Kickstart Python: Back to Basics

Jomo Kenyatta University Of Agriculture And Technology, CLB 103, Juja, 01001

GDG on Campus Jomo Kenyatta University of Agriculture and Technology - Juja, Kenya

Join the 'Kickstart Python: Back to Basics' workshop to refresh essential Python skills, including Variables, Data Types, and Control Flow. Learn to set up your development environment and install libraries. Enhance your skills and network with fellow tech enthusiasts. Bring your laptop and RSVP to secure your spot.

Sep 22, 2:30 – 4:00 PM (UTC)

15 RSVP'd

Key themes

Workshop / hands-on session

About this event

Join us for our 'Kickstart Python: Back to Basics' workshop, where we’ll dive into refreshing essential Python concepts such as Variables, Data Types, and Control Flow. This interactive session will also guide you through setting up your development environment and installing necessary libraries. Don’t miss this opportunity to enhance your skills and connect with fellow tech enthusiasts! RSVP now to secure your spot and bring along your laptop. See you there!
When

When

Tuesday, September 22, 2026
2:30 PM – 4:00 PM (UTC)

Organizers

  • Geoffrey Owuor

    Campus Lead

  • Olive Kibichum

    Campus Co-lead

  • Millicent Morara

    Jomo Kenyatta University of Agriculture and Technology(JKUAT)

    JKUAT Karen Campus Lead

  • Hope Macharia

    PR Lead

  • Anilla Wambaki

    Women In Tech Lead

  • RHODAH MULERA

    Cloud Track Lead

  • Kelvin Gichinga

    Codeward

    AI/ML Track Lead

  • Terence Otieno

    Jomo Kenyatta University of Agriculture and Technology

    DevOPs Track Lead

  • Robert Toroitich

    Web Dev Track Lead

  • Lampard Kipyegon

    JKUAT

    Datascience Tack Lead

  • Lukas Enoch

    GDG JKUAT

    Blockchain Track lead

  • Jecinta King'athia

    UI/UX Track Lead

  • DANIEL NDUNGU

    Cyber Sec Track Lead

  • Ibrahim Gichemba

    IoT Track Lead

  • Davis Oute

    IoT Track Co-Lead

  • Christian Cheruiyot

    Mobile Dev Track Lead

  • Wangui Mwangi

    Data Science Track Co-lead

  • AUDRY SAISI

    Jomo Kenyatta University of Agriculture and Technology

    Co-Lead Data Science