pandas

Исследовательский анализ данных. Project for E-commerce. Product analysis, cohort analysis, RFM analysis in Python.

njson: efficient JSON-like data transformation tool. Provide high-performance JSON-like data transformation to and from nested parent-child and flat label-value data items, such as Pandas Series with MultiIndex index.

Various examples of some data analysis exercises.

Utilities for pandas

JSON-like data manipulation and transofrmation to and from nested parent-child and flat label-value data items.

FHIRPACK (FHIR Python Analysis Client and Kit) is a general purpose FHIR client and toolkit that simplifies the access, analysis and representation of FHIR and EHR data using PANDAS, an ETL philosophy and a functional syntax. FHIRPACK was designed and developed at IKIM MML (https://mml.ikim.nrw/) and HDDBS (https://dbs.ifi.uni-heidelberg.de/). Read more at https://zenodo.org/record/8006589

Allows user to open their bookmarked pages by using a search engine like interface.

The main database of the French National Health Data System (SNDS) contains data from Health Insurance reimbursements, hospital treatment and medical causes of death. In order to characterise its use for health research and innovation, an interactive cartography has been produced to understand the framework of its use and to identify the stakeholders of the SNDS ecosystem. A bibliographic search via PubMed (available here), LiSSa, HAL was conducted to identify scientific articles published starting January 2007 on studies using SNDS data. The list of authors, their affiliations, keywords, the number of citations and much more were collected. A descriptive analysis was carried out in order to assess temporal and geographical trends in the use of SNDS data. The graphs where generated with networkx, a python package used for the creation manipulation and study of complex networks. To generate the Author/Affiliations graphs we first create the adjacency matrix between the Authors/Affiliations and the article PMIDs. We then use the networkx.Graph class to create the needed undirected graphs, using the adjacency matrices as the data to intialize the graphs.

Python library to convert ros message streams to pandas dataframes.

A program that utilizes cluster computing and parallel programming to simulate trading strategies on the Nordic stock market.

Data Science Toolbox

Script to read the Mathecamp timetable and derive certain files for the organization of the Mathecamp.

This Car Prediction Project aims to predict v price, using Regression models. The project contains a collection of data files, model files, and Python scripts necessary for training and deploying car prediction Price models. This project encompasses a comprehensive set of data files, serialized models, and Python scripts necessary for training, evaluating, and deploying car price prediction models.

I created this project to show how to obtain a table from a website, process the data and then send it to Kaggle.

A dataframe library for Crystal.

Creation of a trading robot for data analysis and manipulation of the libraries Pandas, Numby, MatplotLib, Yfinance, Seaborn

Vamos a contruir un Chatbot Inteligente capaz de interpretar el lenguaje humano y generar respuestas coherentes con tu propia información