Once entered, they are required to defeat four powerful trainers and the champion(uses a variety of different pokemon types)įinally, this clarifies our goal: Can we create a helpful team in fighting these 12 trainers and probably the last one?. Having chosen, they embark on a journey to defeat eight gym leaders, specializing in a specific type, to enter a Pokemon league tournament.ģ. ![]() One starts as a lead character who can choose their first pokemon called stater pokemon out of 3.Ģ. The game mechanics also allow for powerful pokemon(legendaries) caught at the end of the game and give upper advantages to the yielder.ġ. Evolution allows an increase in overall strengths, changes in forms, and even provides additional typings.ģ. They can also undergo a genetic transformation two times called evolution. ![]() Each one has its primary Type and weakness or advantage over the others. Pokemon are animal-like creatures that are obtainable by battling them. This section is optional and contains a summary of game mechanics in a few points:ġ. Here is a quick summary of the gameplay, which will be helpful later on. ![]() This article is a walkthrough to perform just that using PuLp, the linear programming and optimization library. What if I say one can do this by having some knowledge of python, data science, and python. ![]() I am sure you must have played pokemon games at some point in time and must have hated the issue of creating an optimal and balanced team to gain an advantage. This article was published as a part of the Data Science Blogathon Introduction
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