Google introduces new machine learning addon for Google Sheets - SiliconANGLE
https://siliconangle.com/2022/12/07/google-introduces-new-machine-learning-addon-google-sheets/

ClickHouse Academy https://clickhouse.com/learn/
Become a ClickHouse expert with our free official ClickHouse training

Например, блок ClickHouse Developer Courses содержит следующие курсы:
▫️ 101 - Getting Started (duration: 25 minutes)
▫️ 102 - Creating Databases and Tables (duration: 25 minutes)
▫️ 103 - ClickHouse Architecture (duration: 25 minutes)
▫️ 104 - Data Ingestion (duration: 20 minutes)
▫️ Deduplication (duration: 25 minutes)
▫️ Materialized Views (duration: 25 minutes)
▫️ Projections (duration: 15 minutes)

👉 @python_powerbi

JupyterLab for Data Science and Knowledge Graphs

JupyterLab image with VisualStudio Code server integrated, based on the jupyter/docker-stacks scipy image, with additional packages and kernels installed for data science and knowledge graphs.

With a docker-compose.yml file

Jupyter with Docker Compose

A docker-compose file for launching Jupyter Notebooks in a container.

https://github.com/stefanproell/jupyter-notebook-docker-compose

Artificial Intelligence with Power BI – SQLServerCentral
https://www.sqlservercentral.com/articles/artificial-intelligence-with-power-bi

Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown

MIT License

Mermaid is a JavaScript-based diagramming and charting tool that uses Markdown-inspired text definitions and a renderer to create and modify complex diagrams. The main purpose of Mermaid is to help documentation catch up with development.

https://github.com/mermaid-js/mermaid

Juypter Notebooks for ClickHouse

This directory contains sample notebooks showing how to connect Python to ClickHouse.

Notebook code has been tested on Ubuntu using Anaconda and Python 3.7. They should work from Python 3.5 onwards.

▫️ EX-1.0-Getting-to-Know-the-Clickhouse-driver-Client.ipynb
▫️ EX-1.1-Something-You-Should-Not-Do.ipynb
▫️ EX-2-ClickHouse-SQL-Alchemy.ipynb
▫️ EX-3-Sql-Magic-Functions.ipynb
▫️ EX-4-Pivot-Using-SQL-And-Pandas.ipynb
▫️ EX-5-Airline-OnTime-Data.ipynb

-------------------------------------
👉 @python_powerbi

PyTorch Poisoned in Software Supply Chain Attack - The New Stack
https://thenewstack.io/pytorch-poisoned-in-software-supply-chain-attack/

GitHub - approximatelabs/sketch

AI code-writing assistant that understands data content

https://github.com/approximatelabs/sketch

Preset: Apache Superset vs Tableau

👉 @apache_superset_bi

https://preset.io/blog/apache-superset-vs-tableau/

Python - Pandas Basics. Mercury Learning and Information. 2023

FEATURES:
🔸 Provides the reader with numerous code samples for Pandas and NumPy programming concepts, and an introduction to statistical concepts and data visualization
🔸 Includes an introductory chapter on Python
🔸 Companion files with code

Анализ данных на Python и Pandas
https://youtu.be/dd3RcafdOQk

Docker для Data Science
https://youtube.com/playlist?list=PLQJ7ptkRY-xbR0ka2TUxJkXna40XWu92m

Pandas 2.0 - Everything You Need To Know
https://youtu.be/cSLPyRI_ZD8

[Harvard Edu] CS50's Introduction to Programming with Python (CS50P) 2022

https://youtube.com/playlist?list=PLhQjrBD2T3817j24-GogXmWqO5Q5vYy0V

Lecture 0 - Functions, Variables
Visual Studio Code for CS50
Lecture 1 - Conditionals
Lecture 2 - Loops
Lecture 3 - Exceptions
Lecture 4 - Libraries
Lecture 5 - Unit Tests
Lecture 6 - File I/O
Lecture 7 - Regular Expressions
Lecture 8 - Object-Oriented Programming
Lecture 9 - Et Cetera

Register for free at https://cs50.edx.org/python
Slides and source code at https://cs50.harvard.edu/python

Apache Superset

https://youtube.com/playlist?list=PLAy-0-KaZdI1KiVL64Bd7n5u2Z48_5rQg