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    Parallel and distributed computing
    
    Intro
    
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    First API with TDD approach
    
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    Back-end with FastAPI and SQLModel
    
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    FastAPI - Quiz maker
    
    Part 1
    
    Part 2
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    Heroku and docker - deploy
    
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    Generative AI
    
    Discovering large language model
    
    Building an intelligent agent with LangChain, Gradio, and OpenAI
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    Genropy
    
    Introduction, demo, and first steps
    
    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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  - High frequency trading
    
    High frequency trading
    
    Part 1
    
    Part 2
  - Introduction to Apache Beam
  - 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
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    Introduction to Deep Learning
    
    Introduction to Deep Learning and TensorFlow
    
    Neural Networks for images
    
    Recurrent Neural Networks
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    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
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    Introduction to regular expressions
    
    Regex library in Python
    
    Text analysis pipeline and Spacy
    
    A text analysis and classification project with ML
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    Micropython
    
    Introduction to the makers world
    
    IoT e cloud
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    Main elements of mkdocs
    
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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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    Introduction to MLOps
    
    MLOps on AWS
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    Introduction to Pytorch
    
    Introduction to Hydra
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  - 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 data engineering
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    Intro
    
    Material
    
    Meetup video
    
    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
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- Data analysis
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  - DuckDB
  - Numpy
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- Document your code
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- Linux basics
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- Python basics
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  - Perchè Python
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- Manage different python versions
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  - ASDF
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- Testing
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    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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On this page

Intro
Material
Meetup video

etl streamlit dashboard

Tools for data engineering

Intro¶

Tools for data engineering - from notebooks to the dashboard:

Theoretical concepts
ETL
Streamlit

Material¶

Meetup video¶

October 12, 2024

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Tools for data visualization

Tools for production deployment

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