Foundational Python for Data Science EPUB
by Kennedy Behrman
Part of the Addison-Wesley Data & Analytics Series series
EPUB
Description
Learn all the foundational Python you'll need to solve real data science problems 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 millions of people with widely diverse backgrounds learn Python so they can use it for data science and machine learning. 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 you've learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving. Master Google colab notebook Data Science programmingManipulate data with popular Python libraries such as: pandas and numpyApply Python Data Science recipes to real world projectsLearn functional programming essentials unique to Data ScienceAccess case studies, chapter exercises, learning assessments, comprehensive Jupyter based Notebooks, and a complete final project Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and more--all created with colab (Jupyter compatible) notebooks, so you can execute all coding examples interactively without installing or configuring any software.
Information
-
Download - Immediately Available
- Format:EPUB
- Pages:256 pages
- Publisher:Pearson Education (US)
- Publication Date:29/11/2021
- Category:
- ISBN:9780136624318
Other Formats
- Paperback / softback from £44.99
- PDF from £28.79
Information
-
Download - Immediately Available
- Format:EPUB
- Pages:256 pages
- Publisher:Pearson Education (US)
- Publication Date:29/11/2021
- Category:
- ISBN:9780136624318
