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  - ANTLR
    
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    Parser and ANTLR4
    
    From parser to interpreter
    
    Parser, intepreter and compiler
  - Airflow + PySpark
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    Parallel and distributed computing
    
    Intro
    
    Communication between processes
    
    Dask, Modin and Celery libraries
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    Back-end with FastAPI and SQLModel
    
    Async, OAuth2, profiling and dockerization
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    Intro to Flask
    
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    Authentication
    
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    Heroku and docker - deploy
    
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  - Generative AI
    
    Generative AI
    
    Discovering large language model
    
    Building an intelligent agent with LangChain, Gradio, and OpenAI
  - Genropy
    
    Genropy
    
    Introduction, demo, and first steps Introduction, demo, and first steps
    On this page
    
    Intro
    
    Material
    
    Meetup video
    
    Bag, Structure, ORM, and project start
    
    UI resources, lookup tables, and formula columns
    
    Other UI resources, data import, hierarchical tables,printing, users, multi-tenancy
    
    Users, Staff, and Donors in a multi-tenant perspective
  - Exception handling
  - Bear and hunters game
    
    Bear and hunters game
    
    Part 1
    
    Part 2
  - Git basics
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  - Introduction to Machine Learning
    
    Introduction to Machine Learning
    
    Introduction to Machine Learning and Scikit-Learn
    
    Scikit-Learn pipeline, metrics, and linear regression
    
    Scikit-Learn - unsupervised learning
  - Introduction to Deep Learning
    
    Introduction to Deep Learning
    
    Introduction to Deep Learning and TensorFlow
    
    Neural Networks for images
    
    Recurrent Neural Networks
  - Introduction to Kubernetes
    
    Introduction to Kubernetes
    
    Part 1
    
    Part 2
  - Introduction to Databricks
  - Learning Python through games
    
    Learning Python through games
    
    Python basics
    
    PyGameZero
    
    Creating games
    
    Review and creation of complex games
  - Text manipulation
    
    Text manipulation
    
    Introduction to regular expressions
    
    Regex library in Python
    
    Text analysis pipeline and Spacy
    
    A text analysis and classification project with ML
  - Micropython
    
    Micropython
    
    Introduction to the makers world
    
    IoT e cloud
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    Main elements of mkdocs
    
    Extra, plugins and site deployment
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    State of the art and Apache Airflow
    
    Project
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    Poetry, PDM, Ruff, and other useful tools
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    MLOps
    
    Introduction to MLOps
    
    MLOps on AWS
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    ML Pipeline
    
    Introduction to Pytorch
    
    Introduction to Hydra
  - NLP - topic modeling
  - NVIDIA Triton
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    Open Source
    
    First interview - Marcelo Trylesinski
    
    Second interview - Patrick Arminio
    
    Third interview - Juliana Nicacio
    
    Fourth interview - Giovanni Barillari
  - Pandas basics
    
    Pandas basics
    
    Introduction and csv module
    
    Operations with dataframes
    
    Series and exercises
    
    Live coding and in-depth discussions
    
    In-depth, indexing, filters, multiIndexing
  - Data analysis learning path
    
    Data analysis learning path
    
    Pandas - data manipulation
    
    Tools for data visualization
    
    Tools for data engineering
    
    Tools for production deployment
  - Polars
    
    Polars
    
    Introduction to Polars
    
    Data wrangling with Polars
    
    Discover functime
  - Pygame
    
    Pygame
    
    Introduction to pygame
    
    Sprites, collisions, and simulations
    
    Animations, camera, and gravity
  - Python basics
    
    Python basics
    
    Basic concepts and primitive types
    
    Flow control, iterations, and functions
    
    Basic OOP
    
    Advanced OOP
  - Reinforcement learning - DIAMBRA
    
    Reinforcement learning - DIAMBRA
    
    Theoretical concepts and environment setup
    
    Practical session and coding
  - Robotic Process Automation
  - Squirrel Telegram Bot
  - Telegram Bot
  - Tensorflow serving
  - Testing and documenting data
  - Testing with python
    
    Testing with python
    
    Testing - Intro
    
    Testing - Pytest and unittest
    
    Testing - Doctest and behave
  - Twitter sentiment analysis
  - Web scraping
    
    Web scraping
    
    Beautiful Soup and Requests
    
    Selenium and Scrapy
  - XGBoost
Learning
Learning
- Better code
  Better code
  - Bandit
  - Black
  - Flake8
  - Mypy
  - Pydantic
  - Ruff
- Create a package
  Create a package
- Data analysis
  Data analysis
  - DuckDB
  - Numpy
  - Pandas
  - Polars
- Document your code
  Document your code
- Linux basics
  Linux basics
- Manage dependencies
  Manage dependencies
  - Anaconda
  - PDM
  - Pipx
  - Poetry
  - Poetry avanzato
  - Pyenv
  - Virtualenv
- Extra material
- MkDocs tutorial
  MkDocs tutorial
  - Setup
  - Document your code
  - Extra functionalities
  - Deploy
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    Deployment
    
    Github pages
  - Extensions
  - MkDocs vs Sphinx
- Pre-commit
- Project structure
  Project structure
  - Bear
- Python basics
  Python basics
  - Perchè Python
- Advanced Python
  Advanced Python
- Manage different python versions
  Manage different python versions
  - ASDF
  - REPL
- Roadmap
  Roadmap
- Manage configurations
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- Tech independence
  Tech independence
- Testing
  Testing
  - Tutorial
    
    Tutorial
    
    Introduction
    
    What a Test Looks Like
    
    Types
    
    Good practices for writing tests
    
    Unittest
    
    Using pytest
    
    Doctest
    
    BDD tests with Behave
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    Resources
    
    Bibliography
    
    Software
    
    Code snippets
    
    Reccommended talks
- VS Code
Blog
Blog
Supporters
Supporters
Speakers
Speakers
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On this page

Intro
Material
Meetup video

Introduction, demo, and first steps

Intro¶

First introductory meeting on Genropy:

Introduction to Genropy and its architecture
ERPY / Condominio.zero demo
Live practice: Anagrammi app
Live practice: Create an app by importing a legacy database and its configuration
Live practice: HelloWorld and other examples

Material¶

Meetup video¶

February 25, 2024

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Bag, Structure, ORM, and project start

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