Python for programmers : with introductory AI cases studies.
Deitel, Paul
Python for programmers : with introductory AI cases studies. - 601 páginas. - Deitel Developer Series .
Table of contents included.
1. Introduction to Computers and Python. -- 2. Introduction to Python Programming. -- 3. Control Statements. -- 4. Functions. -- 4.1 Introduction. -- 4.2 Defining Functions. -- 4.3 Functions with Multiple Parameters. -- 5. Sequences: Lists and Tuples. -- 6. Dictionaries and Sets. -- 7. Array-Oriented Programming with NumPy. -- 8. Strings: A Deeper Look. -- 9. Files and Exceptions. -- 10. Object-Oriented Programming. -- 11. Natural Language Processing (NLP). -- 12. Data Mining Twitter. -- 13. IBM Watson and Cognitive Computing. -- 14. Machine Learning: Classification, Regression and Clustering. -- 15. Deep Learning. -- 16. Big Data: Hadoop, Spark, NoSQL and IoT
The professional programmer’s Deitel® guide to Python® with introductory artificial intelligence case studies—Written for programmers with a background in another high-level language, this book uses hands-on instruction to teach today’s most compelling, leading-edge computing technologies and programming in Python—one of the world’s most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details. In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you’ll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms.
9780135224335
Natural language processing
Data mining
Machine learning
Data science
005.133 / D325p
Python for programmers : with introductory AI cases studies. - 601 páginas. - Deitel Developer Series .
Table of contents included.
1. Introduction to Computers and Python. -- 2. Introduction to Python Programming. -- 3. Control Statements. -- 4. Functions. -- 4.1 Introduction. -- 4.2 Defining Functions. -- 4.3 Functions with Multiple Parameters. -- 5. Sequences: Lists and Tuples. -- 6. Dictionaries and Sets. -- 7. Array-Oriented Programming with NumPy. -- 8. Strings: A Deeper Look. -- 9. Files and Exceptions. -- 10. Object-Oriented Programming. -- 11. Natural Language Processing (NLP). -- 12. Data Mining Twitter. -- 13. IBM Watson and Cognitive Computing. -- 14. Machine Learning: Classification, Regression and Clustering. -- 15. Deep Learning. -- 16. Big Data: Hadoop, Spark, NoSQL and IoT
The professional programmer’s Deitel® guide to Python® with introductory artificial intelligence case studies—Written for programmers with a background in another high-level language, this book uses hands-on instruction to teach today’s most compelling, leading-edge computing technologies and programming in Python—one of the world’s most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details. In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you’ll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms.
9780135224335
Natural language processing
Data mining
Machine learning
Data science
005.133 / D325p