A JupyterLab extension providing, SQL formatter, auto-completion, syntax highlighting, Spark SQL and Trino

Um repositório em Python para armazenar códigos de exercícios da disciplina Análise de Dados e Big Data. Também, está presente o trabalho da disciplina, feito com o Jupyter Notebook.

Análise exploratória dos dados do COVID-19 / de 22 de Janeiro de 2020 a 27 de Julho de 2020 em 188 países análise feita com as ferramentas como: jupyter Notebook, Google Colab, Excel, Power BI e bibliotecas: Pandas, Matplotlib, Numpy.

High performance, editable, stylable datagrids in jupyter and jupyterlab

This repository is a collection of Jupyter Notebooks featuring data analysis, cleaning, CSV exports, SQL files, and a database diagram image related to police datasets. Explore various data analysis and manipulation techniques used to handle police-related datasets.

Exercise:1

Embarking on Mars data exploration! Using Jupyter Notebooks, I'll scrape Mars news and weather details. Firstly, I'll extract titles and preview text from the Mars News site using Beautiful Soup. Then, I'll dive into Mars weather data, analysing temperatures, atmospheric pressure, and more.

You will be able to view a list of machine learning and data science notebooks and libraries from different sectors and industries.

This is a pandas test for a data science job. The solution here is in form of a notebook beside the main Python file.

Compile daily, weekly and monthly reports, for different departments. I have created this project to automate data analysis to really help me cut down on times around 10 times faster than before

This repo houses a Jupyter Notebook which is intended to walk you through Gradient Descent Algorithm from scratch.

This repository contains analysis done with spark dataframe in Google Cloud Platform using Zeppelin Notebook and HDFS

Explore capabilities of Colab notebooks using Stack Overflow data

A comprehensive code notebook that shows how datasets can be handled, manipulated and prepared for machine learning projects using pandas

O objetivo desse projeto foi desenvolver uma breve análise estatística descritiva sobre os 36 funcionários cadastrados na seção de orçamentos da Companhia Milsa.

How to Install Pandas package into Jupyter Notebook or any of the other Python Packagesa and learn more about Series

Used Pandas on Jupyter Notebooks to clean and analyze grades and student performances across a district.

Python within Jupyter Notebook is used to clean, format, and analyze student performances across a school districts’ standardized test scores.

My notebook on using Python with Jupyter Notebook, PySpark etc

Scratch notebook about timeslot availability