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Event

Solving Optimisation Problems with Linear Programming

2025-06-25 – 2025-06-25 Meetup Visit website ↗

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Join us on June 25th 2025 for DevDay. This event will be in person, live online and with talks being recorded.

Sahaj Software’s Sagar Khandelwal will provide a practical introduction to linear programming, empowering you to effortlessly solve real-world optimisation challenges. It is a gentle, practical introduction to linear programming— the mathematical technique used to allocate limited resources, optimise schedules, and maximise outputs under constraints.

Why Attend: Discover how to identify optimisation opportunities within your projects and solve them programmatically, without the need for complex mathematical derivations.

Hands-On with Python: Experience practical application as we explore how free Python libraries, such as PuLP, enable you to frame and solve sophisticated optimisation problems with just a few lines of code.

Who Should Attend: This event is tailored for developers, product managers, data enthusiasts, and anyone keen on practical problem-solving and data-driven decision-making.

Attendees will leave equipped with the essential tools and confidence to apply linear programming techniques to their own challenges, facilitating data-driven decisions that maximise efficiency and impact. Unlock the potential of optimisation and enhance your problem-solving capabilities. Reserve your spot today! https://lnkd.in/gYR4rehD

📍Location Sahaj Software 1 Quality Court, London WC2A 1HR

🕚 The evening schedule

  • 6.00pm - 6:30pm - Networking & refreshments
  • 6:30pm - 6:50pm - Discussion + Q&A
  • 6.50pm - 7:00pm - break
  • 7:00pm - 7:20pm - Discussion + Q&A
  • 7:30pm - 8:00pm - Networking & refreshments

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Practical introduction to linear programming

2025-06-25
talk

A practical introduction to linear programming, empowering you to solve real-world optimisation challenges. It is a gentle, practical introduction to linear programming— the mathematical technique used to allocate limited resources, optimise schedules, and maximise outputs under constraints. Hands-On with Python: learn how free Python libraries, such as PuLP, enable you to frame and solve sophisticated optimisation problems with just a few lines of code.