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

Description

Discover an innovative and adaptable approach to programming with the Deitels’ Introduction to Python for Computer Science and Data Science (PDF). This comprehensive resource redefines how Python programming is taught, making it ideal for both computer science and data science students. With an extensive and up-to-date exploration of contemporary topics and real-world applications, this ebook is enhanced by traditional resources and practical Jupyter Notebooks supplements. Dive into the realms of artificial intelligence and data analytics through real datasets, empowering college students to engage in projects that significantly impact various sectors, including business, government, industry, and academia.

This essential guide features a wealth of exercises, illustrative examples, challenging projects (EEPs), and detailed implementation case studies guaranteed to provide students an engaging, interactive, and enriching experience in learning Python programming and practical data science concepts. Its well-structured modular design allows educators to tailor the content appropriately across a diverse array of computer science and data science curricula, accommodating students from various disciplines.

Instructors teaching computer science can select the extent of data science and artificial intelligence topics to include, while those focused on data science can determine how much Python content to incorporate. This ebook aligns seamlessly with the latest initiatives by ACM/IEEE regarding computer science curricula and complies with the Data Science Undergraduate Curriculum Proposal backed by the National Science Foundation.

Reviews

“The best-planned Intro to Data Science/Python book I have seen.” — Roland DePratti, Central Connecticut State University “You’ll develop applications using cloud computing and industry-standard libraries services.” — Daniel Chen, Data Scientist, Lander Analytics “Strikes a good balance between teaching computer science basics and putting data science techniques into practice. Designed to aid students not only learn programming fundamentals but also influence a large number of existing libraries to start accomplishing jobs with minimal code. Concepts are complemented by rich Python examples that students can adapt to apply their own solutions to data science problems. I like that cloud services are used.” — David Koop, Assistant Professor, U-Mass Dartmouth

P.S. Reach out to us if you wish to acquire the Introduction to Python for Computer Science and Data Science Test Bank or other instructor resources.

NOTE: The product solely includes the ebook, Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data, and The Cloud in PDF format. No access codes are provided.