mecomontes Goto Github PK
Name: Robinson Montes Gómez
Type: User
Company: Ingenieros Asesores
Bio: Bioengineer MSc in Basic Biomedical Science
Location: Medellín, Colombia
Name: Robinson Montes Gómez
Type: User
Company: Ingenieros Asesores
Bio: Bioengineer MSc in Basic Biomedical Science
Location: Medellín, Colombia
This is the backend version for the AirBnB clone. Implementing a console application developing in python, running in a Bash shell, and store the info in SQL database with a backup file in JSON file. This project was developing for Holberton School.
This is the frontend version for the AirBnB clone. My first steps in the frontend world using HTML, CSS, and JavaScript combining with python in the backend and SQL for the database.
This is just a console clone of AirBnB website that replies its database in a JSON file. Implementing a console application developing in python, running in a Bash shell, and using a JSON file as a database. This project was developing for Holberton School.
This is a Full review about testing. This PDF files contains the information abaout every kind of testing: Functional, Unittest, TDD, Manual and testing automamtion.
A project to implement Binary trees and binary Search trees in C language. In this project, I implement the basic operations but the most important topic surrounded binary trees as a recursive mode.
Some projects that shows my experience with C programming language and covers all the most important topics in low level programming including: Hash tables, linked lists, binary trees, pointers, arrays, syscalls, function pointers, etc...
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE. This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL).
This is a repo that you will use in the supplement to establish reproducibility and precision of your Data Science results. Each of the steps in the analysis should be clearly explained and you should ask questions when you don't understand what the analyst did.
Some scripts product of my courses for a Data Science specialization at Coursera platform. It contains every steps that a DAta Scientist shoud consider when planning and executes a project: Data Processing, Data Exploratory, Statistical Analysis, Machine Learning models, Publication, and Deployment.
Data Science Portfolio that contains some aesy examples for beginners in Data Science, and an excellent projects to keep learning about data analysis and Machine Learning models.
Exploratory Data Analysis for a Coursera specialization in Data Science from John HpkinsUniversity. A simple statistical visualization to exploring the data and take decisions starting from variable correlations.
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints. The key features are: Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). One of the fastest Python frameworks available. Fast to code: Increase the speed to develop features by about 200% to 300%. Fewer bugs: Reduce about 40% of human (developer) induced errors. Intuitive: Great editor support. Completion everywhere. Less time debugging. Easy: Designed to be easy to use and learn. Less time reading docs. Short: Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs. Robust: Get production-ready code. With automatic interactive documentation. Standards-based: Based on (and fully compatible with) the open standards for APIs: OpenAPI (previously known as Swagger) and JSON Schema.
Fix my code repository contains 2 challenges projects with issues to fix and improve your debugging skills in different programming languages such as Ruby, Python, C, JavaScript, Java, and Bash.
Flask projects including the basic REST applications with GET, PUT, UPDATE, DELETE HTTP methods, conection with different databases like Postgresql, MySQL and MongoDB, and basic Authentication with cookies, tokens and Auth 2.0.
This is an amazing project that I got facing in 2020. During a Skillshare internship, we need to generate a gamification proposal for the Skillshare education platform using React, D3js, Sequalize, and Express.
In this repository you could find the bases topics in higher level programming focused on Python, but it incluedes JavaScript, HTML, and CSS topics. The most important part is projects in python to work data structures, data processing, SQL database connection, and web development.
An interesting Web Scrapping Challenge called Hodor. The idea with this challenge was create several registesrs in a web page and voting for you, but every level has a new difficult that you need to use an agent, connect via proxy, or insert the captcha.
A lot of problems solved for a future interviews. There are several problems colected from hackerrank, code inspector, and other platforms that have used on technical interviews. The idea is to be prepared for a new job and enhance my algorithm knowledge.
A Bioinformatic tool to find mutations that cause Heteroresistance of MTB that is considered a preliminary stage to full resistance. Studies addressing the mechanisms underlying heteroresistance in TB are lacking so far. The aim of this tool is helping in studies of systematical causes of heteroresistance to Delamanid, Ethambutol, Etionamida, Streptomycin, Fluoroquinolones, Isoniazide, Pyrazinamide, and other antibiotics.
These Machine Learning projects were created during a Specialization at Holberton School. This repository contains different projects that cover maths, reinforcement, supervised, and unsupervised learning, data series analysis, transformers, aoutoencoders, and more.
A basic introductory course in several technologies that are involved in the FullStack Software developer path. It includes short basic tutorials in PHP, Go, Java, HTML, CSS, and cloud computing.
This repository contains several projects in fields like signal processing, numerical analysis, design, and materials selection. These were the main projects that I developed with data while I worked in a Biomaterials research group.
A workshop about Next Generation Sequencing (NGS) using the Samtools, BWA-mem, Trimmomatic, Picard-tools, and GATK to generate a full pipeline for NGS.
A couple of projects developed in OCTAVE for numerical analysis of Non-linear Equations, solve Defined Integrals, numerical solution of Ordinary and Partial Differential Equations, Interpolation, and Matrix methods.
Pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open-source data analysis/manipulation tool available in any language.
_printf is a function to do formatted printing. In this program we develop the function for simple printing and the format specificatrions printing. Depending of the content in the (), this functions use the simple printing or the use or specifiers.
A Molecular Dynamics simulation project of pyrazinamidase studying its influence in antibiotic resistance of pyrazinamide. The TIP3P water model as implemented in CHARMM (MacKerell) specifies a 3-site rigid water molecule with charges and Lennard-Jones parameters assigned to each of the 3 atoms. In GROMACS the fix shake command can be used to hold the two O-H bonds and the H-O-H angle rigid. A bond style of harmonic and an angle style of harmonic or charmm should also be used.
A repository that covers topics from basic algorithms to frameworks like Flask and FastAPI. It contains my whole experience with Python. It includes projects in pharmacokinetics, biomechanics, and Numerical methods
A very complete Python course from zero to hero working with data structures, APIs, Flask, Basic Machine Learning, Pandas, Linear Algebra, Probability aand statistics.
A great Coursera specialization from John Hopkins University based on R programming language. This repository contains a step by step to implement a Data Science project: Data Preprocessing, Data Exploratory Analysis, DAta Visualization, Data Cleaning, Statistical Analysis, and Machine Learning models.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.