yep again mentioned about c++ library challenges as usual.
its like blogging to other engineers hey this were this much challenging! (since this c++ coder is not knowledged in c++) that i blog alot every time.
(my blog has partial sectuons whihc i blog to other software engineers which is about all coding either spark/c++/flink whatever or category theory or sage whatever its coded. and its usually about something like, gosh come on, tjhis were utter hard! challenging! alike blogging:S since i am usually solo developer i need to tell how hard it were to develop these projects i code. solo development challenges. so i need some technical blog time to mention come on this is utter hard! i mean coding challenges. either its sage or coq or nlp translation of a 100gb enclylopedia of ttl to parquets in a single computer :S) its always a quite challenge to do coding challenges and there is blog parts in my blog which i blog to software engineer people about how hard coding challenges are. yep i think 40% of my blog is about coding challenges about. before it were about ml algos. now its temporarily about c++.
same in nlp side or scala or whatever task is very alot challenge in ml algos project.
i in ml algos side also blog like this. i mean in challenging tasks. e.g. nlp category diagrams. i blog alot about.
or when blogging about nlp translation tasks with flink or spark or jena.
i blog every challenge. alike this c++ blogging situation. this coder always tells how challenging coding projects are. whether its nlp category diagrams tasks. whether its c++ or nodejs.
of course challenges of hmm ml algos are much more.
e.g. still the big data challenge of nlp translation task resumes for encylopedia of humanity's knowledge.
that to accomplish in a single computer as you might understand is quite challeenge. i were at there.
setting up kubernetes clusters on computer and then running flink spark tasks alike to do accomplish that task of translating an encylopedia to knowledge diagram concepts of reading tll data of enclopedia to parquets.
that being just a beginner task of ml algos challenges. ml algos challenges are rather about actually theoretical.
i mean there is also a coq maths library type isomorphic/metaphric to coq library type challenges. (i mean self proving (although coq maths library is not that alike but i just gave as a metaphorical example of) logic systems writing where logic would be also intuitionistic maths alike) and kripkean logic systems binding all logic modules alike. coq is not the only maths library. coq wont be in the ml algos but i gave it as a metaphoric example of tasks to accpomplish writing something alike coq with intuitionistic logic systems based on category theory diagrams. and not with coq but that could be given as example of what tasks of logic systems are alike, i also can give example of sage library among existing libraries in academics side, but unlike coq sage would be introduced to ml algos imho. (to ml algos system, maybe with docker alike ) but i would need to code my own optimizer library to sage as told before. so might utilize sage unlike coq (to coq i only had read tutorials of just to get to learn about their methods). i worked out with sage learning 2 years ago times of project, but then decided its not suited to the module i were coding by then and switched to category theory. but sage has still is related to optimization related tasks later. i think by that module i would utilize sage library yep.
so challenges of ml algos be alike above. unlike c++.
its both fun to code ml algos but the challenges are also quite alot challenges. but different to c++ challenges of course more theoretical compared to coding a c++ library.
but this game dev project were also very challenging :S
i mean this c++ library were utter challenging :S this were the most intricate c++ code i ever written ever :S
so everytime some thing is very challenging i blog about the coding challenge of. e.g. hey mutexes are utter hard! there is lots of mutexes alike.
so if this blogging coding challenges might seem weird to you, its just because of its utter hard to develop these projects you know? developing c++ is utter hard :S (maybe because i am not a c++ coder :S )
so i every day blog about :S whether its ml algos or whether its this intricate c++ code :S
nbut surely ml algos challenges are most hard:S
e.g. that encylopedia task is utter hard :S
so everytime i encounter a challenge. e.g. last day challenge were mutex-> I definitely blog :S
or that c++ module became too intricate i blog about alot.
since its just too hard. only 1 developer development of the projects i develop its very hard.
developing a theoretical physics intended capable ml algos project for instance as a 1 developer -> :S quite alot challenging :S
or this c++ module (very intricate to code :S) again very hard to code it were :S( maybe because i had not coded c++ for a while i dont know:S)
so i blog about the coding challenges
of these very much challenges of projects.
hey so i clarified my blogging of coding behaviour. cause i am a single developer in immense coding challenges.
e.g. in ml algos i develop a theoretical physics capable ml project. :S s
or this writing an unreal game engine module new plugin where webrtc data channel is added.
these are utter immense coding challenges to do as a single developer.
so i then always utter blog about how hard its to develop these software projects as 1 developer.
thats to explain my behaviour of alot bloggin about code.
its because coding projects i do are not projects only one developer would code.
e.g. take this plugin. it would require least 3 or 4 developers to code. but coding as a single developer :S
or ml algos project? -> it would require least 15 or 10 developers to code. (although i then code as a single person but with extended time as a single developer)
so this is why i blog alot about . since projects i work to utter very hard coding projects. and working 1 developer is utter very hard/challenging.
so explained my behaviour of every day blogging about coding challenges the day before.
its very hard to be a 1 developer and develop projects which normally requires 3 to 10 developers/coder team etc:S
e.g.in previous failed game project-> can you imagine? i developed entire game (even if failed)
e.g. from png icons to blender with ai help and to all android tasks. -> games are usually developed with 3 to 5 people game studios. and i were not expert in blender.:S (usually in games some designer designs pngs/3d things alike right? i had to do it myself with both also ai but also me also working with blender to fix)
so everytime i am a single developer in projects i code to.
and its utterly hard :S
i do both blender work:S both theoretical maths and abstract maths work:S category theory work:S or c++/scala (e.g. jena?)/nodejs/flink etc etc.
its very hard to be a 1 developer. and then i always blog alot about coding challenges due to that.
so you might ask why you develop projects your own. because of the autonomy factor. I can design every design decisions on ml algos myself without a consensus. thats why i code and plus i think lots of time is lost to team communication or consensus of design decisions when working to projects as a team. but
and other projects that is not ml algos, i hadnot had time to setup a team. but for ml algos, reason i work as 1 developer is becaus eof that. but in other projects alike this plugin etc i just dont have time to setup a coder team to code it. nor for other software projects, i usually fail to setup a developer team (since i am autist and lack such skills like setting up team) eg in ml startup project i tried/failed before, i failed to find second engineer to code it. I am not talented in team setup for software projects.
but for ml algos i dont favor that. since i like designing all design decision for ml algos myself. if there were a team there need to be a consensus on that.
but then since i dont have a team i blog about every single challenge. alike daily meeting on mornings with a software developer team when working to software jobs.
e.g. last days challenge were lots of mutexes so in daily morning meeting.
so blog is like daily meeting talk. of telling mutexes are challenge currently. or the unmaintanable nonmodule feature of c++ library currently that needs to be fixed. (e.g. server/client modes in different modules alike)
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