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15-minute-apps

15 minute (small) desktop apps built with PyQt

202104

Algoritmos de Clasificación

box-plots-sklearn

An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.

cafeteriabriocheflask

clean-code-python-es

Guía en español: Clean Code Python

colorref

La famosa teoría del color 🎨 llevada a código para ayudar a simplificar las elecciones del artista 👩‍🎨 dándole opciones y sugerencias sobre que Colores usar en su trabajo 🖌

cs22-slides-and-py-files

Slides and Python files used in my CS22 videos on youtube

curso-webscrapping-con-xpath-

curso webscrapping con xpath by platzi

cursodedocker

de_andresleal_practice

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

django-3-by-example

Django 3 by Example, published by Packt

edvai_andresleal

intelligent-projects-using-python

Intelligent Projects Using Python, published by Packt

learn-data-structures-and-algorithms-with-golang

Learn Data Structures and Algorithms with Golang, published by Packt

mediumdata

misiontic2022

MisionTIC2022 Repository

ml_sagemaker_studies

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

nare-app

Web App utilizada para ejecutar funcionalidades soporte para la homologación de pozos. Proyecto NARE

notes-on-causal-inference

Some notes on Causal Inference, with examples in python

platzi-mongo

En este repositorio se encuentra el código del proyecto platzi-mongo.

practical-docker-with-python

Source Code for 'Practical Docker with Python' by Sathyajith Bhat

practical-statistics-for-data-scientists

Code repository for O'Reilly book

proyecto-cafeteria-brioche

Proyecto para: Ciclo de desarrollo de software - MisionTIC2022

public-apis

A collective list of free APIs for use in software and web development.

pwptemp

pwptemp

seaborn-data

Data repository for seaborn examples

the-complete-python-and-postgresql-developer-course

The Complete Python and PostgreSQL Developer Course, published by Packt

time-series-eda-and-forecast

In this section, I begin with the excel file of sales data, which I obtained from the Tableau Community Forum. As a recall, the data contains mostly categorical variables and components of the vectors from the description column. The index column is a timeseries format. The major objective of this section is to understand the general trends in the data, and gain some quick insights, and then predict and forcast the Sales of the category "Technology" of the given sales data.The statistical significance of these observations will be also tested in 'Exploratory Data Analysis'.

web-apis-with-python

Code repository for exercises in the eBook WebAPI Development with Python