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Python’s simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn’t catch the exception, the interpreter prints a stack trace.
Part I >> Getting Started
- History
- A Python Q&A Session
- How Python Runs Programs
- How You Run Programs
Part II >> Types and Operations
- Introducing Python Object Types
- Numeric Types
- The Dynamic Typing Interlude
- Strings
- Lists and Dictionaries
- Tuples, Files and Everything Else
Part III >> Statements and Syntax
- Introducing Python Statements
- Assignments, Expressions, and Prints
- if Tests and Syntax Rules
- while and for Loops
- Iterations and Comprehensions – I
- The Documentation Interlude
Part IV >> Functions
- Function Basics
- Scopes
- Arguments
- Advance Function Topics
- Iterations and Comprehensions – II
Part V >> Modules
- Modules : The Big Picture
- Module Coding Basics
- Module Package
- Advance Module Topics
Part VI >> Classes and OOP
- OOP : The Big Picture
- Class Coding Basics
- A More Realistic Example
- Class Coding Details
- Operator Overloading
- Designing with Classes
- Advanced Class Topics
Part VII >> Exceptions and Tools
- Exception Basics
- Exception Coding Detail
- Exception Objects
- Designing With Exceptions