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The Pascal Programming Language Pascal is an imperative and procedural programming language, which is widely used for teaching, and is also used for professional and commercial programming. Pascal was developed in the late 1960s, and was inspired by the programming language ALGOL, which was used for scientific computing. The language was named after the French mathematician and philosopher Blaise Pascal. Pascal is designed to be easy to understand, and is widely used in computer science education. It is also used by professional programmers, as it is a powerful language, and is well suited for commercial programming. The language is widely used in the development of software, databases, and other applications. Pascal is a statically typed language, which means that the type of data must be declared before it can be used. This ensures that data is not misused, and makes the code more reliable. The language is also strongly typed, which means that the type of data must be compatible with the operations performed on it. This makes the code easier to read and debug. The language also supports object-oriented programming, which makes it suitable for developing complex applications. Pascal is widely used in the development of software for various platforms, including Windows, Mac, and Linux. It is also
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How to write reproducible TensorFlow input pipelines | by Pascal Janetzky | Jan, 2023 | Towards Data Science
When preparing machine learning experiments, the input pipeline plays a critical role in data preparation. While they are often straightforward to construct — the machine learning frameworks make…
The smart, flexible way to run code on Kubernetes | by Pascal Janetzky | Jan, 2023 | Towards Data Science
When I was a beginner using Kubernetes, my main concern was getting code to run on the cluster. Thrown into a new world, I saw all these confusing YAML-Files, each line and indentation bringing a new…
A pipeline for fast experimentation on Kubernetes | by Pascal Janetzky | Jan, 2023 | Towards Data Science
Manually creating a novel configuration file for every new experiment is a tedious process. Especially if you want to rapidly deploy a vast number of jobs on a Kubernetes cluster, an automated setup…
No More OOM-Exceptions During Hyperparameter Searches in TensorFlow | by Pascal Janetzky | Apr, 2023 | Towards Data Science
It’s the year 2023. Machine learning is no longer hype but at the core of everyday products. Ever faster hardware makes it possible to train ever larger machine learning models — in shorter times…