Tags¶

All tags you can find into the website:

LLM¶

• GPT and Detection system
• Discovering large language model
• Building an intelligent agent with LangChain, Gradio, and OpenAI

agile¶

• Agile

airflow¶

• Apache Airflow
• State of art and Apache Airflow
• Project with Apache Airflow and Streamlit

apache beam¶

• Introduction to Apache Beam

api¶

• GraphQL and Strawberry
• Intro FastApi

arcan¶

• Technical debt and architectural smell

async¶

• FastApi and async

authentication¶

• Django authentication
• FastApi and async
• Flask review with authentication

blog¶

• Flask review with profiles, roles and blog

blueprints¶

• Flask review with blueprints

bot¶

• How to create a telegram bot with python
• How to create a telegram bot - Squirrel Network

brand identity¶

• New brand identity

celery¶

• Distributed computing with Dask, Modin and Celery

chatgpt¶

• GPT and Detection system

code versioning¶

• Introduction to Git

contatti¶

• Home

dashboard¶

• Tools for data engineering - from notebooks to the dashboard

dask¶

• Distributed computing with Dask, Modin and Celery

data¶

• Apache Airflow
• Data testing
• Data versioning
• Data science in the pharmaceutical field
• Sentiment analysis with python
• Intro pandas
• Operations with dataframe
• Operazioni with Series
• Pandas - in-depth topics and exercises
• Pandas - in-depth topics on data analysis

data engineering¶

• Apache Airflow
• State of art and Apache Airflow
• Project with Apache Airflow and Streamlit

data privacy¶

• Data privacy with Nerpii

data science¶

• Data science in the pharmaceutical field

data testing¶

• Data testing

data versioning¶

• Data versioning

data visualization¶

• Tool for data visualization

databricks¶

• Introduction to Databricks

dataframe¶

• Operations with dataframe

db¶

• FastApi and SQL Model

deep learning¶

• Deep learning with tensorflow
• Deep learning with images
• Deep learning - NLP

deploy¶

• Flask - deploy in production

design¶

• New brand identity

distributed computing¶

• Distributed computing
• Distributed computing and communication between processes.

django¶

• Intro Django
• Django and models
• Django authentication

docker¶

• Tools for the production deployement
• Intro to Docker
• Docker - advanced concepts

dvc¶

• Data versioning

erp¶

• Intro Genropy
• Genropy - ORM
• Genropy - Blood donor
• Genropy - UI customization
• Genropy - open source project

etl¶

• Tools for data engineering - from notebooks to the dashboard

fastapi¶

• Intro FastApi
• FastApi and pydantic
• FastApi and SQL Model
• FastApi and FastCash
• FastApi and async
• Fastapi - Quiz maker - 1
• Fastapi - Quiz maker - 2

fastcash¶

• FastApi and FastCash

finance¶

• High frequency trading - 1
• High frequency trading - 2

flask¶

• Intro Flask
• Flask - REST API
• Flask and Jinja advanced with the forms
• Flask - ORM and SQLAlchemy
• Flask review
• Application evolution
• Flask review with blueprints
• Flask review with authentication
• Flask review with profiles, roles and blog
• Flask - deploy in production

form¶

• Django authentication

forms¶

• Flask and Jinja advanced with the forms

game¶

• Bear and hunters game - first meetup
• Bear and hunters - second meetup
• Intro pygame
• Pygame - sprites and collisions handling
• Pygame - animazioni

genropy¶

• Intro Genropy
• Genropy - ORM
• Genropy - Blood donor
• Genropy - UI customization
• Genropy - open source project

git¶

• Introduction to Git

github¶

• GitHub actions and Pipem

github actions¶

• GitHub actions and Pipem

gpt¶

• GPT and Detection system

graphql¶

• GraphQL and Strawberry

great expectations¶

• Data testing

guida¶

• Home

heroku¶

• Flask - deploy in production

high frequency trading¶

• High frequency trading - 1
• High frequency trading - 2

home¶

• Home

informazioni¶

• Home

jinja¶

• Intro Flask

k8s¶

• Introduction to Kubernetes - part 1
• Introduction to Kubernetes - part 2

learning¶

• Learning
• Testing with python

machine learning¶

• Xgboost
• Intro ML
• ML - supervised learning
• ML - unsupervised learning

mdkocs¶

• Intro
• Deployment
• Documenting code
• Extensions
• Documenting code
• GitHub Pages
• MkDocs vs Sphinx
• Setup

meetup¶

• Meetup
• Next events

micropython¶

• Introduction to the makers world
• IoT and Cloud

mkdocs¶

• Tools for the production deployement
• Main elements of mkdocs
• Extra, plugins and site deployment

mlops¶

• Introduction to Pytorch and Pytorch Lightning
• Introduction to Hydra
• MLOPs - introduction and examples
• MLOPs on AWS

model serving¶

• Nvidia Triton
• Tensorflow serving

modelli¶

• Django and models

modin¶

• Distributed computing with Dask, Modin and Celery

nerpii¶

• Data privacy with Nerpii

neural networks¶

• Deep NLP e Topic Modeling
• Deep learning with tensorflow
• Deep learning with images
• Deep learning - NLP

nlp¶

• Deep NLP e Topic Modeling
• Deep learning - NLP

nvidia triton¶

• Nvidia Triton

open source¶

• Open source - Marcelo Trylesinski
• Open source - Patrick Arminio
• Open source - Juliana Nicacio
• Open source - Giovanni Barillari

orm¶

• Django and models
• Flask - ORM and SQLAlchemy
• Flask review
• Application evolution
• Flask review with blueprints
• Flask review with authentication
• Genropy - ORM

pandas¶

• Tool for data visualization
• Intro ML
• Intro pandas
• Operations with dataframe
• Operazioni with Series
• Pandas - in-depth topics and exercises
• Pandas - in-depth topics on data analysis

papermill¶

• Tools for the production deployement

parallel computing¶

• Distributed computing

parser¶

• ANTLR - first meetup
• ANTLR - second meetup
• ANTLR - third meetup

pharma¶

• Data science in the pharmaceutical field

pipem¶

• GitHub actions and Pipem

plotly¶

• Tool for data visualization

poetry¶

• Modern python development - Tools, libraries, best practices for developing in Python
• Modern python development - Poetry, PDM, Ruff and other useful tools

polars¶

• Introduction to Polars
• Data wrangling with Polars
• Discover functime

pydantic¶

• FastApi and pydantic

pygame¶

• Intro python
• Intro pygame
• Pygame - sprites and collisions handling
• Pygame - animazioni

pygamezero¶

• Pygamezero
• Pygamezero - Game development part 1
• Pygamezero - game develpment part 2

pyspark¶

• Introduction to Databricks

python¶

• How to handle exceptions in python
• Intro python
• Pygamezero
• Pygamezero - Game development part 1
• Pygamezero - game develpment part 2
• Modern python development - Tools, libraries, best practices for developing in Python
• Modern python development - Poetry, PDM, Ruff and other useful tools
• Intro pygame
• Pygame - sprites and collisions handling
• Pygame - animazioni
• Basic concepts and primitive types
• Flow control, iterations, and functions
• Basic OOP
• Advanced OOP

ray¶

• Distributed computing and communication between processes.

regex¶

• Use module re in python

regular expression¶

• Intro regula expressions
• Use module re in python
• How to build a text analysis pipeline
• Text classification project

reinforcement learning¶

• Reinforcement learning - Theoretical concepts and environment setup
• Reinforcement learning - Practical session and coding

rest api¶

• Flask - REST API

roles¶

• Flask review with profiles, roles and blog

rpa¶

• Robot process automation

scikitlearn¶

• Intro ML
• ML - supervised learning
• ML - unsupervised learning

sentiment analysis¶

• Sentiment analysis with python

serie¶

• Operazioni with Series

spacy¶

• How to build a text analysis pipeline
• Text classification project

speaker¶

• Speaker guide

speakers¶

• Participate as a speaker

sphinx¶

• MkDocs vs Sphinx

sqlalchemy¶

• Flask - ORM and SQLAlchemy

sqlmodel¶

• FastApi and SQL Model
• FastApi and FastCash

strawberry¶

• GraphQL and Strawberry

streamlit¶

• Sentiment analysis with python
• Tools for data engineering - from notebooks to the dashboard
• Project with Apache Airflow and Streamlit

supervised learning¶

• ML - supervised learning

supporters¶

• Supporters

tdd¶

• FastApi and pydantic

technical debt¶

• Technical debt and architectural smell

tensorflow¶

• Deep learning with tensorflow

test¶

• Testing with python - 1
• Testing with python - 2
• Testing with python - 3

testing¶

• Testing with python
• Resources
• Bibliography
• Code snippets
• Software
• Reccommended talks
• Preface
• BDD tests with Behave
• Doctest
• Introduction
• Good practices for writing tests
• Using pytest
• What a Test Looks Like
• List of main unit test frameworks
• Types
• Unittest
• Why pytest

text manipulation¶

• Intro regula expressions
• Use module re in python
• How to build a text analysis pipeline
• Text classification project

time series¶

• Discover functime

topic modeling¶

• Deep NLP e Topic Modeling

ui¶

• Genropy - UI customization

unsupervised learning¶

• ML - unsupervised learning

web framework¶

• Intro Django

web scraping¶

• Web scraping - Beatiful Soup and Requests
• Web scraping - Selenium and Scrapy

web server¶

• Intro Flask
• Flask and Jinja advanced with the forms

webserver¶

• Flask review
• Application evolution

xgboost¶

• Xgboost