Foundational Python for Data Science
Data science and machine learning—two of the worlds hottest fields—are attracting talent from a wide variety of technical, business, and liberal arts disciplines.
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Foundational Python for Data Science
Data science and machine learning—two of the worlds 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.
Features:
- Master Google colab notebook Data Science programming
- Manipulate data with popular Python libraries such as: pandas and numpy
- Apply Python Data Science recipes to real world projects
- Learn functional programming essentials unique to Data Science
| Book | |
|---|---|
| Author | Kennedy Behrman |
| Pages | 252 |
| Year | 2024 |
| ISBN | 9788119847327 |
| Publisher | Pearson |
| Language | English |
| Uncategorized | |
| Edition | 1/e |
| Weight | 295 g |
| Dimensions | 23.5 x 17.2 x 1 cm |
| Binding | Paperback |