In the second chapter, you jump straight to NumPy. Then there’s a crash course in Python in the second half of the first chapter. In thislearning by doing book, you start with Python installation in the very first chapter. The Focus of the Book Is on Learning by Doing Quick access to external files to practice and learn advanced concepts of NumPy.ĪResources folder containing all the datasets used in the book. Links to reference materials related to the topics you study. You have short exercises at the end of each one of the 11 chapters to test your knowledge of the theoretical concepts you have learned.Ī deep understanding of fundamental and intermediate topics. The author has gone to great lengths to ensure what you learn sticks. The step-by-step layout of this book simplifies your learning.

Each theoretical concept you cover is followed by practical examples, making it easier to master the concept.

This book is refreshingly different, as there’s a lot for you to do than mere reading. Python NumPy for Beginners presents you with a hands-on, simple approach to learning Python fast. The main features of these libraries are powerful data analysis tools and easy-to-use structures. In data science, NumPy and Pandas are by far the most widely used Python libraries. But are you serious enough about becoming proficient in Python? If yes, then you need to become a master in the two essential Python libraries - NumPy and Pandas. Python is doubtless the most versatile programming language. Python Libraries Textbook for Beginners with Codes Folder. Название: Python NumPy for Beginners: NumPy Specialization for Data Science

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