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- 1,036 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Book details
Table of contents
Citations
About This Book
Ready to master Python? Learn to write effective code, whether you're a beginner or a professional programmer. Review core Python concepts, including functions, modularization, and object orientation and walk through the available data types. Then dive into more advanced topics, such as using Django and working with GUIs. With plenty of code examples throughout, this hands-on reference guide has everything you need to become proficient in Python! Highlights include:
1) Functions
2) Methods
3) Attributes
4) Data types
5) GUIs
6) Debugging
7) Network communication
8) Modularization
9) Object orientation
10) Iterators
11) Generators
12) Exception handling
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Yes, you can access Python 3 by Johannes Ernesti, Peter Kaiser in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Dear Reader
- Notes on Usage
- Table of Contents
- 1 Introduction
- 2 The Python Programming Language
- Part I Getting Started with Python
- 3 Getting Started with the Interactive Mode
- 4 The Path to the First Program
- 5 Control Structures
- 6 Files
- 7 The Data Model
- 8 Functions, Methods, and Attributes
- 9 Sources of Information on Python
- Part II Data Types
- 10 Basic Data Types: An Overview
- 11 Numeric Data Types
- 12 Sequential Data Types
- 13 Mappings and Sets
- 14 Collections
- 15 Date and Time
- 16 Enumerations and Flags
- Part III Advanced Programming Techniques
- 17 Functions
- 18 Modules and Packages
- 19 Object-Oriented Programming
- 20 Exception Handling
- 21 Generators and Iterators
- 22 Context Manager
- 23 Decorators
- 24 Annotations for Static Type Checking
- 25 Structural Pattern Matching
- Part IV The Standard Library
- 26 Mathematics
- 27 Screen Outputs and Logging
- 28 Regular Expressions
- 29 Interface to Operating System and Runtime Environment
- 30 File System
- 31 Parallel Programming
- 32 Data Storage
- 33 Network Communication
- 34 Accessing Resources on the Internet
- 35 Email
- 36 Debugging and Quality Assurance
- 37 Documentation
- Part V Advanced Topics
- 38 Distributing Python Projects
- 39 Virtual Environments
- 40 Alternative Interpreters and Compilers
- 41 Graphical User Interfaces
- 42 Python as a Server-Side Programming Language on the Web: An Introduction to Django
- 43 Scientific Computing and Data Science
- 44 Inside Knowledge
- 45 From Python 2 to Python 3
- A Appendix
- B The Authors
- Index
- Service Pages
- Legal Notes