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02643nam a2200289 a 4500 |
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00012838 |
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AR-OvUNE |
| 005 |
20230629111119.0 |
| 006 |
a||||| 00| 0 |
| 007 |
ta |
| 008 |
220412s2020 us |||f 00| 0 engdd |
| 020 |
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|a 9780135404676
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| 040 |
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|a AR-OvUNE
|c AR-OvUNE
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| 080 |
0 |
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|a 004.438*Python
|b D398
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| 100 |
1 |
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|9 1744
|a Deitel, Paul J.
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| 245 |
1 |
0 |
|a Intro to Python® :
|b for computer science and data science. Learning to program with AI, big data and the cloud /
|c Paul Deitel, Harvey Deitel
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| 260 |
2 |
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|a New York :
|b Pearson Education,
|c c2020.
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| 300 |
|
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|a xv, 536 p. :
|b fig. byn.;
|c 24 cm.
|
| 505 |
0 |
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|a PART 1: CS: Python Fundamentals Quickstart -- CS 1. Introduction to Computers and Python -- DS Intro: AI–at the Intersection of CS and DS CS 2. Introduction to Python Programming -- DS Intro: Basic Descriptive Stats -- CS 3. Control Statements and Program Development -- DS Intro: Measures of Central Tendency—Mean, Median, Mode -- CS 4. Functions -- DS Intro: Basic Statistics— Measures of Dispersion -- CS 5. Lists and Tuples -- DS Intro: Simulation and Static Visualization -- PART 2: CS: Python Data Structures, Strings and Files -- CS 6. Dictionaries and Sets -- DS Intro: Simulation and Dynamic Visualization CS 7. Array-Oriented Programming with NumPy, High-Performance NumPy Arrays -- DS Intro: Pandas Series and DataFrames -- CS 8. Strings: A Deeper Look Includes Regular Expressions -- DS Intro: Pandas, Regular Expressions and Data Wrangling -- CS 9. Files and Exceptions -- DS Intro: Loading Datasets from CSV Files into Pandas DataFrames -- PART 3: CS: Python High-End Topics -- CS 10. Object-Oriented Programming -- DS Intro: Time Series and Simple Linear Regression -- CS 11. Computer Science Thinking: Recursion, Searching, Sorting and Big O -- CS and DS Other Topics Blog -- PART 4: AI, Big Data and Cloud Case Studies DS 12. Natural Language Processing (NLP), Web Scraping in the Exercises -- DS 13. Data Mining Twitter®: Sentiment Analysis, JSON and Web Services DS 14. IBM Watson® and Cognitive Computing -- DS 15. Machine Learning: Classification, Regression and Clustering -- DS 16. Deep Learning Convolutional and Recurrent Neural Networks; Reinforcement Learning in the Exercises -- DS 17. Big Data: Hadoop®, Spark™, NoSQL and IoT
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| 650 |
1 |
7 |
|a Programación orientada a objetos (Informática)
|2 Tesamat en línea
|9 14852
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| 650 |
1 |
7 |
|a Lenguajes de programación
|9 12874
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| 653 |
|
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|a LENGUAJE PYTHON
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| 653 |
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|a PROGRAMACION EN PYTHON
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| 653 |
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|a PYTHON®
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| 700 |
1 |
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|a Deitel, Harvey M.
|9 1742
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| 942 |
|
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|c LIB
|2 udc
|h 004.438*Python
|6 004438PYTHON
|
| 999 |
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|c 12838
|d 12838
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