03594cam a22005657i 4500 22062189 OSt 20260413184644.0 210601s2022 maua 001 0 eng d 2021940284 GBC103678 bnb 020079569 Uk 9780136624356 paperback 0136624359 paperback 22062189 (OCoLC)1226764072 YDX eng rda YDX BDX UKMGB OCLCO OCLCF TOH AAA YDX OCL OCLCO DLC lccopycat QA76.73.P98 B4525 2022 005.133 B.K.F 2022 23 Behrman, Kennedy, author. Foundational Python for data science / Kennedy R. Behrman. Boston : Addison-Wesley, [2022] xii, 231 pages : illustrations ; 23 cm. text rdacontent unmediated rdamedia volume rdacarrier The Addison-Wesley data & analytics series Includes index. Preface -- I: Learning Python in a notebook environment -- 1. Introduction to notebooks -- 2. Fundamentals of Python -- 3. Sequences -- 4. Other data structures -- 5. Execution control -- 6. Functions -- II: Data science laboratories -- 7. NumPy -- 8. SciPy -- 9. Pandas -- 10. Visualization libraries -- 11. Machine learning libraries -- 12. Natural language toolkit -- III. Intermediate Python -- 13. Functional programming -- 14. Object-oriented programming -- 15. Other topics -- A. Answers to end-of-chapter questions. 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 worlds #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 youve 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 you can execute all coding examples interactively without installing or configuring any software. Python (Computer program language) Computer programming. Machine learning. Data mining. Python (Langage de programmation) Programmation (Informatique) Apprentissage automatique. Exploration de données (Informatique) computer programming. aat SCIENCE / General. bisacsh Computer programming. fast (OCoLC)fst00872390 Data mining. fast (OCoLC)fst00887946 Machine learning. fast (OCoLC)fst01004795 Python (Computer program language) fast (OCoLC)fst01084736 Addison-Wesley data and analytics series. 7 cbc copycat 2 ncip 20 y-gencatlg ddc BK 0 120 120 0 0 ddc 0 0 MAIN MAIN CS 2026-04-13 0 005.133 B.K.F 2022 1424 2026-04-13 18:47:03 2026-04-13 BK