{"product_id":"foundational-python-for-data-science","title":"Foundational Python for Data Science","description":"\u003cp\u003eData 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. \u003c\/p\u003e\u003cp\u003eLeading 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.\u003c\/p\u003e\u003cp\u003eThroughout, \u003ci\u003eFoundational Python for Data Science\u003c\/i\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePreface xiii\u003c\/b\u003e  \u003c\/p\u003e\u003cp\u003e\u003cb\u003eI:  Learning Python in a Notebook Environment 1\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e1  Introduction to Notebooks 3 2  Fundamentals of Python 13 3  Sequences 25 4  Other Data Structures 37 5  Execution Control 55 6  Functions 67  \u003c\/p\u003e\u003cp\u003e\u003cb\u003eII: Data Science Libraries 83\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e7  NumPy 85 8  SciPy 103 9  Pandas 113 10  Visualization Libraries 135 11  Machine Learning Libraries 153 12  Natural Language Toolkit 159  \u003c\/p\u003e\u003cp\u003e\u003cb\u003eIII: Intermediate Python 171\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e13  Functional Programming 173 14  Object-Oriented Programming 187 15  Other Topics 201 A  Answers to End-of-Chapter Questions 215  \u003c\/p\u003e\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eAbout the Author\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eKennedy Behrman\u003c\/b\u003e is a veteran software and data engineer. He first used Python writing asset management systems in the Visual Effects industry. He then moved into the startup world, using Python at startups using machine learning to characterize videos and predict the social media power of athletes. \u003c\/p\u003e","brand":"Pearson Education","offers":[{"title":"Default Title","offer_id":50506292953158,"sku":"9780136624356","price":1573.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/51xX0UPLcKL._SX381_BO1_204_203_200.jpg?v=1790325597","url":"https:\/\/cb-india.com\/products\/foundational-python-for-data-science","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}