Download Fluent Python free in PDF. Python is very easy learn powerful programming language. Python is easy to learn and put to use, many practicing programmers leverage only a fraction on its powerful features.
Experience programmers try to bend python to fit patterns they learned from other languages and never discover python features outsides of their experience. By this notes, python programmers will thoroughly learn how to become proficient in python 3.
You Learn These Topics From This Notes:
1.The Python Data Model
- A Pythonic Card Deck
- How Special Methods are Used?
- Emulating Numeric Type
- String Representation
2. An Array of Sequence
- Overview of built in Sequence
- List Comprehension and Generator Expression
- List Comprehension and Readability
- Cartesian Products
- Slicing
- Arrays
- Nested Tuple Unpacking
3. Dictionaries and Sets
- Generic Mapping Types
- Dict Comprehension
- Overview of Common Mapping Methods
- Handling Missing Keys with Set default
- Variation of Dict
- Set Theory
4. Text Versus Bytes
- Character Issues
- Byte Essentials
- Structs and Memory Views
- Handling Text Files
- Sorting Unicode Text
5. First Class Functions
- Treating a Function Like an Object
- Higher order Functions
- Anonymous Functions
- The Seven Flavor of Callable Objects
6. Design Patterns with First Class Functions
- Case Study: Refactor Strategy
- Classic Strategy
- Function Oriented Strategy
- Command
7. Function Decorators and Closures
- Decorators 101
- When Python Execute Decorators
- Variables Scope Rules
- Closures
- The Nonlocal Declaration
8. Object Reference Mutability and Recycling
- Variables are not Boxes
- Identity, Equalities and Aliases
- Copies are Shallows By Default
- Function Parameters as Reference
- Del and Garbage Collection
9. A Pythonic Object
- Object Representation
- Vector Class Redux
- An Alternative Constructors
- Formatted Displays
10. Sequence Hacking, Hashing and Slicing
- Vector: A User Defined Vector Types
- Protocol and Duck Typing
- How Slicing Works
- A Slice Aware Gittem
11. Interface From Protocol to ABCs
- Interfaces and Protocols in Python Culture
- Python Digs Sequence
- ABCs in the Standard Libraries
- Defining and Using an ABC
12. Inheritance: For Good or for Worse
- Sub classing Built in Types is Tricky
- Multiple Inheritance and Method Resolution Order
- Coping with Multiple Inheritance
- Make Interface Explicit with ABCs
13. Operator Overloading: Doing it Right
- Operator Overloading
- Unary Operators
- Overloading + for Vector Addition
- Overloading * for Vector Multiplication
- Rich Comparison Operators
14. Iterables, Iterators and Generators
- Sentence Take 1: A Sequence of Words
- Sentence Take 2: A Classic Iterator
- Sentence Take 3: A Generator Function
- Sentence Take 4: A Lazy Implementation
- Sentence Take 5: A Generator Expression
15. Context Manager and Else Book
- Do this, then that: Else Blocked Beyond If
- Context Manager and With Blocks
- The Contextlib Utilities
- Using @context manager
16. Coroutnies
- How Coroutnies Evolve from Generators
- Basic Behavior of a Generator Used at a Coroutnies
- Decorators for a Coroutnies Priming
- Using Yield Form
17. Concurrency with Futures
- Examples: Web Downloads in Three Styles
- Blocking I/o and Gills
- Launching Processes with Concurrent future
- Download with Progress Display and Error Handling
18. Concurrency with Asyncio
- Thread Versus Coroutnies: A Comparison
- Downloading with Asyncio and Aiohttp
- Running Circles Around Blocking Calls
- Enhancing the Asyncio Download Script
19. Dynamic Attributes and Properties
- Data Wrangling with Dynamic Attributes
- Using a Property for Attributes Validation
- A Proper Look at Properties
- Coding a Property Factory
20. Attributes Description
- Description Example: Attributes Validation
- Overriding Versus Non Overriding Descriptor
- Overriding Descriptor
- Overriding Descriptor without get
21. Class Metaprogramming
- A Class Factory
- A Class Decorator for Customizing Descriptor
- Metaclasses
- Classes as Objects
