Andere Kunden interessierten sich auch für
![Hands-On Data Structures and Algorithms with Python – Third Edition (eBook, ePUB)]( "Hands-On Data Structures and Algorithms with Python – Third Edition (eBook, ePUB)")
Hands-On Data Structures and Algorithms with Python – Third Edition (eBook, ePUB)25,95 €![Python Data Structures Pocket Primer (eBook, ePUB)]( "Python Data Structures Pocket Primer (eBook, ePUB)")
Python Data Structures Pocket Primer (eBook, ePUB)26,95 €![Data Structures and Algorithms with the C++ STL (eBook, ePUB)]( "Data Structures and Algorithms with the C++ STL (eBook, ePUB)")
Data Structures and Algorithms with the C++ STL (eBook, ePUB)24,95 €![Hands-On Data Structures and Algorithms with Rust (eBook, ePUB)]( "Hands-On Data Structures and Algorithms with Rust (eBook, ePUB)")
Hands-On Data Structures and Algorithms with Rust (eBook, ePUB)27,95 €![C++ Data Structures and Algorithm Design Principles (eBook, ePUB)]( "C++ Data Structures and Algorithm Design Principles (eBook, ePUB)")
C++ Data Structures and Algorithm Design Principles (eBook, ePUB)27,95 €![C++ Data Structures and Algorithms (eBook, ePUB)]( "C++ Data Structures and Algorithms (eBook, ePUB)")
C++ Data Structures and Algorithms (eBook, ePUB)26,95 €![Hands-On Data Structures and Algorithms with Python (eBook, ePUB)]( "Hands-On Data Structures and Algorithms with Python (eBook, ePUB)")
Hands-On Data Structures and Algorithms with Python (eBook, ePUB)27,95 €
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.
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.