Python

A logo illustrating the construction on turbodbc with a crane and a hardhat

Making of turbodbc (part 2): C++ to Python

In the first part of this series, we learned how turbodbc builds a few layers of C++ code on top of the open database connectivity (ODBC) C API. We ended up with a reduced API that improves on its foundation … Read More

PyCon.DE Part 5: No Compromise: Using Ansible properly

Efficient DataFrame Storage with Apache Parquet

In our daily work as data scientists, we deal with a lot with tabular data, also called DataFrames. At Blue Yonder, we use Pandas DataFrames to analyze and transform the data we need. One of our main challenges when we integrate new systems … Read More

A logo illustrating the construction on turbodbc with a crane and a hardhat

Making of turbodbc (part 1): Wrestling with the side effects of a C API

Databases are the core of modern information technology. Databases are used by web servers to store content, by businesses to place orders, and by data scientists as their data sources. To give Python users easy database access, the Python community … Read More

Apache Big Data

Blue Yonder at Apache Big Data Europe

At Blue Yonder, we make use of several Apache projects and actively contribute to three projects at the moment (Apache Aurora, Apache Arrow, and Apache Parquet) as project management committee (PMC) members and committers. The Apache Big Data Europe conference … Read More

It’s fresh. It’s scientific. It’s free.

Blue Yonder’s python library tsfresh automatically extracts features from time series or sequences and it has just been released as an open source project. Time series: They’re everywhere The computerization and automation of manufacturing operations as part of Industry 4.0 … Read More