Later, you’ll cover best practices relating to testing and deployment to run a high-quality and robust application. You’ll also be introduced to the extensive ecosystem of Python data science packages ...

The vast majority of libraries used for data science or machine ... and even treat parts of an application as abstractions that can be altered if needed. Python’s use of significant whitespace ...

Key Takeaways Scala is an excellent option for big data, particularly when complemented with Apache Spark, due to its ...

We also highlight key use cases in sectors like healthcare, finance and business and discuss popular data science tools like Microsoft BI, Apache and Python. Data science features a unique process ...

Devising Python code for solving various analytics problems. Devising an overall code-organization plan, for the purpose of integrating their code in larger applications. Reading programming ...

Building Data Science Applications with FastAPI is the go-to resource for creating efficient and dependable data science API backends. This second edition incorporates the latest Python and FastAPI ...