Introduction to Python Programming Practice: Preparation for Data Analysis/Python编程训练入门--数据分析的准备 - Couverture souple

吴喜之 张敏

Couverture souple

ISBN 10 : 7300302378 ISBN 13 : 9787300302379

Editeur : China National Publications Import & Export C, 2022

Synopsis

This book is written for readers who have not formally studied computer software programming but frequently need to perform data analysis. ¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿ A programming language is an essential tool for data science. Programming is not the goal itself; rather, it serves data science. We aim to learn a programming language through the process of handling data. This book adopts a goal-oriented programming training approach, guiding readers to learn programming while completing tasks using software. Naturally, our objective is data analysis, not other practices such as web browsing, animation, or webpage generation. Therefore, the training content here is also designed around the needs of data processing and related graphical plotting. Our training progresses from simple numerical and logical operations, and linear algebra operations, to machine learning model fitting-a gradual process from the elementary to the more advanced. This book is written for readers who have not formally studied computer software programming but frequently need to perform data analysis, enabling them to use Python programming to handle various data-related tasks. The target audience includes students and teachers in fields involving statistics or its extensions (such as econometrics, etc.), as well as the broader readership engaged in data analysis. ¿¿¿¿¿¿¿¿¿¿¿¿¿¿, ¿¿¿¿¿¿, ¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿, ¿¿¿¿¿¿¿¿¿¿¿¿¿¿, ¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿, ¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿, ¿¿, ¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿, ¿¿¿¿¿¿ Python ¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿ (¿¿¿¿¿¿¿) ¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿ Wu Xizhi graduated with a bachelor's degree from the Department of Mathematics and Mechanics at Peking University and earned his Ph.D. in Statistics from the University of North Carolina. He is a Professor and Doctoral Supervisor at the School of Statistics, Renmin University of China. He has taught at several prestigious institutions, including Nankai University, Peking University, the University of California, and the University of North Carolina. Zhang Min holds a Ph.D. in Statistics from Yunnan University of Finance and Economics and currently works at Chongqing Technology and Business University. As an author, she has published multiple papers in journals indexed in CSSCI, CSCD, and SCI. She has led or participated in numerous national, provincial, and ministerial-level research projects and has co-authored several textbooks on data science as the second author. ¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿¿¿¿¿¿¿¿, ¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿CSSCI/CSCD/SCI ¿¿¿¿, ¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿, ¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿

Détails de l'édition

• Éditeur: China National Publications Import & Export C
• Date d'édition: 2022
• Langue: chinois
• ISBN 10: 7300302378
• ISBN 13: 9787300302379
• Reliure: Broché
• Nombre de pages: 266
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Allemagne