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I don't get the benefits of using TA-Lib abstract ¿is it speed? ¿less processing? I went through the documentation, examples, and code examples, but can't get it. ¿can anyone explain it?
EDIT: This question is not opinion-based, as you can see in the answer, it's about performance of the function API vs abstract API of ta-lib
This API allows you to list all TA functions implemented in DLL (because python's ta-lib module is just a wrapper around compiled C library) and call them by indicator name (a string), instead of hardcoding switch with 200+ cases and rebuilding your app every time TA-lib adds new indicator. It also allows you to get info about data that indicator requires which may be used to adjust UI for end user asking him to enter the required data. So this API is designed not for a python data scientists who play with single TA indicator, but for desktop and web programmers writing GUI applications or web services addressed to wide audience. There is no any performance benefits.
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For a college course, I have to produce a coding project over the course of 1 year. My current idea is a neural network that detects an image, processes what that image is, then reads it aloud in 2 different languages. My idea is to make this a website or a mobile app, and to use Python. Is this too ambitious? Or not ambitious enough? Or should I look at something completely different?
There are many approaches for your project. I‘ve listed some of them here.
For your website/app itself:
Either use a Python Library like Flask, Django or web for the backend part.
Even though plain HTML/CSS/JS would be enough for your frontend part of the project, you might use jQuery for simplifying the upload process of an image.
Image Classification:
To classify an image, you can either use a library like Tensorflow or PyTorch or just use an API like imagga (saving you a lot of work).
Now, turning the result to speech can be made possible by using Google‘s Text-To-Speech library „gtts“.
I hope I could help you,
wish you luck for the project 👍!
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I have a working R script. Can this be wrapped in a Python code so it can be deployed as an API ?
As mentioned in an earlier post, things that are not easy in R can be relatively simple in other languages. Another example would be connecting to Amazon Web Services. In relation to s3, although there are a number of existing packages, many of them seem to be deprecated, premature or platform-dependent. (I consider the cloudyr project looks promising though.)
If there isn’t a comprehensive R-way of doing something yet, it may be necessary to create it from scratch. Actually there are some options to do so by using AWS Command Line Interface, AWS REST API or wrapping functionality of another language.
http://jaehyeon-kim.github.io/2015/11/Quick-Test-to-Wrap-Python-in-R.html
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I want to create a new cytoscape app for analysing protein interaction but I don't know if I can use python or just java.
Great question. This is within scope of this forum.
The answer is "it depends". Cytoscape apps themselves must be Java (or something that runs in JVM, though there's only documentation support for Java and the forums will give best advice for Java).
However, the Cytoscape Cyberinfrastructure (CI) allows Python-based services (e.g., the Diffusion service) called by Cytoscape apps (e.g., the Diffusion app). The service must be deployed somewhere on the web (e.g., in a Kubernetes cluster).
If you'd like help with that route, you'll find enthusiastic support ... please e-mail the cytoscape-app-dev at googlegroups.com forum directly.
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I've written a bunch of VBA code for various things in Excel. I'm looking at migrating to libreOffice. Under Tool->Macros->Organize Macros: the two choices are LibreOffice Basic and Python.
Should I learn one of those, both, or something else. Am I wasting my time altogether? Any suggestions appreciated.
Python is the way to go.
Start here: http://wiki.python.org/moin/BeginnersGuide
And no, you're not wasting time.
You'll look back and say, why didn't I do it sooner.
Python's a great skill to learn - I use it for everything. It's the glue language for virtually every tool out there (you can even use it with .Net).
Documentation for Python + LibreOffice is however a bit sketchy currently, although I don't have much experience with Calc.
There is some work-in-progress documentation at http://documenthacker.wordpress.com (or soon www.documenthacker.com). It has examples for working with Writer, rather than Calc, but you might still find it useful.
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I need to develop a code that causes a currently open application (running in the background) to perform basic tasks when a certain condition is met.
Let me explain through a random example…
Imagine I am working on a Microsoft word document and I want it to print exactly every 10 minutes automatically, i.e. without having to physically click the print button. What options do I have to implement something like this? Obviously gaining access to the MS word source code is an option, but is their an easier way…perhaps using a python script?
Thanks,
David
Microsoft Office products, as well as Internet Explorer and some other programs expose a Component Object Model (COM) interface. You can find more detail about COM and how it applies to Python here (including examples). They often expose every action you could do manually in the applications, but are aimed at automation and artificial input.
For a more generic application, you could work with sending messages. There's a Windows function called 'postmessage', and another called 'sendmessage' which have several wrappers in Python.
By the way, the MS Word source code is not freely available.