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Data Structures and Program Design Using Python. A Self-Teaching Introduction to Data Structures and Python Mercury Learning and Information, D. Malhotra, N. Malhotra

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Data Structures and Program Design Using Python. A Self-Teaching Introduction to Data Structures and Python Mercury Learning and Information, D. Malhotra, N. Malhotra - okladka książki

Data Structures and Program Design Using Python. A Self-Teaching Introduction to Data Structures and Python Mercury Learning and Information, D. Malhotra, N. Malhotra - okladka książki

Autorzy:
Mercury Learning and Information, D. Malhotra, N. Malhotra
Serie wydawnicze:
Learning
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
394
Dostępne formaty:
     PDF
     ePub

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This book, part of the Pocket Primer series, introduces the basic concepts of data science using Python 3 and other applications. It offers a fast-paced introduction to data analytics, statistics, data visualization, linear algebra, and regular expressions. The book features numerous code samples using Python, NumPy, R, SQL, NoSQL, and Pandas. Companion files with source code and color figures are available.
Understanding data science is crucial in today's data-driven world. This book provides a comprehensive introduction, covering key areas such as Python 3, data visualization, and statistical concepts. The practical code samples and hands-on approach make it ideal for beginners and those looking to enhance their skills.
The journey begins with working with data, followed by an introduction to probability, statistics, and linear algebra. It then delves into Python, NumPy, Pandas, R, regular expressions, and SQL/NoSQL, concluding with data visualization techniques. This structured approach ensures a solid foundation in data science.

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O autorach książki

MERCURY LEARNING and INFORMATION publishes content in the areas of science and medicine, technology and computing, engineering, and mathematics designed for the professional/reference, trade, library, higher education, career school, and online training markets.
D. Malhotra, PhD is a professor in information technology and has published numerous research articles with international publishers such as ACM, Springer, Elsevier, and IEEE.
N. Malhotra's teaching and research interests include data structures, big data analytics, business intelligence, Java, and distributed programming.

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