, code coverage, and deployment, which has now spawned an entirely separate field of machine learning operations (MLOps).
@DeepLearningAI
Writing many short functions each of which does one thing well
Developing classes to implement related functions,
Proper naming conventions
Writing unit tests on the code and data
Writing code that is meant to be read, and not repeating code.
#DataScientist#DataScience
Good coding practices for Data Science
Whilst Data Science projects are more experimental and not as well-defined as software projects, following some good computer sci coding principles help increase efficiency and scale up data science projects.#MachineLearning#DeepLearning
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