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angular

angularproject2

BlogPessoal activity made in Angular for Generation

basic-python

This course covers the basics of the language syntax and usage, as well as advanced features such as objects, generators, and exceptions.

cin-mod1-chal

cinthia10gan

This is my personal page profile, that I'm currently working on with bootstrap.

cinthiatengan

desafio-mod1

dio-java-bootcamp

Repository for Java exercises developed in the Java Developer Bootcamp by DIO.

docker

Deployment of application with Docker

edc-mod1-exercise-xpe

First module from Data Engineer Cloud Bootcamp 2022

fundamentos-web

Front End classes with HTML5 and CSS simple websites

generation-brazil

Proposed class exercises, activities and homework from Generation Brazil.

i-mei

imei-alpha-version-debut-

This repository stores the files and modifications to the original Imei project for deploy on heroku at 4/02/2021 as first requirement to offical graduation on Generation Brasil bootcamp.

imei-beta

Beta version of Imei project, planned deploy by 8/2/2021

imei-beta-version-deploy

Files from the last deploy of I-mei project Beta version uploaded to Heroku on 9/02/2021.

imgaug

Repository to practices with the python library imgaug for image recognition and machine learn

module-2-apache-spark-lessons

module-2-real-time-stream

myassets

Images used in all repos

mysql

Text archives about database for Generation Brazil Java Dev Bootcamp

poo.project

Oriented Object Programing challenge and Exercises.

project-covid19

This is my website about Covid19, as proposed by Generation.

projectwomenrights

Web site made in Angular, about Women Rights

prototipagem

python-functions-intro

Functions are a core building block of programming and working with data and an essential approach to making code more readable and reusable. In this course, discover how to save time and enhance your code using common functions for data science projects. Explore fundamental built-in Python functions for data science, as well as more advanced built-in functions such as the filter function in Python. Learn how to leverage functions from the NumPy and SciPy libraries to manipulate numerical data and perform statistical operations. Learn how to store, modify, and group data efficiently using functions from the pandas library. Get tips on using functions from the Matplotlib and Seaborn libraries for data visualization. Plus, get insights into common pitfalls and mistakes developers make when using functions as part of a data science initiative.

python-projects

Some python projects that I had worked in.

simple-banking-application

Java practice application

spring-linkedinlearning

Some practices on Spring and Spring boot from linkedin learning.

springboot

Spring Activities for Generation Brazil classes.