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Search - "django server python"
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Was working on a Django thing (server-side, so no dynamicness as far as I'm aware?) under a contractor at my company.
Needed a popup to display results of a subprocess, so I asked "We're going to need to AJAX it, right?" and give brief justification. Guy says no - pretty much "Django 10/10 supports this, let me Google". Proceeds to send me a link to a python package that enables using popups as a way of inputting values for form fields. I see as much on the couple of images for the package demo/introduction, so I'm kind of just like "It doesn't look like it's what we need though..." But the guy says to trust him, and implement it.
A day later, after scrutinizing the demo code, and trying to figure out how to implement the package, I go back to him and say "I really really really don't think this is going to work" and give the same justification from the day before. He opens the demo code himself and follows the long trail of confusing methods and stuff.
After an hour of my sitting there watching him read the code and disappearing for 10 minute periods a few times, he comes to the conclusion "Okay you need to understand the code to implement it. But go ahead and use AJAX"
This is abridged and a few other super annoying things have been cut out, but I TRUSTED HIM.
I. TRUSTED. HIM.3 -
TL;DR :
"when i die i want my group project members to lower me into my grave so they can let me down one last time"
STORY TIME
Last year in College, I had two simultaneous projects. Both were semester long projects. One was for a database class an another was for a software engineering class.
As you can guess, the focus of the projects was very different. Databases we made some desktop networked chat application with a user login system and what not in Java. SE we made an app store with an approval system and admin panels and ratings and reviews and all that jazz in Meteor.js.
The DB project we had 4 total people and one of them was someone we'll call Frank. Frank was also in my SE project group. Frank disappeared for several weeks. Not in class, didn't contact us, and at one point the professors didn't know much either. As soon as we noticed it would be an issue, we talked to the professors. Just keeping them in the loop will save you a lot of trouble down the road. I'm assuming there was some medical or family emergency because the professors were very understanding with him once he started coming back to class and they had a chance to talk.
Lesson 1: If you have that guy that doesn't show up or communicate, don't be a jerk to them and communicate with your professor. Also, don't stop trying to contact the rogue partner. Maybe they'll come around sometime.
It sucked to lose 25% of our team for a project, but Frank appreciated that we didn't totally ignore him and throw him under the bus to the point that the last day of class he came up to me and said, "hey, open your book bag and bring it next to mine." He then threw a LARGE bottle of booze in there as a thank you.
Lesson 2: Treat humans as humans. Things go wrong and understanding that will get you a lot farther with people than trying to make them feel terrible about something that may have been out of their control.
Our DB project went really well. We got an A, we demoed, it worked, it was cool. The biggest problem is I was the only person that had taken a networking class so I ended up doing a large portion of the work. I wish I had taken other people's skills into account when we were deciding on a project. Especially because the only requirement was that it needed to have a minimum of 5 tables and we had to use some SQL language (aka, we couldn't use no-SQL).
The SE project had Frank and a music major who wanted to minor in CS (and then 3 other regular CS students aside from me). This assignment was make an app store using any technology you want. But, you had to use agile sprints. So we had weekly meetings with the "customer" (the TA), who would change requirements on us to keep us on our toes and tell us what they wanted done as a priority for the next meeting. Seriously, just like real life. It was so much fun trying to stay ahead of that.
So we met up and tried to decided what to use. One kid said Java because we all had it for school. The big issue is trying to make a Java web app is a pain in the ass. Seriously, there are so many better things to use. Other teams decided to use Django because they all wanted to learn Python. I suggested why not use something with a nice package system to minimize duplicating work that had already been done and tested by someone. Kid 1 didn't like that because he said in the real world you have to make your own software and not use packages. Little did he know that I had worked in SE for a few years already and knew damn well that every good project has code from somewhere else that has already solved a problem you're facing. We went with Java the first week. It failed miserably. Nobody could get the server set up on their computers. Using VCS with it required you to keep the repo outside of the where you wrote code and copy and paste changes in there. It was just a huge flop so everyone else voted to change.
Lesson 3: Be flexible. Be open to learning new things. Don't be afraid to try something new. It'll make you a better developer in the long run.
So we ended up using Meteor. Why? We all figured we could pick up javascript super easy.Two of us already knew it. And the real time thing would make for some cool effects when an app got a approved or a comment was made. We got to work and the one kid was still pissed. I just checked the repo and the only thing he committed was fixing the spelling of on word in the readme.
We sat down one day and worked for 4 straight hours. We finished the whole project in that time. While other teams were figuring out how to layout their homepage, we had a working user system and admin page and everything. Our TA was trying to throw us for loops by asking for crazy things and we still came through. We had tests that ran along side the application as you used it. It was friggin cool.
Lesson 4: If possible, pick the right tool for the job. Not the tool you know. Everything in CS has a purpose. If you use it for its purpose, you will save days off of a project.1 -
Running a fucking conda environment on windows (an update environment from the previous one that I normally use) gets to be a fucking pain in the fucking ass for no fucking reason.
First: Generate a new conda environment, for FUCKING SHITS AND GIGGLES, DO NOT SPECIFY THE PYTHON VERSION, just to see compatibility, this was an experiment, expected to fail.
Install tensorflow on said environment: It does not fucking work, not detecting cuda, the only requirement? To have the cuda dependencies installed, modified, and inside of the system path, check done, it works on 4 other fucking environments, so why not this one.
Still doesn't work, google around and found some thread on github (the errors) that has a way to fix it, do it that way, fucking magic, shit is fixed.
Very well, tensorflow is installed and detecting cuda, no biggie. HAD TO SWITCH TO PYHTHON 3,8 BECAUSE 3.9 WAS GIVING ISSUES FOR SOME UNKNOWN FUCKING REASON
Ok no problem, done.
Install jupyter lab, for which the first in all other 4 environments it works. Guess what a fuckload of errors upon executing the import of tensorflow. They go on a loop that does not fucking end.
The error: imPoRT eRrOr thE Dll waS noT loAdeD
Ok, fucking which one? who fucking knows.
I FUCKING HATE that the main language for this fucking bullshit is python. I guess the benefits of the repl, I do, but the python repl is fucking HORSESHIT compared to the one you get on: Lisp, Ruby and fucking even NODE in which error messages are still more fucking intelligent than those of fucking bullshit ass Python.
Personally? I am betting on Julia devising a smarter environment, it is a better language already, on a second note: If you are worried about A.I taking your job, don't, it requires a team of fucktards working around common basic system administration tasks to get this bullshit running in the first place.
My dream? Julia or Scala (fuck you) for a primary language in machine learning and AI, in which entire environments, with aaaaaaaaaall of the required dlls and dependencies can be downloaded and installed upon can just fucking run. A single directory structure in which shit just fucking works (reason why I like live environments like Smalltalk, but fuck you on that too) and just run your projects from there, without setting a bunch of bullshit from environment variables, cuda dlls installation phases and what not. Something that JUST FUCKING WORKS.
I.....fucking.....HATE the level of system administration required to run fucking anything nowadays, the reason why we had to create shit like devops jobs, for the sad fuckers that have to figure out environment configurations on a box just to run software.
Fuck me man development turned to shit, this is why go mod, node npm, php composer strict folder structure pipelines were created. Bitch all you want about npm, but if I can create a node_modules setting with all of the required dlls to run a project, even if this bitch weights 2.5GB for a project structure you bet your fucking ass that I would.
"YOU JUST DON'T KNOW WHAT YOU ARE DOING" YES I FUCKING DO and I will get this bullshit fixed, I will get it running just like I did the other 4 environments that I fucking use, for different versions of cuda and python and the dependency circle jerk BULLSHIT that I have to manage. But this "follow the guide and it will work, except when it does not and you are looking into obscure github errors" bullshit just takes away from valuable project time when you have a small dedicated group of developers and no sys admin or devops mastermind to resort to.
I have successfully deployed:
Java
Golang
Clojure
Python
Node
PHP
VB/C# .NET
C++
Rails
Django
Projects, and every single fucking time (save for .net, that shit just fucking works on a dedicated windows IIS server) the shit will not work with x..nT reasons. It fucking obliterates me how fucking annoying this bullshit is. And the reason why the ENTIRE FUCKING FIELD of computer science and software engineering is so fucking flawed.
But we can't all just run to simple windows bs in which we have documentation for everything. We have to spend countless hours on fucking Linux figuring shit out (fuck you also, I have been using Linux since I was 18, I am 30 now) for which graphical drivers for machine learning, cuda and whatTheFuckNot require all sorts of sys admin gymnasts to be used.
Y'all fucked up a long time ago. Smalltalk provided an all in one, easily rollable back to previous images, easily administered interfaces for this fileFuckery bullshit, and even though the JVM and the .NET environments did their best to hold shit down, and even though we had npm packages pulling the universe inside, or gomod compiling shit into one place NOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO we had to do whatever the fuck we wanted to feel l337 and wanted.
Fuck all of you, fuck this field, fuck setting boxes for ML/AI and fuck every single OS in existence2 -
How the Common Lisp Community will eventually die soon:
Clojure is the only main Lisp dialect having some sort of heavy presence in today's modern development world. Yes, I am aware of other(if not all) environments in which Lisp or a dialect of it is being used for multiple things, CADLisp, Guile Scheme, Racket, etc etc whatever. I know.
Not only is Clojure present in the JVM(I give 0 fucks about whether you like it or not also) but also has compilation targets for Javascript via Clojurescript. This means that i can effectively target backend server operations, damn near everything inside of the JVM and also the browser.
Yet, there is no real point in using Lisp or Clojure other than for pure academic endeavours, for which it is not even a pure functional programming language, you would be better served learning something else if you want true functional purity. But also because examples for one of the major areas in software development, mainly web, are really lacking, like, lacking bad, as in, so bad most examples are few in between and there is no interest in making it target complete beginners or anything of the like.
But my biggest fucking gripe with Lisp as a whole, specifically Common Lisp, is how monstrously outdated the documentation you can find available for it is.
Say for example, aesthetics, these play a large role, a developer(web mostly) used to the attention to detail placed by the Rails community, the Laravel community, django, etc etc would find on documentation that came straight from the 90s. There is no passion for design, no attention to detail, it makes it look hacky and abandoned. Everything in Lisp looks so severely abandoned for which the most abundant pool of resources are not even made present on a fully general purpose language constrained as a scripting environment for a text editor: Emacs with Emacs Lisp which I reckon is about the most used Lisp dialect in the planet, even more so than Clojure or Common Lisp.
I just want the language to be made popular again y'know? To have a killer app or framework for it much like there is Rails for Ruby, Phoenix for Elixir, etc etc. But unless I get some serious hacking done to bring about the level of maturity of those frameworks(which I won't nor I believe I can) then it will always remain a niche language with funny syntax.
To be honest I am phasing away my use of Clojure in place of Pharo. I just hate seeing how much the Lisp community does in an effort to keep shit as obscure and far away from the reach of new developers as possible. I also DESPISE reading other Lisp developer's code. Far too fucking dense and clever for anyone other than the original developer to read and add to. The idea that Lisp allows for read only code is far too real man.
Lisp has been DED for a while, and the zombies that remain will soon disappear because the community was too busy playing circle jerks for anything real to be done with it. Even as the original language of AI it has been severely outshined by the likes of Python, R and Scala, shit, even Javascript has more presence in AI than Lisp does now a days.9 -
Without a doubt it has to be the internal company search engine/file finding tool @thewamz and I wrote.
The company has a wide UNC network with files scattered all over the place and they need a way to keep track of where the files get moved to (they can and do get moved). The original tool was written in Java/Tomcat and didn't use any frameworks or utilities beyond custom written ones, no orms, and the SQL was just raw strings. The program didn't take into account that files might be moved or deleted so it never removed anything from the database, it just kept adding files and never removing them.
It however never stores files itself, just links to files elsewhere on the UNC network.
It took six months to get it into what might be a stable beta or release candidate state. The user interface is good, very simple and intuitive, the whole thing was rewritten in python/django, there were issues with utf 8 (and mysql not fully supporting utf 8 in its own utf 8 mode), we added a regex search mode (which was sorely lacking), the search used to take up to fifteen minutes however we sped it up to less than a minute (worst case when a user simply puts "^$" as the regex search). It has a multi threaded design which does some checks to ensure it doesn't spawn too many threads and get stuck in constant Gil switching. Still some bugs to fix, like moving the processing of results returned by the server in a web worker so that the content widget doesn't lock up processing millions of search results and moving the back end to use asynchronous python might gain a performance boost. But on the whole I think the system is ready to replace the older system that all the users are frustrated with and constantly complain about.
However the annoying bit is... How to actually get the new system online, while I am responsible for the development of tools and their maintenance, I am not responsible for their initial deployment and that means I have no idea when (or even if) my new tool will even ever be released :/ -
I've been wandering around with a brain itch for the past few days trying to pick an API framework.
I wanted to something fast and async, so I would normally use Go, but it's an interface to a python project, so I had to find a good asynchronous python web server.
Twisted provides async options, but they aren't baked in, and tornado/cyclone/airohttp are written in a weird way for someone coming from flask/Django.
Finally I resolved to use Falcon, because it was built for APIs and async by default, but it was crazy verbose to write. I settled in to write it anyway... But then I found the perfect library. Hug: https://github.com/timothycrosley/....
I can finally think clearly.
Now I can finally write my code... At least until I have to pick a framework for the rewrite of the web app.5 -
spent close to 3 hrs trying to figure out why my server wasn't serving my webpage (consisting of both static files and HTML) only to find out I deleted the content in the base file that all other files were supposed to extend from. Ah! a month's work! Thank God for version control. How did people survive before? 🤔1
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This summer I have a goal to master web development(nice joke, I know, but you get my point...). Html, CSS, Javacript, Python-Django etc and a website that is getting better all the time. But I have a big problem, something that really bothers me. I lack in understanding. I set up servers following tutorials and God help me if something doesn't work, I use patterns and libraries I barely know what they're made of, technologies that are totally strange to me. Right now, I'm totally confused of whether I need to have my database on a different server, or a dbaas, what the hell do I do if static files pile up etc. What can I do to get myself out of this path? Any books, courses, whatever, that teach not only the how but also the why? Thank you5
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So I'm working on this project in Django, right, and I've used it a lot. I love it, personally, I enjoy using it, it's great. And when I run it locally, it all works like a dream. Nothing is wrong, all behavior is as expected, all of that. Then I deploy it and let me tell you it is a DIFFERENT story. The same source code, same versions of Python and Django and what have you, same urlconf, but the thing DOESN'T WORK. Like most of it is fine. But posting an update to a database object throws a 404 (!!!works on the development server!!!), resetting passwords just sends you back to the index page (you get the email and the 'we just sent you an email' page on the development server). I think something is out to get me. I'm being haunted.6
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I'm in the big confusion . What are these things django, flask,ruby on rails ,servlets, in python and what is the use. I know it's a web application framework but what does it do.many terms like "JSON,XML,"and what is the relationship between those term above with server side and client side application.what if I learn above stuff and what job will I get ? I heard that service side job is more pressured than product based job.and what are the service based and product based jobs ?what are the course that I need to learn to join in product based job. I have no clear vision . Can any one give a clear vision about this9
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There's no official integration (package) for JWT in Java Spring?
I am new to Java Spring and want to create a simple RESTful server with JWT auth. Checked many tutorials, all of them involved creating your own JWT middleware to retrieve JWT token from incoming request and validate it using some 3rd party JWT library like jwtk/jjwt.
I am surprised this is not as simple as including a Spring JWT package and it would work out of box. I used to write a similar site using Python/Django, and for that adding JWT support is quite simple as adding "xxx.middleware.JWTAuthMiddleware".1