7 devlogs
5h 50m 53s
a website full of stem related simulations that can be either accessed using an api or viewed through an animation
- i switched from a 3 words -> 3 words markov chain to a 3 -> 1 word markov chain
- i somehow managed to decrease the run time from 5 minutes to 2 seconds
- i split the code into subroutines so it is easier to read and understand
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- i added the code for cleaning the text before markov chain generation
- i added the code for text prediction
- i texted it out with jane eyre
it works great, but some sentences are an extract from the book, so i want to increase the accuracy and randomness
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i’m going to make a text prediction model using the mathematics behind markov chains
- i’ve broken down problem into phrases, mainly training and text prediction, and broken these down into steps
- i’ve written the code for generating the markov chain during training
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PIVOT
i’ve decided to pivot this a little, and instead of it being a flask app of maths simulations, i want it to be a collaborative, open source collection of mathematical simulations implemented in multiple programming languages.
so i’ve shifted the programs into respective folders, deleted the flask app, and added coin_toss.swift and coin_toss.js.
going to start asking for collaborators now!
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- added an api route (post) for page rank which returns each page’s rank as a percentage in JSON
- created a function for coin toss
- created an api route for coin toss
- created a visualisation route for coin toss
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i created the algorithm for google page rank
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- i created the simulation code for a random walk which returns all the x and y points while the walk occurs
- i created a flask app
- i added an api route so that others can fetch the random walk data
- i used matplotlib to generate an image for 5 different random walks, and added a route to see the visualisation image
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