Android for programmers :
by Deitel, Paul J.,
[ ] Series: Deitel developer series Edition statement:2nd edition. Published by : Pearson, (Chennai:) Physical details: 600 p.: color illustrations ; 23 cm. ISBN:9789353947989.
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Android (Electronic resource)
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Application software
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Development.
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Mobile computing.
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Application software
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Development.
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Mobile computing.
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Android 4.3.
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Android 4.4.
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Mobile Computing.
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App.
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Python (Computer program language)
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Machine learning
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Neural networks (Computer science)
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Artificial intelligence
| Home library | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
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AEF's Arihant college of Arts, Commerce and Science, Camp, Pune-01
Contact: Ankushe Sheetal Suresh, ( BSc Chemistry), MLISc, SET, NET
Librarian,
Arihant College of Arts Commerce And Science,
Pune Camp, Pune-01
Ph. No. 02067270906
E-mail: ac.library@arihantacs.edu.in
|
Available | 8649 | |||
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AEF's Arihant college of Arts, Commerce and Science, Camp, Pune-01
Contact: Ankushe Sheetal Suresh, ( BSc Chemistry), MLISc, SET, NET
Librarian,
Arihant College of Arts Commerce And Science,
Pune Camp, Pune-01
Ph. No. 02067270906
E-mail: ac.library@arihantacs.edu.in
|
Checked out to Raasikh Patel (BCA-2022-20) | 13.02.2025 | 8648 |
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. Table of Content "Chapter 1: Introduction to Computers and Python Chapter 2: Introduction to Python Programming Chapter 3: Control Statements Chapter 4: Functions Chapter 5: Sequences: Lists and Tuples Chapter 6: Dictionaries and Sets Chapter 7: Array-Oriented Programming with NumPy Chapter 8: Strings: A Deeper Look Chapter 9: Files and Exceptions Chapter 10: Object-Oriented Programming Chapter 11: Natural Language Processing (NLP) Chapter 12: Data Mining Twitter Chapter 13: IBM Watson and Cognitive Computing Chapter 14: Machine Learning: Classification, Regression and Clustering Chapter 15: Deep Learning Chapter 16: Big Data: Hadoop, Spark, NoSQL and IoT " Salient Features "· 500+ hands-on, real-world, live-code examples from snippets to case studies · IPython + code in Jupyter® Notebooks · Library-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal code · Rich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptions · Procedural, functional-style and object-oriented programming"
Includes index.
Introduction to Android -- Welcome app -- Tip calculator app -- Twitter® searches app -- Flag quiz app -- Cannon game app -- Doodlz app -- Address book app -- Google play and app business issues.
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