Download Python Programming Bundle Brochure

Brochure
More information from http://www.researchandmarkets.com/reports/3308552/
Python Programming Bundle
Description:
Bring the flexibility of Python into your business - this bundles offers the skills your Python developers need
to create great Python apps efficiently with advanced techniques on everything from clean-code, best
practices, easy code reusability, and more.
- Functional Python Programming
Python is an easy-to-learn and extensible programming language that offers a number of functional
programming features. It's ideally suited to a number of applications in the broad space of data science.
- Python 3 Object Oriented Programming
This book makes programming more of a pleasure than a chore using powerful Python 3 object-oriented
features of Python 3. It clearly demonstrates the core OOP principles and how to correctly implement OOP
in Python.
- Learning Python Design Patterns
Design pattern is a well-known approach to solve some specific problems which each software developer
comes across during his work. Design patterns capture higher-level constructs that commonly appear in
programs. If you know how to implement the design pattern in one language, typically you will be able to
port and use it in another object-oriented programming language.
- Mastering Python Design Patterns
Python is an object-oriented, scripting language that is used in wide range of categories. In software
engineering, a design pattern is a recommended solution to a software design problem.
Contents:
Functional Python Programming:
1. Introducing Functional Programming
2. Introducing Some Functional Features
3. Functions, Iterators, and Generators
4. Working with Collections
5. Higher-order Functions
6. Recursions and Reductions
7. Additional Tuple Techniques
8. The Itertools Module
9. More Itertools Techniques
10. The Functools Module
11. Decorator Design Techniques
12. The Multiprocessing and Threading Modules
13. Conditional Expressions and the Operator Module
14. The PyMonad Library
15. A Functional Approach to Web Services
16. Optimizations and Improvements
Python 3 Object Oriented Programming:
1. Object-oriented Design
2. Objects in Python
3. When Objects are Alike
4. Expecting the Unexpected
5. When to Use Object-oriented Programming
6. Python Data Structures
7. Python Object-oriented Shortcuts
8. Python Design Patterns I
9. Python Design Patterns II
10. Files and Strings
11. Testing Object-oriented Programs
12. Common Python 3 Libraries
Learning Python Design Patterns:
1. Model-View-Controller
2. Creating Only One Object with the Singleton Pattern
3. Building Factories to Create Objects
4. The Facade Design Pattern
5. Facilitating Object Communication with Proxy and Observer Patterns
6. Encapsulating Calls with the Command Pattern
7. Redefining Algorithms with the Template Method
Mastering Python Design Patterns:
1. The Factory Pattern
2. The Builder Pattern
3. The Prototype Pattern
4. The Adapter Pattern
5. The Decorator Pattern
6. The Facade Pattern
7. The Flyweight Pattern
8. The Model-View-Controller Pattern
9. The Proxy Pattern
10. The Chain of Responsibility Pattern
11. The Command Pattern
12. The Interpreter Pattern
13. The Observer Pattern
14. The State Pattern
15. The Strategy Pattern
16. The Template Pattern
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