Analysis

Plotting and analysis tools for ARTIS simulations

Artistools is collection of plotting, analysis, and file format conversion tools for the ARTIS radiative transfer code. Installation First clone the repository, for example: git clone https://github.com/artis-mcrt/artistools.git Then from within the repository directory run: python3 -m pip install -e . Usage Type “artistools” at the command-line to get a full list of commands. The most frequently used commands are: plotartisestimators plotartislightcurve plotartisnltepops plotartisnonthermal plotartisradfield plotartisspectrum Use the -h option to get a list of command-line arguments for each command. Most […]

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HTTP

Modest utility collection for development with AIOHTTP framework

aiohttp-things Modest utility collection for development with AIOHTTP framework. Installation Installing aiohttp-things with pip: pip install aiohttp-things Simple example Example of AIOHTTP application import json import uuid import aiohttp_things as ahth from aiohttp import web def safe_json_value(value): try: json.dumps(value) return value except (TypeError, OverflowError): return str(value) class Base(web.View, ahth.JSONMixin, ahth.PrimaryKeyMixin): async def get(self): self.context[‘Type of primary key’] = safe_json_value(type(self.pk)) self.context[‘Value of primary key’] = safe_json_value(self.pk) return await self.finalize_response() class IntegerExample(Base): pk_adapter = int class UUIDExample(Base): pk_adapter = uuid.UUID UUID = […]

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Data Scientists

A Python package for plasma science that is under development

PlasmaPy PlasmaPy is an open source, community-developed Python 3.7+ package for plasma science. PlasmaPy intends to be for plasma science what Astropy is for astronomy — a collection of functionality commonly used and shared between plasma scientists and researchers globally, running within and leveraging the open source scientific Python ecosystem. The goals of this project are more thoroughly described in this recent video. Current functionality is described in PlasmaPy’s online documentation. Installation If you have installed Python, you can install […]

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Flask

Neo4j Movies Example app with Flask backend using the neo4j-python-driver

Neo4j Movies Application: Quick Start This example application demonstrates how easy it is to get started with Neo4j in Python. It is a very simple web application that uses our Movie graph dataset to provide a search with listing, a detail view and a graph visualization. The Stack These are the components of our Web Application: Application Type: Python-Web Application Web framework: Flask (Micro-Webframework) Neo4j Database Connector: Neo4j Python Driver for Cypher Docs Database: Neo4j-Server (4.x) with multi-database Frontend: jquery, […]

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Generator

Certificate generating and sending system written in Python

Certificate Generator & Sender Certificate generating and sending system written in Python. How to use git clonehttps://github.com/saadhaxxan/Certificate-Generator-Sender.git cd Certificate-Generator-Sender Add base_file.png as your certificate file Replace demo.csv with you own csv file that must have 2 columns of Names and Emails Open up generator.py and add your own custom text for the certificate Run python generator.py in cmd Open up sender.py and add your email credentials Verify the certificates folder and then replace the subject and body of email with […]

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API

Spotify Web API client for Python 3

tekore Welcome to the GitHub repository of Tekore! We provide a client for the Spotify Web API for Python, complete with all available endpoints and authentication methods, async support and loads of additional features. Tekore allows you to interact with the API effortlessly. Here’s five lines to get you full access and start playing your top songs. import tekore as tk conf = (client_id, client_secret, redirect_uri) token = tk.prompt_for_user_token(*conf, scope=tk.scope.every) spotify = tk.Spotify(token) tracks = spotify.current_user_top_tracks(limit=10) spotify.playback_start_tracks([t.id for t in […]

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Python

Python Community Interview With Dustin Ingram

Today I’m joined by Dustin Ingram, a developer advocate at Google focused on supporting the Python community on Google Cloud. He is also a director of the Python Software Foundation (PSF) and a maintainer of PyPI. In this interview, we discuss how Google’s use of Python might differ from your own, what it takes to maintain PyPI, his goals as a PSF director, his love of PyCons, and more. Ricky: Thanks for joining me, Dustin. I’d like to start with […]

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Beginner, Classification, Machine Learning, NLP, Project, Python

Detecting Fake News with Natural Language Processing

This article was published as a part of the Data Science Blogathon 1. Introduction We consume news through several mediums throughout the day in our daily routine, but sometimes it becomes difficult to decide which one is fake and which one is authentic. Do you trust all the news you consume from online media? Every news that we consume is not real. If you listen to fake news it means you are collecting the wrong information from the world which can […]

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Machine Learning

A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography

CTSpine1K Note that for VerSe dataset partially visible vertebrae at the top or bottom of the scan (or both) were not annotated, while CTSpine1K annotated them, which caused the situation that in our previous-version paper the reported dice value on VerSe dataset is much lower than on CTSpine1K dataset (0.619 VS 0.840). Therefore, we annotated all visible vertebrea (see figure below) and recalculated the metrics(0.766 VS 0.840). We have updated our paper on arxiv and uploaded the completed annotations for […]

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Discord

Auto Moderation a powerful Moderation Discord Bot

Auto Moderation.py Auto Moderation a powerful Moderation Discord Bot. 🎭 Futures [x] Moderation [x] Auto Moderation 🚀 Installation git clone https://github.com/GMAX2/Auto-Moderation.py.git ⚙️ Configuration fill out the values in: main.py 22 : checklink = antilink[str(“YOUR-GUILD-ID”)] 29 : checkping = antiping[str(“YOUR-GUILD-ID”)] 36 : checkswear = antiping[str(“YOUR-GUILD-ID”)] 43 : checkspam = antiping[str(“YOUR-GUILD-ID”)] 321 : client.run(“BOT-TOKEN”) GitHub https://github.com/GMAX2/Auto-Moderation.py    

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