Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud

Amazon.com Price: $69.32 (as of 07/09/2021 11:58 PST- Details)

Description

 For introductory-degree Python programming and/or Knowledge-Technology lessons.

 

A groundbreaking, versatile option to Pc Technology and information science

The Deitels’ Introduction to Python for Pc Technology and Knowledge Technology: Studying to Application with AI, Massive Knowledge and the Cloud gives a novel option to educating introductory Python programming, suitable for each Pc-Technology and information-Technology audiences. Offering probably the most present protection of subjects and programs, the ebook is paired with in depth conventional dietary supplements in addition to Jupyter Notebooks dietary supplements. Actual-global datasets and synthetic-intelligence applied sciences permit scholars to paintings on initiatives creating a distinction in industry, business, govt and academia. Masses of examples, workouts, initiatives (EEPs), and implementation case research provide scholars an interesting, difficult and interesting advent to Python programming and fingers-on Knowledge Technology.

 

The ebook’s modular structure allows teachers to without problems adapt the textual content to a variety of Pc-Technology and information-Technology lessons introduced to audiences drawn from many majors. Pc-Technology teachers can combine as a lot or as little Knowledge-Technology and synthetic-intelligence subjects as they would like, and information-Technology teachers can combine as a lot or as little Python as they would like. The ebook aligns with the up to date ACM/IEEE CS-and-comparable computing curriculum tasks and with the Knowledge Technology Undergraduate Curriculum Concept subsidized via the Nationwide Technology Basis.

 

Additional information

Author

Binding

EAN

EANList

Edition

ISBN

ItemDimensions

Label

Languages

Manufacturer

MPN

NumberOfPages

PackageDimensions

PackageQuantity

PartNumber

ProductGroup

ProductTypeName

PublicationDate

Publisher

ReleaseDate

Studio