Explore projects
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Projet d'étude Equipe Morning White
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Anthony Lopez-Vito / DeliciousPy
MIT LicenseA utility for importing Delicious bookmarks into a MySQL database.
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Scrip en python que realiza la migración de data en libros de excel a una Base de Datos MySql
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Repository for web projects and vulnerability testing
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Full stack application with Vue.js front end and Flask API backend with MariaDB database.
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Control Point é um sistema de controle de ponto eletrônico online e offline que registra o dia de trabalho de um funcionário via web.
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Brian / dh_sortTableColumns
MIT LicenseChange column order in MySQL tables to be alphabetical, with some configurable sort exceptions.
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Small Flask demo app for interacting with my beer bottle database
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Employee attendance web app. The objective of this app is to recognise employees through face recognition, register attendance time and date. Other operations include adding employee data to system, update, delete and download attendance (PDF) sheet.
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Project Management system using angular and django
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containalytics / containalytics
GNU Affero General Public License v3.0"Cloud container data analytics, statistical modeling, and machine learning on distributed databases". "A free opensource alternative to SPSS, SAS, MATLAB, PowerBI, Tableau and Alteryx". Runs on Linux, Windows, MacOS, and in the cloud via containers.
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It contains all my projects I made in the past 2 years, including smaller programs and bigger applications, from backend to frontend, mainly coded in Java and Python.
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Brendan Macdonald / Speedtest
MIT LicenseThis is a python application that calls the Ookla Speedtest application and puts the JSON output in a mysql database using a port forwarding ssh tunnel.
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Скрипт получает созданные/измененные данные за определенный промежуток времени из реплики БД Битрикс24. Преобразовывает, трансформирует их и загружает в Google BigQuery.
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Within the Linux management world there is a need to improve security and reliability across multiple Linux platforms. This is difficult to do because each distribution maintains their own codebase and update platforms. This difficulty is compounded by an inability to collaborate across distributions for stable patch levels that meet the needs of both security and reliability. If you adopt a fix too soon, you increase your risk that an update breaks your environments. If you patch too late, you risk being vulnerable to critical bugs which affect performance, stability, and security. The principle workaround Linux administrators employ to counter this problem is to limit and reduce the distributions and versions of Linux acceptable to an enterprise. Within a single Linux distribution’s version, we find a single update platform. When you add disparate versions and distributions you create a linear impact on staff and resources needed to maintain the additional load. This problem leaves administrators with two options:
• Use automatic updates, which leave the system vulnerable to bad upstream patches • Use manual updates, which creates a technical support requirement and discipline.
This project addresses this problem and outlines an innovative solution that works across several Linux distribution platforms and versions.
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