Read, write and provide data with Python¶

We will access remote file systems and geodata, read various serialisation formats such as CSV and JSON and provide data in suitable databases and interfaces (API).

Training objective¶

You will be able to read data from various data sources and data formats and convert it into Python lists, NumPy arrays or pandas DataFrames. You can save the data in a suitable database or data format and make it available via a data interface (API).

Target group¶

Data scientists and system engineers who want to read, store and provide data automatically.

Course content¶

Day 1
- Read data
  - Serialisation formats (CSV, JSON, XML, etc.)
  - panda’s I/O API
  - Read REST API and remote file systems
  - Read geodata
Day 2
- Store data
  - Relational databases and object-relational mapping
  - Geodata – GeoTIFF, Shapefiles, PostGIS, etc.
  - NoSQL databases
Day 3
- Provide data
  - HTTP API
  - gRPC
  - Data Mesh

What we offer¶

In our in-house and online seminars, we customise the content exactly to your needs. We coordinate the content with you in advance. We will be happy to provide you with a customised offer.

Your advantages:

📈 Coordinated content:
- ← Introduction to Python
- ← Advanced Python
- → Numerical calculations with NumPy
- → Visualising data with Python
- → Cleanse and validate data with Python
💁 Personal preliminary discussion
🤝 Customised content
📖 Training documents
📃 Certificate
🧑‍💻 Trainers from the field
🫴 Mentoring and 1:1 coaching

Price:

from €2.880 (plus VAT)

Get in touch¶

Do you have a question that is not answered here? Veit will be happy to answer your questions and create a customised offer for your training.

Veit Schiele

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