Python
A versatile programming language widely used for AI, data analysis, automation, and backend development.
What is Python?
Python is one of the most widely used programming languages in the world, valued for its readability and versatility. The language is used broadly: from data analysis and machine learning to web development and process automation. Thanks to an enormous ecosystem of libraries, such as PyTorch, scikit-learn, and pandas, Python has become the standard for AI applications and data science.
How does Python work?
Python is an interpreted language, meaning code is executed line by line without requiring a compilation step first. This makes the development cycle fast: changes are immediately testable. Python's strength lies in the enormous amount of available libraries. For AI applications, PyTorch and TensorFlow provide ready-made building blocks for neural networks, while pandas and NumPy are powerful tools for data processing and analysis.
Example
Wabber's RAG pipeline is largely built in Python. When a client uploads documents to the AI system, a Python script processes these documents: it splits the text into chunks, generates vector embeddings via a language model, and stores them in a vector database. When a user then asks a question to the AI chatbot, Python rapidly searches for the most relevant document fragments and adds them as context to the prompt.
Why is Python important?
The power of Python for business environments lies in its development speed and the broad availability of specialised tooling. Whether it involves training AI models, analysing logistics data, or automating reports, Python offers a proven solution for virtually every challenge. For Wabber, Python is the backbone of all AI and data-related services.
Related solutions
Frequently asked questions
What does Wabber use Python for?
Wabber uses Python for building AI pipelines, the RAG pipeline that processes documents into searchable knowledge sources, data integrations, scrapers, and automation scripts. Python is the core of our AI/LLM services and runs on our own AI cluster with 128GB VRAM in the Netherlands.
Is Python suitable for business applications?
Yes, Python is excellently suited for business applications, particularly in data analysis, AI, and automation. The language offers frameworks like Django and FastAPI for web applications, and libraries like pandas for data analysis. The fast development cycle makes Python ideal for quickly building and iterating solutions.
What is the difference between Python and PHP?
PHP was primarily designed for web development and is the standard for server-side web applications. Python is more versatile and is widely used for AI, data analysis, automation, and web development. Wabber uses both languages: PHP (Laravel/Symfony) for backend systems like WMS and TMS, and Python for AI pipelines and data integrations.
Can Python be used for machine learning?
Python is the standard programming language for machine learning. Libraries like PyTorch, TensorFlow, and scikit-learn provide ready-made tools for training and deploying models. Wabber's AI cluster runs Python-based models for tasks such as text analysis, document processing, and automated knowledge extraction.
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