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jupysql.ploomber.io/en/latest/jupyterlab/syntax-highlighting.html

In this tutorial, you will learn how to access an Amazon Redshift instance from Jupyter notebooks. You will then learn how to iteratively create tables from an S3 bucket and confirm they are correct via JupySQL's table explorer and table profiling functions. By the end of this tutorial, you will seamlessly transform your SQL query results into pandas dataframe format to setup a supervised learn...

Learn how to configure your SQL project in Jupyter with a new addition: pyproject.toml files to specify default behaviour when performing queries. In this video we focus on automatically transforming the output of a query in polars dataframe format. Learn more jupysql.ploomber.io/en/latest/api/configuration.html#loading-configuration-from-a-pyproject-toml-file

JupySQL is an open source project whose goal is to enable you to run SQL and plot large datasets in Jupyter via a `%sql`, `%%sql`, and `%sqlplot` magics. It is compatible with all major databases (e.g., PostgreSQL, MySQL, SQL Server), data warehouses (e.g., Snowflake, BigQuery, Redshift), and embedded engines (SQLite, and DuckDB). It is a fork of `ipython-sql` with many bug fixes and a lot of g...

In this video, Antonio, a Ploomber community member, will share a checklist of best practices to develop better Data Science projects. Blog post available here: ploomber.io/blog/checklist Questions? Join our growing community of Data Scientists: ploomber.io/community

In this video, Antonio, a Ploomber community member, will discuss some of the myths around Jupyter notebooks and share a few tricks for using them more effectively. Blog post available here: ploomber.io/blog/nbs-myths Questions? Join our growing community of Data Scientists: ploomber.io/community

Convert Jupyter notebooks to PDF, no setup required: convert.ploomber.io Join our Data Science community: ploomber.io/community

In this video, Antonio, a Ploomber community member, will show us how to integrate our custom models with scikit-learn. Blog post available here: ploomber.io/blog/sklearn-custom/ Questions? Join our growing community of Machine Learners: ploomber.io/community

In this video, Antonio, a Ploomber community member, will walk us through the nested cross-validation technique, which allows us to select many candidate Machine Learning models and choose the best one for deployment. Blog post available here: ploomber.io/blog/nested-cv/ Questions? Join our growing community of Machine Learners: ploomber.io/community

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