Search
92 results for “ploomber”
-
Discover a game-changer in hiring! 🚀 Introducing the latest Streamlit app on Ploomber Cloud for resume analysis. 📄💼 Say goodbye to tedious evaluations – visit https://resume-analyzer.ploomberapp.io/?utm_content=buffer1f2c1&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer . 🌐 Supercharge your hiring process and make smarter decisions in a snap. Try it now and revolutionize your resume assessments! 🔍✨ #HiringMadeEasy #ResumeRevolution #streamlit #ML
-
🚀 New feature: with JupySQL you can now set up a local Spark instance seamlessly to interact with your data.
In this guide, walk you through:
🌟 Setting up a Spark Connect thin client
🌟 Setting up a database with Docker
🌟 Parameterizing your queries
🌟 Perform data profiling, data cleanup and visualizationLink to tutorial: https://jupysql.ploomber.io/en/latest/integrations/spark.html?utm_content=bufferd7b6a&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer
-
🐳 Dockerize FastAPI & Ploomber🚀
Learn to containerize FastAPI apps:
⚡ DuckDB: Fast, in-memory SQL database.
⚡ Structure: ETL, app, & tests.
⚡ Dockerfile:
✅ RUN vs CMD.
✅ Python base.
✅ Poetry for dependencies.
✅ Ploomber for data prep.
✅ Expose port 8000.
✅ Launch with Uvicorn.Dive in: https://ploomber-sql.readthedocs.io/en/latest/mini-projects/recommendation-system/packaging-with-docker.html
Give JupySQL a star: https://github.com/ploomber/jupysql -
🐳 Dockerize FastAPI & Ploomber🚀
Learn to containerize FastAPI apps:
⚡ DuckDB: Fast, in-memory SQL database.
⚡ Structure: ETL, app, & tests.
⚡ Dockerfile:
✅ RUN vs CMD.
✅ Python base.
✅ Poetry for dependencies.
✅ Ploomber for data prep.
✅ Expose port 8000.
✅ Launch with Uvicorn.Dive in: https://ploomber-sql.readthedocs.io/en/latest/mini-projects/recommendation-system/packaging-with-docker.html
Give JupySQL a star: https://github.com/ploomber/jupysql -
🎬 Dive into our blog on #data #wrangling & #exploratory #analysis with JupySQL. Prep for an end-to-end Ploomber pipeline & gear up for recommendation systems! 🔍
📖 Read here: https://ploomber-sql.readthedocs.io/en/latest/mini-projects/recommendation-system/eda-with-jupyter.html
Enjoyed it? Star JupySQL: https://github.com/ploomber/jupysql
-
🎬 Dive into our blog on #data #wrangling & #exploratory #analysis with JupySQL. Prep for an end-to-end Ploomber pipeline & gear up for recommendation systems! 🔍
📖 Read here: https://ploomber-sql.readthedocs.io/en/latest/mini-projects/recommendation-system/eda-with-jupyter.html
Enjoyed it? Star JupySQL: https://github.com/ploomber/jupysql
-
🎬 Dive into our blog on #data #wrangling & #exploratory #analysis with JupySQL. Prep for an end-to-end Ploomber pipeline & gear up for recommendation systems! 🔍
📖 Read here: https://ploomber-sql.readthedocs.io/en/latest/mini-projects/recommendation-system/eda-with-jupyter.html
Enjoyed it? Star JupySQL: https://github.com/ploomber/jupysql
-
🎬 Dive into our blog on #data #wrangling & #exploratory #analysis with JupySQL. Prep for an end-to-end Ploomber pipeline & gear up for recommendation systems! 🔍
📖 Read here: https://ploomber-sql.readthedocs.io/en/latest/mini-projects/recommendation-system/eda-with-jupyter.html
Enjoyed it? Star JupySQL: https://github.com/ploomber/jupysql
-
🚀 Explore our movie recommendation system! Learn to:
Write a #Python script for Movie Database API 📽️
Populate #DuckDB 🦆
Package with Ploomber for future upgrades 🐍
📖 Dive in:
https://ploomber-sql.readthedocs.io/en/latest/mini-projects/recommendation-system/setting-up-etl.html🔜 Next: Data #analysis & #wrangling in #Jupyter with #SQL & JupySQL 📊
-
🎉#JupySQL v0.9.0 is out!🚀
Load config from pyproject.toml, resolve CTEs with new 'with_' feature & enjoy more control over scripts with parameterized queries.
Plus, many more features & bug fixes!Learn more: https://jupysql.ploomber.io/en/latest/api/configuration.html🌟
Out GitHub: https://github.com/ploomber/jupysql -
🚀 🚀 🚀Just published a comprehensive new blog post on dockerizing your #Python-based ETL pipelines!
Delve into the varied benefits and detailed instructions of Docker packaging with us.
⚡ Learn how to create a virtual environment, and package a Python pipeline.
⚡ Learn about procedure of building and running Docker images while emphasizing the importance of distinct virtual environments for each project. -
🚀 🚀 🚀Just published a comprehensive new blog post on dockerizing your #Python-based ETL pipelines!
Delve into the varied benefits and detailed instructions of Docker packaging with us.
⚡ Learn how to create a virtual environment, and package a Python pipeline.
⚡ Learn about procedure of building and running Docker images while emphasizing the importance of distinct virtual environments for each project. -
🤔 Ever wondered how we can manage and load data into a DuckDB instance? Check out the next blog in our SQL course!
Built around Python and SQL, this guide delves deep into numerous Python libraries such as 'requests', 'pandas' and DuckDB's Python API to guide you through the process.
🔗 Read about it here:
https://ploomber-sql.readthedocs.io/en/latest/packaging-your-sql-project/intro-to-etl-pipelines-with-python-and-sql.html#DataEngineering #DataAnalytics #Python #SQL #ETLPipeline #DuckDB #Pandas #DataTransformation #GitHub #DataScience
-
📣 New ETL pipeline course module out! Grasp the difference between .pyscript & Jupyter notebooks and master Python script drafting best practices.
Dive into function definitions, modularization, code documentation, and Python script packaging. We also introduce Pandas and DuckDB Python API for efficient data handling. Discover more at
#Python #DataScience #SQLAlchemy #Pandas #Automation #Modularization.
-
Unveiling a detailed walkthrough on visualizing #SQL queries with Plotly, a versatile #visualization library, using the #Ploomber package in our latest blog post.
Gain insights into the process from ground zero- starting with package installation, #data loading, creating, and loading tables onto a Python-SQL Jupyter Notebook, to the grand finale - visualizing data via various plots.
🔗 Google Colab: https://colab.research.google.com/github/ploomber/sql/blob/main/colabs/visualizing-your-sql-queries/plotting-with-plotly.ipynb
🔗 JupyterBook: https://ploomber-sql.readthedocs.io/en/latest/visualizing-your-sql-queries/plotting-with-plotly.html
-
Unveiling a detailed walkthrough on visualizing #SQL queries with Plotly, a versatile #visualization library, using the #Ploomber package in our latest blog post.
Gain insights into the process from ground zero- starting with package installation, #data loading, creating, and loading tables onto a Python-SQL Jupyter Notebook, to the grand finale - visualizing data via various plots.
🔗 Google Colab: https://colab.research.google.com/github/ploomber/sql/blob/main/colabs/visualizing-your-sql-queries/plotting-with-plotly.ipynb
🔗 JupyterBook: https://ploomber-sql.readthedocs.io/en/latest/visualizing-your-sql-queries/plotting-with-plotly.html
-
Unveiling a detailed walkthrough on visualizing #SQL queries with Plotly, a versatile #visualization library, using the #Ploomber package in our latest blog post.
Gain insights into the process from ground zero- starting with package installation, #data loading, creating, and loading tables onto a Python-SQL Jupyter Notebook, to the grand finale - visualizing data via various plots.
🔗 Google Colab: https://colab.research.google.com/github/ploomber/sql/blob/main/colabs/visualizing-your-sql-queries/plotting-with-plotly.ipynb
🔗 JupyterBook: https://ploomber-sql.readthedocs.io/en/latest/visualizing-your-sql-queries/plotting-with-plotly.html
-
Unveiling a detailed walkthrough on visualizing #SQL queries with Plotly, a versatile #visualization library, using the #Ploomber package in our latest blog post.
Gain insights into the process from ground zero- starting with package installation, #data loading, creating, and loading tables onto a Python-SQL Jupyter Notebook, to the grand finale - visualizing data via various plots.
🔗 Google Colab: https://colab.research.google.com/github/ploomber/sql/blob/main/colabs/visualizing-your-sql-queries/plotting-with-plotly.ipynb
🔗 JupyterBook: https://ploomber-sql.readthedocs.io/en/latest/visualizing-your-sql-queries/plotting-with-plotly.html
-
Unveiling a detailed walkthrough on visualizing #SQL queries with Plotly, a versatile #visualization library, using the #Ploomber package in our latest blog post.
Gain insights into the process from ground zero- starting with package installation, #data loading, creating, and loading tables onto a Python-SQL Jupyter Notebook, to the grand finale - visualizing data via various plots.
🔗 Google Colab: https://colab.research.google.com/github/ploomber/sql/blob/main/colabs/visualizing-your-sql-queries/plotting-with-plotly.ipynb
🔗 JupyterBook: https://ploomber-sql.readthedocs.io/en/latest/visualizing-your-sql-queries/plotting-with-plotly.html
-
Using #MarkdownSQLPro Tools 🛠️ with new #SQLBookmarks 🔖, #SQLite & our #DuckDBPro #SQLTools in #VSCode IDE on @ploomber's #JupySQL #JupyText / #MyST #JupyterBook 📓 markdown docs 😎
#SQL #DuckDB #Markdown #ProDataTools 🧙♂️ ...
-
Quick demo of the new Extract All SQL and Execute SQL code lenses in the upcoming #MarkdownSQL Pro Tools v1.2.0 with #JupyterBook markdown support and #JupySQL / #SQLMagics SQL code extraction and execution in action:
This example uses VS Code #SQLTools and #DuckDBPro Tools to execute SQL queries directly from the Jupy SQL Jupyter Book markdown document (https://github.com/ploomber/jupysql/blob/master/doc/quick-start.md).
#VSCode #ProDataTools 🧙♂️ ...
-
Quick demo of the new Extract All SQL and Execute SQL code lenses in the upcoming #MarkdownSQL Pro Tools v1.2.0 with #JupyterBook markdown support and #JupySQL / #SQLMagics SQL code extraction and execution in action:
This example uses VS Code #SQLTools and #DuckDBPro Tools to execute SQL queries directly from the Jupy SQL Jupyter Book markdown document (https://github.com/ploomber/jupysql/blob/master/doc/quick-start.md).
#VSCode #ProDataTools 🧙♂️ ...
-
Quick demo of the new Extract All SQL and Execute SQL code lenses in the upcoming #MarkdownSQL Pro Tools v1.2.0 with #JupyterBook markdown support and #JupySQL / #SQLMagics SQL code extraction and execution in action:
This example uses VS Code #SQLTools and #DuckDBPro Tools to execute SQL queries directly from the Jupy SQL Jupyter Book markdown document (https://github.com/ploomber/jupysql/blob/master/doc/quick-start.md).
#VSCode #ProDataTools 🧙♂️ ...
-
Quick demo of the new Extract All SQL and Execute SQL code lenses in the upcoming #MarkdownSQL Pro Tools v1.2.0 with #JupyterBook markdown support and #JupySQL / #SQLMagics SQL code extraction and execution in action:
This example uses VS Code #SQLTools and #DuckDBPro Tools to execute SQL queries directly from the Jupy SQL Jupyter Book markdown document (https://github.com/ploomber/jupysql/blob/master/doc/quick-start.md).
#VSCode #ProDataTools 🧙♂️ ...
-
Quick demo of the new Extract All SQL and Execute SQL code lenses in the upcoming #MarkdownSQL Pro Tools v1.2.0 with #JupyterBook markdown support and #JupySQL / #SQLMagics SQL code extraction and execution in action:
This example uses VS Code #SQLTools and #DuckDBPro Tools to execute SQL queries directly from the Jupy SQL Jupyter Book markdown document (https://github.com/ploomber/jupysql/blob/master/doc/quick-start.md).
#VSCode #ProDataTools 🧙♂️ ...
-
Noticias sobre Python y Datos de la semana, episodio 73 🐍⚙️
En resumen: Versiones nuevas de JupySQL, Modin, Prefect y más, machine learning "doble", detección de comunidades en grafos, ojo a la chi2 de scikit-learn, y noticias del viejo Spyder
https://astrojuanlu.substack.com/p/episodio-73
Apoya el noticiero suscribiéndote por correo 📬
#python #pydata #jupysql #ploomber #modin #prefect #doubleml #networkx #sklearn #spyder
-
Noticias sobre Python y Datos de la semana, episodio 73 🐍⚙️
En resumen: Versiones nuevas de JupySQL, Modin, Prefect y más, machine learning "doble", detección de comunidades en grafos, ojo a la chi2 de scikit-learn, y noticias del viejo Spyder
https://astrojuanlu.substack.com/p/episodio-73
Apoya el noticiero suscribiéndote por correo 📬
#python #pydata #jupysql #ploomber #modin #prefect #doubleml #networkx #sklearn #spyder
-
Noticias sobre Python y Datos de la semana, episodio 73 🐍⚙️
En resumen: Versiones nuevas de JupySQL, Modin, Prefect y más, machine learning "doble", detección de comunidades en grafos, ojo a la chi2 de scikit-learn, y noticias del viejo Spyder
https://astrojuanlu.substack.com/p/episodio-73
Apoya el noticiero suscribiéndote por correo 📬
#python #pydata #jupysql #ploomber #modin #prefect #doubleml #networkx #sklearn #spyder