yayyy my diversified weekend activity set:

either study to this: (some topics i already know but some i dont know that i need to learn from here surely, as i am very ignorant in this area) 

https://www.coursera.org/learn/basic-chemistry/home/welcome

either continue to simulator openmm learning and its deployment with CUDA and writing output files

either continue topology for coder ai project.

Among these alternative tasks, first one would be very fun since includes learning experience but I want to priotize practise currently now so I would follow with second one, then third one and then last first one. 

yayyy so some more openmm reading time to understand its mechanisms and run initial simulations with CUDA to learn more. and might not needing to attach to a visualizer renderer of the status of the atoms initially but might instead start to deploy machine learning algorithms to analyze the data from the simulation in real time to later bind to reinforcement learning algorithm to have this system iterate in design of nanobots. to print salad leaves to make salad :)  mayvbe also later fiber structure of tomato can be also printed with spectrometry of tomato fibers/inside crystals or fibers of it and or the liquid part either. to make the salad complete :) and also could be present pepper either i guess, and cheese yupp,. we need to make the perfect salad through nanobots molecular factories in this project goal. to construct some type of cheese with moleculart engineering and salad leaves and tomatoes either :) 

very early versions of nanobot technology products in these studies be used to create salad :) or print salad. 

this would need a nanotechnology lab at some point or else could figure out how to print these in macro world conditions with again reinforcement learning. e.g. could i create a garage lab to do a home based nanotechnology lab. might be possible by then or not i dont know. 

we might need Na and Cl for salt i mean material eleemtn sources in this lab surely or carbon and water we can get H2 o from hydrolysis, we would also might need other element sources or molecules. and some pressure aligning cups systems with constant pressure and plus magnetic field we should create. i think these might be possible to build in a home based lab if only spectrometer data of cheese/tomato salad were alreeady evailable. I guess I could ask that to a material science laboratory by then. 

i could first experiment with building building blocks e.g. fructose or fibers or else. then later with the product by then ready, i could go get spectrometry results to build the first salad with nanotechnology with printing food with nanobot workers. 

soo, in my diversified schedule (before it were all coder ai studies if when i study and dont rest), lets resume the open mm simulator deployment/learning experience and try to handle first output creations with cuda texture memory grab functions that i dont know how to use about yet, and lets try to use cuda to increase simulation speed, then lets try to write these data to a db system initially and a time series database or append to some files that then got streamed to spark solution that which runs machine learning algorithsm. I want to design initial machine learning algos today. even if i woke up very late today, 

some db solution search time. i searched first time series dbs like opentsdb or like. but might need to instead write data to text files than stream to spark and there we could partition wise store as some efficent columnar format or do store in some hbase or so type partition handled storage or my first idea is, there could be also jobs that merges these simulation data parquet files.

hmm so then in the streaming side eitgher with akka solutions or so, we could deploy some  reinforcement learning mechanism over. i never checked reinforcement learning libraries architectures i need to check that to understand how to integrate to the simulation data. 

yayyy lets test nominalist learning practices against the cartesian/dualist learning practices, aka, neural networks against cartesian approaches in this project's scope :) i mean lets first check nominalist practices aka generative design e.g. reinforcement learning/genetic programming algorithms like approaches. 

lets not mention even. yupp.

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yayyy back to my amazing day.

should i rent a bike and do mountain biking in this holiday town that resembles slightly arnavutkoy district, that last day when i walked, i saw some streets down to the river side, and from main street that river were visible like as if sea is visible in istanbul in arnavutkoys streets. 

this town is really like those towns holiday town like town. and there is right beside hills with lots of forest to do mountain biking.

i just by chance rented here whilst trying to find an urgent flat, but it turnbed out a very awesome town. 

i might soon rent a bike and do sometimes mountain biking. its really awesome like as if its a sea side town here, river looks like sea when you walk inside the town's one street (as i walked last day to go to pharmacdy) its really like holiday places. 

and when walked also saw some other street and saw that forest places starts very near to do mountaisn biking. i wished i rented a mountain bike already : )that i right away go to bike in the forestry or beside river. 

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yayyy one week i would have a bike and would bike to the vineyards there. or to the hills there. 

hmm. but today i think i am doing laziness to rent a per day bike. i would instead rent bike for 3 months or so. i mean leasing mountain bike options i mean. i think one option is 79 euros per month and its minimum necessitating 6 months renting time. i might either follow that since it also includes fixing bike services. but there is that is not mountain bikes there. i also saw leasing of mountain bikes but they are slightly more expensive but could be just for 3 months. to decide. though i dont have courage to do exact mountain biking like they bike over hills? i wont have such courage but would might bike in again hills but not hte edgy hills sides like mountain bikers do. 

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