Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Kurv

Foundational Python for Data Science

Af: Kennedy Behrman Engelsk Paperback

Foundational Python for Data Science

Af: Kennedy Behrman Engelsk Paperback
Tjek vores konkurrenters priser
Data science and machine learning—two of the world''s hottest fields—are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world''s #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help students with widely diverse backgrounds learn foundational Python so they can use it for data science and machine learning. This book is catered to introductory-level college courses on data science. 


Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once students have learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving. Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and more—all created with Colab (Jupyter compatible) notebooks, so students can execute all coding examples interactively without installing or configuring any software.

Tjek vores konkurrenters priser
Normalpris
kr 478
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser
Data science and machine learning—two of the world''s hottest fields—are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world''s #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help students with widely diverse backgrounds learn foundational Python so they can use it for data science and machine learning. This book is catered to introductory-level college courses on data science. 


Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once students have learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving. Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and more—all created with Colab (Jupyter compatible) notebooks, so students can execute all coding examples interactively without installing or configuring any software.

Produktdetaljer
Sprog: Engelsk
Sider: 256
ISBN-13: 9780136624356
Indbinding: Paperback
Udgave:
ISBN-10: 0136624359
Udg. Dato: 24 jan 2022
Længde: 17mm
Bredde: 231mm
Højde: 178mm
Forlag: Pearson Education (US)
Oplagsdato: 24 jan 2022
Forfatter(e): Kennedy Behrman
Forfatter(e) Kennedy Behrman


Kategori Programmerings- & scriptsprog


ISBN-13 9780136624356


Sprog Engelsk


Indbinding Paperback


Sider 256


Udgave


Længde 17mm


Bredde 231mm


Højde 178mm


Udg. Dato 24 jan 2022


Oplagsdato 24 jan 2022


Forlag Pearson Education (US)

Kategori sammenhænge