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Hi all

guys I urgently require PuLP tutorials. Unless I am not searching the correct sources - as a newcomer to Python with the intent on upskilling as fast as reasonable possible(whilst similarly also testing Python as the preferred code to use for a new Optimisation team)- I have been looking for tutorials on PuLP. I am increasingly called upon to do a lot of Linear Problem solving ( Python was proposed as the best
Apart from one meaningful video on You tube , I have been unsuccessful to source others. Please direct me to PuLP tutorial ( video and otherwise) that can assist me. Also additional Python models I am not aware of , with a strong leaning towards LP.

Thanks
https://github.com/coin-or/pulp
https://pythonhosted.org/PuLP/main/the_o...ocess.html

I can't help any more than that, as this looks like unintelligible nonsense to non-mathematicians. The project description may as well read "PuLP is a thing that can generate orange flavored octopi for tastier sushi."
Thanks. digging into the " python hosted" site did however yield some positive results eg the beer Distribution, Blender and a few other PuLP problems . I would still like to have more You Tube videos on the topic ,but it is a decent starting point
Linear Programming, also sometimes called linear optimisation, involves maximising or minimising a linear objective function, subject to a set of linear inequality or equality constraints.

It has great applications in the field of operations management but can be used to solve a range of problems.

Leonard Kantrovich was awarded the 1975 Nobel Price in Economics for the optimal allocation of resources using linear programming.