Homework 2: Matplotlib and Data Visualization

Overview These data visualizations were created for my introductory computer science course using Python. I chose to create data visualizations on NBA players because I watched a lot of basketball with my dad growing up. The purpose of this homework assignment was to familiarize ourselves with Matplotlib and CSV files. Five Most Common Ages of NBA Players In this pie chart, I wanted to look into the five most common ages of NBA players. The percentages displayed on the pie […]

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Data Science Environment Setup in single line

This package helps to setup your Data Science environment in single line. Developed by Ashish Patel(c) 2020. datascienv datascienv is a python package offering a single line Data Science Environment setup. Installation Dependencies datascienv is tested to work under Python 3.7+ and greater. The dependency requirements are based on the datascienv package update release: Installation datascience is currently available on the PyPi’s repository and you can install it via pip: pip install -U datascienv If you prefer, you can clone […]

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BloodDonors: Built using Django REST Framework for the API backend and React for the frontend

By Daniel Yuan, Alex Tian, Aaron Pan, Jennifer Yuan As the pandemic raged, one of the side effects was an urgent shortage of blood donations throughout the world. As only 38% of the population is eligible to donate, it is imperative that we find a way to incentivize donors to continue to donate consistently and frequently to save the most lives. We decided to gamify the process and create a full stack web application to serve the needs of both […]

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Writing Idiomatic Python

What programming idioms are unique to Python? This course is both a short overview for people coming from other languages as well as an introduction for programming beginners to the idiomatic practices within Python. In this course, you’ll learn: How to access and interpret The Zen of Python How to set up a script How to test truth values How to swap variables in-place How to create Pythonic for loops    

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A minimal configuration for a dockerized kafka project

A minimal configuration for a dockerized kafka project. Usage: Run this command to build kafka and zookeeper containers, and create the network kafka-network, where your containers can access the endpoint kafka:29092. # creates the network `kafka-network` and build and # runs the containers for zookeeper and kafka docker-compose -f “docker-compose.kafka.yml” up -d –build # remove -d if you want to see logs in the same shell You can then run as many broker/consumer    

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Features terminal for python

Um programa para linux com diferentes ferramentas! Criador de QR code Gerador de senhas Teste de velocidade de Internet Timer Verificar integridade do sistema do Windows Atualizar terminal (Baseados em debian e Arch) siga os comandos abaixo para executá-lo. $ cd Features-terminal $ chmod +x execute_me.sh # ./execute_me.sh execute o arquivo bash como root para instalar o python e suas bibliotecas GitHub View Github    

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A two player snake game using python

This is a two player snake game How to play the game There is food and two players.You try to eat food to become large and gain points. Player one uses q and w to turn left and right, respectively.Player two uses o and p to turn left and right, respectively. Credits The game is inspired by the great Python/Turtle tutorials by Christian Thompson (wynand1004):https://github.com/wynand1004/Projects GitHub View Github    

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Attention-guided gan for synthesizing IR images

Attention-guided gan for synthesizing IR images This repository contains the Tensorflow code for “Pedestrian Gender Recognition by Style Transfer of Visible-Light Image to Infrared-Light Image Based on an Attention-Guided Generative Adversarial Network“. This code is based on the TensorFlow implementation of AGGAN provide by AlamiMejjati. I am working on updating to Tensorflow 2.0, and when it is updated, I will add a link to the new repository. Dataset ReGDB Database SYSU-MM01 Database Training revise .json file in configs folder make […]

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Automatically move or copy files based on metadata associated with the files

Automatically move or copy files based on metadata associated with the files. For example, file your photos based on EXIF metadata or use MP3 tags to file your music files. autofile uses a template system to specify the target directory and/or filename based on the file’s metadata. For example: Will move all mp3 files to new folders with Artist/Album naming scheme. The template system is very flexible and powerful allowing you to perform transforms on the metadata fields and use […]

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