Exploring Mountain Huts with SPARQL and Wikidata

Utilize SPARQL and Wikidata to efficiently query and retrieve data on mountain huts based on specified latitude and longitude coordinates.
#python

Peter Hoffmann Peter Hoffmann

BlueYonder at PyCon.DE 2023

It's been now 10 years ago when Blue Yonder started the first sponsoring of a python conference at Europython Florence. Since then we have been either sponsoring and/or organizing at least one python event per year.
#python #conference

Peter Hoffmann Peter Hoffmann

beautiful leaflet markers with folium and fontawesome

TIL how to use fontawesome markers with folium.
#python #pydata #visualization #til

Peter Hoffmann Peter Hoffmann

scaling-aware rating of count forecasts

Forecasts crave a rating that reflects the forecast's quality in the context of what is possible in theory and what is reasonable to expect in practice.
#pydata #python #meetup

Peter Hoffmann Peter Hoffmann

Python Support in Snowflake

Snowflake offers different ways to access and call python from within their compute infrastructure. This post will show how to access python in user defined functions, via stored procedures and in snowpark.
#python #sql #snowflake #pydata

Peter Hoffmann Peter Hoffmann

Convert the Himalayan Database to SQLite

Conversion of the Himalayan database of the legendary Elizabeth Hawley from FoxPro to SQLite.
#python #sql #mountain

Peter Hoffmann Peter Hoffmann

Azure Synapse SQL-on-Demand Openrowset Common Table Expression with SQLAlchemy

Using SQLAlchemy to create openrowset common table expressions for Azure Synapse SQL-on-Demand
#python #sql #pydata #azure

Peter Hoffmann Peter Hoffmann

Using turbodbc to access Azure Synapse SQL-on-Demand endpoints

Azure Synapse SQL-on-Demand offers a web client, the desktop version Azure Data studio and odbc access with turbodbc to query parquet files in the Azure Data Lake.
#python #sql #pydata #azure

Peter Hoffmann Peter Hoffmann

DuckDB vs Azure Synapse SQL-on-Demand with parquet

Inspired by Uwe Korns post on DuckDB this post shows how to use Azure Synapse SQL-on-Demand to query parquet files with T-SQL on a serverless cloud infrastructure.
#python #parquet #pydata #pandas #azure

Peter Hoffmann Peter Hoffmann

Azure Data Explorer and Parquet files in the Azure Blob Storage

Last summer Microsoft has rebranded the Azure Kusto Query engine as Azure Data Explorer. While it does not support fully elastic scaling, it at least allows to scale up and out a cluster via an API or the Azure portal to adapt to different workloads. It also offers parquet support out of the box which made me spend some time to look into it.
#python #pydata #azure #parquet

Peter Hoffmann Peter Hoffmann

Understand predicate pushdown on row group level in Parquet with pyarrow and python

Apache Parquet is a columnar file format to work with gigabytes of data. Reading and writing parquet files is efficiently exposed to python with pyarrow. Additional statistics allow clients to use predicate pushdown to only read subsets of data to reduce I/O. Organizing data by column allows for better compression, as data is more homogeneous. Better compression also reduces the bandwidth required to read the input.
#python #pydata #parquet #arrow #pandas

Peter Hoffmann Peter Hoffmann

Azure Data Lake Storage Gen 2 with Python

Microsoft has released a beta version of the python client azure-storage-file-datalake for the Azure Data Lake Storage Gen 2 service with support for hierarchical namespaces.
#python #pydata

Peter Hoffmann Peter Hoffmann

Karlsruhe Python Meetup at Blue Yonder

Python Meetup with two talks about python usage in a data science environment and the different stages of a python package in this environment.
#python #meetup #conference

Peter Hoffmann Peter Hoffmann

Rust Meetup at Blue Yonder

Rust Meetup in the new Blue Yonder office in Hamburg
#rust #meetup #conference

Peter Hoffmann Peter Hoffmann

JDA ICON - Enabler of AI - Overview of an AI Architecture

JDA ICON 2019 was all about technology, APIs, AI (Artificial Intelligence) and ML (Machine Learning).
#python #talk

Peter Hoffmann Peter Hoffmann

Exasol User Group Karlsruhe

Exasol on Microsoft Azure – automatic deployment in less than 30 minutes
#exasol #azure #pydata #talk

Peter Hoffmann Peter Hoffmann

PyCon.DE 2018

PyCon.DE 2018 is over. Second time in a row we organized it in ZKM Karlsruhe. Next year PyCon.DE will move to Berlin.
#python #conference

Peter Hoffmann Peter Hoffmann

EuroSciPy 2018 - Apache Parquet as a columnar storage for large datasets

Apache Parquet is an binary, efficient columnar data format that can be used for high performance data I/O in Pandas and Dask.
#python #talk

Peter Hoffmann Peter Hoffmann

Europython 2018 - Using Pandas and Dask to work with large columnar datasets in Apache Parquet

Apache Parquet is an binary, efficient columnar data format that can be used for high performance data I/O in Pandas and Dask.
#python #talk

Peter Hoffmann Peter Hoffmann

Swiss Python Summit 2018 - 12 Factor Apps for Data-Science with Python

Heroku distilled their principles to build modern cloud applications. These principles have influenced many of our design decisions at Blue Yonder to build a data science platform.
#python #talk

Peter Hoffmann Peter Hoffmann