Projects with this topic
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English: Python script to collect data from datasets and insert them into a Postgres database via ORM. It can be expanded to extract other data sources (such as PDFs, Word, CSV, etc.) and apply custom functions. It comes with an Excel spreadsheet of the State of Minas Gerais' expenses from 2005-2016 as an example of a dataset for collection.
pt-BR: Script Python para coletar dados de datasets e inserir em um banco de dados Postgres via ORM. Pode ser expandido para extrair outras fontes de dados (como pdf's, word, csv, etc) e aplicar funções customizadas. Acompanha um excel dos gastos do Estado de Minas Gerais do ano de 2005-2016 como exemplo de dataset para a coleta.
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postgresql_faker is a PostgreSQL extension based on the awesome Python Faker Library
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An example project that demonstrates local development, CI/CD and production setup for a full stack web app using Django, Django REST Framework, Django Channels, Postgres, VueJS, Redis, Celery, GitLab CI and AWS technologies deployed with CDK.
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This program finds the most common MeSH terms in a given category of COVID-19 Scientific Research Papers by using the Pubmed API, metamap, postgresql, and python. Uses the CORD-19 public research dataset.
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A set of command line scripts that conveniently configures self-signed server and client keys and certificates to accommodate secure SSL connections to a postgres server (typically, via pgadmin...)
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Gitlab Omnibus with CI/CD runners preinstalled and configured.
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Web application to design or optimize neural networks for given data set or math function.
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// college project //
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Extensions to the asyncpg postgres driver for python (3); notably, a NamedParameterQuery and NamedParameterConnection class that supports named parameters (as opposed to positional ones: $1, $2, ...)
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Create local and remote Django development environments in 20 minutes or less.
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multi-threads, postgres, mongo
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A job queue built on PostgreSQL's listen/notify functionality
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This repository contains a template of docker containers which includes django and more for building fast, robust, and adaptable docker containers.
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A back-end project using Flask, PostgreSQL, and Google sign-in.
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