A versatile, groundbreaking strategy to information science and pc science
The Deitels’ Introduction to Python for Computer Science and Data Science (PDF) gives a singular strategy to instructing introductory Python programming, appropriate for each pc-science and information-science audiences. Offering probably the most present protection of matters and functions, the ebook is paired with broad conventional dietary supplements in addition to Jupyter Notebooks dietary supplements. Real-world datasets and synthetic intelligence applied sciences allow school college students to work on initiatives making a distinction in enterprise, authorities, , trade and academia. Hundreds of workout routines, examples, initiatives (EEPs), and implementation case research give college students a difficult, partaking, and entertaining introduction to Python programming and sensible information science.
The ebook’s modular structure permits instructors to appropriately adapt the textbook to a variety of pc-science and information-science programs proposed to audiences drawn from many majors. Computer-science instructors can incorporate as a lot or as little information-science and synthetic-intelligence matters as they’d like, and information-science instructors can incorporate as a lot or as little Python as they’d like. The ebook aligns with the most recent ACM/IEEE CS-and-related computing curriculum initiatives and with the Data Science Undergraduate Curriculum Proposal funded by the National Science Foundation.
“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
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NOTE: The product solely contains the ebook, Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud in PDF. No access codes are included.