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 YouTube offers a variety of high-quality Python tutorials for all skill levels.Some channels specialize in ...

fast tracks data science beginners towards skills with real-life applications. Python skills for data analysis and visualisation are taught assuming no prior knowledge of the language and are then ...

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

Programming is a key component of data analytics. Learn some of the most widely used languages in the area, such as R or Python. Strong libraries and frameworks for data manipulation, analysis, and ...

The primary focus of the course is to cover principles of computer programming with a focus on data science applications. The topic covered ... The course will primarily use Python 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 ...