Develop Reference

Deploy a Python application to web that interacts with local files

Background: Am comfortable in Python, know nothing about web deployment. I am looking into it as an alternative to compiling into .exe or .app for Win or Mac distributions.
Issue: I have a simple application that uses BeautifulSoup, openpyxl, and PySimplyGUI. It interacts with some local excel-files and creates new ones. I want to be able to, using minimum effort, make it accessible on my own web page or something similar, and make the created excel-files available for browsing/download. I have no idea how to do any of this. I've been looking into Flask and cloud foundry, but it feels like there should be some easy alternative that I'm missing. Ideally I would want a page where someone can log in (given a username and password I supply), which then directs to a page where the user can interact with my application.
Request: Is there a relatively easy way to do this that doesn't involve setting up a lot of stuff in html, etc., and where excel-files can still be interacted with by openpyxl? I ideally would just want some template, where I can "fill in the blanks" for the python method I would want to execute for each button!
Hope this makes sense. Thanks in advance :)

The easiest way to create a web app with a simple interface yet effective which does not require frontend programming is Streamlit. It is primarily used by data scientist to create simple web apps quickly.

Interact with local HTML file with python

I want to make a script in python that interacts with a webpage that has quite a lot of javascript in it (it's a webpage that computes a bunch of physics stuff).
I don't want my code to break if the page formatting changes and I want it to run offline so I would prefer my script to run on a local html copy of the page I got (all the JS code is accessible in the HTML source, there is no call to an external server). I wanted to use the requests library to do it, but it only works with URLs. Is there any library to do this? Note that I want to interact with the HTML (input values and look at the outputs etc..), I know that I can parse the file but that's not what I'm asking. I'm also totally new to web bots or anything related.
Right now I can open my .html version of the page offline with chrome and interact with it, so there has to be a way to automate this somehow. I'm also not against using something else than python if there is a better library for this in another language.

interesting question, best way I can think to do that is use a web framework and then just scrape the data using requests. I am familiar with flask and its simple to use but im sure there are other options as well

Integrating html, css, and python

I am building a web application that contains calculators for various industries. I am using html and css for the layout(color, size, etc). However, the core funtionality like arithmetic operations will be done using pure python programming and not javascript. So I will have html, css, and python files. Question is - how can I link my python file to html?

You can't use python to run in the browser on the client's machine in the same way as JS, just because browsers are built to execute JS and not Python. However if all you want to do in the python is backend work, that is definitely possible.
I would suggest looking at Flask a popular python web framework that is quite easy to get started with.

I could think of two easy ways right away, either stick to a solid framework, like django. Or you can make python scripts that manipulate .js files since text manipulation is easy and fun in python. But there are many more possibilities, like Flask and more.

You can use Brython
Brython is designed to replace Javascript as the scripting language for the Web. As such, it is a Python 3 implementation (you can take it for a test drive through a web console), adapted to the HTML5 environment, that is to say with an interface to the DOM objects and events.

If the only function you want from the python(and the server side in general) is the calculation, I would suggest taking a serverless structure. It's simpler, less low-level work, easier to upgrade and scalable.
An example of build one with python is with Zappa (AWS lambda)

I know I'm two months late, but if you're still set to using Python with your HTML/CSS website, it is completely doable.
However, as the previous answer mentioned, if it is only for calculations and light functionality, you're better off using javascript.
Please refer to this link to get an idea on how to integrate python using Flask with your HTML website.

I would recommend you to use flask as a backend as big platforms such as youtube use Django(which is a python framework). And I am sure that js is powerful that it can handle arithmetic operations you can check the webs out for that. But if you want to use flask it is very easy here is the basic structure
from flask import Flask, render_template
import pyautogui
app = Flask(__name__)
#app.route('/')
def index():
return render_template('index.html')
app.run()
Keep in mind that python is limited to things and it would be hard to publish a website with python as backend

Will learning Django translates well into other applications?

Does anyone have experience using Python in different variaty of applications?
A little background - I am a 3D artist in an animation studio. I do programming in PHP and use Zend framework for my personal project. Python has always been a language I wanted to learn because it can be used within many applications our studio is using (3D MAX, MAYA to name a few) My supervisor knew about my web background and wanted me to create a web base time line manager for the company. From the requirement I'm expecting quite a simple backend ... so it might be a good opportunity to finally learn Python. The bulk of the work will be on AJAX for the interactive front end.
So if I learn Python with web application and Django in mind, will that limit my Python skill from applying it to other applications?
a little curious about Django features as well. How well does the framework cover in terms of web application compare to Zend? Our application is pretty basic in the back end and I would love to know if Django will be able to cover them.
authenticate against Windows active directory
quick database update via AJAX interaction (drag and drop time line mostly)
Other basic stuff like discussion forum and directory browsing/file manager

So if I learn Python with web application and Django in mind, will that limit my Python skill from applying it to other applications?
No
authenticate against Windows active directory
Yes. You may need to customize an Authentication Backend.
quick database update via AJAX interaction (drag and drop time line mostly)
Django has nothing to do with Ajax. Use piston to create pleasant RESTful API that Ajax can use.
Other basic stuff like discussion forum and directory browsing/file manager
There are many, many canned applications for Django that you can plug in and integrate.

I love python as a language - but it's not the answer to everything. I know this is throwing mud in a python group, but python has one serious limitation - the rigid source code format.
While going through a django tutorial - I noticed that you cannot insert python source code into a template, and that this was presented as a 'feature' for separating programmers and designers.
I later realized that it's a limitation of django - and any other environment where python source code might get accidentally mangled. This also includes HTML WYSIWIG editors and database based 'manglers' (like Drupal).
In my opinion it's a very serious limitation with no easy cure - especially with the need to use other tools to manage the complexity of HTML / CSS / JavaScript.

I found Django a really good way to learn python. There's very little that's quirky, magical or un-pythonic in the framework. A bit of setup and you're away, writing standard python code.

python semantic proxy/server, which framework to use?

This year me and a friend have to make a project for the final year of university. The plan is to make a proxy/sever that allows to store ontologies and RDF's, by this way this data is "chained" to a web, so you can make a request for that web and the proxy will send you the homepage with metadata.
We have been thinking to use python and rdflib, and for the web we don't know which framework is the best. We thought of django, but we think that is very big for our purpose, and we decided that webpy or web2py is a better option.
We don't have any python coding experience, this will be our very first time. We have been always programming in c++ and java.
So taking into account everything we've mentioned our question is, which would be the best web framework for our project? And will rdflib suit fine with this framework?
Thanks :)

I have developed several Web applications with Python framworks consuming RDF data. The choice always depends on the performance needed and the amount of data you'll have to handle.
If the number of triples you'll handle is in the magnitude of few thousands then you can easily put together a framework with RDFlib + Django. I have used this choice with toy applications but as soon as you have to deal with lots of data you'll realise that it simply doesn't scale. Not because of Django, the main problem is RDFlib's implementation of a triple store - it is not great.
If you're familiar with C/C++ I recommend you to have a look at Redland libraries. They are written in C and you have bindings for Python so you can still develop your Web layer with Django and pull out RDF data with Python. We do this quite a lot and it normally works. This option will scale a bit more but won't be great either.
In case your data grows to millions of triples then I recommend you to go for a Scalable Triple store. You can access them through SPARQL and HTTP. My choice is always 4store. Here you have a Python client to issue queries and assert/remove data 4store Python Client