Python is an interpreted, object-orientated, high-stage programming language with dynamic semantics. Its high-stage built in facts systems, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as to be used as a scripting or glue language to connect current additives together. Python's simple, clean to analyze syntax emphasizes clarity and consequently reduces the cost of program upkeep. Python supports modules and packages, which inspires program modularity and code reuse. The Python interpreter and the sizeable preferred library are to be had in supply or binary form without charge for all most important systems and can be freely allotted.
Often, programmers fall in love with Python due to the extended productivity it affords. Since there's no compilation step, the edit-test-debug cycle is highly fast. Debugging Python applications is straightforward: a trojan horse or horrific input will never cause a segmentation fault. Instead, when the interpreter discovers mistakes, it raises an exception. When this system would not capture the exception, the interpreter prints a stack hint. A supply level debugger lets in the inspection of the neighborhood and international variables, evaluation of arbitrary expressions, placing breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python's introspective power. On the alternative hand, regularly the quickest manner to debug an application is to feature some print statements to the supply: the quick edit-check-debug cycle makes this simple method very effective.
Python ContentGetting Started with Python: Introducing Python Installing Python on Windows Introducing Python IDLE Programming in Interactive Mode Programming in Scripting Mode Types, Variables and Input/Output Using quotes and escape character String Concatenation and Repeater Operators Using Mathematical Operators with Numbers Understanding Variables Getting User Input with input() Using Strings Methods Converting Values Flow Control in Python The if Statement The else Clause Using elif Clause The while Statement Avoiding infinite loops Values as conditions Using Logical Operators Planning Your Program with Pseudocode For Loops and Tuples Using for Loops Using Sequence Operators and Functions with Strings Finding Length with len() Using the in Operator Indexing and Slicing Strings Using Random Module Using Tuples Sequence Operators and Functions with Tuples Dictionaries Using Dictionaries Accessing Dictionary values Adding, Replacing and Deleting key-value pairs Functions: get(), keys(), values() and items() Lists in Python Creating and Using Lists len() with Lists in Operator with Lists Indexing, Slicing and Concatenating Deleting List Element with del Using Lists Methods such as append(), sort(), reverse(), count(), pop(), remove(), insert() and index() Using Nested Sequences Understanding Shared Refrences Functions in Python Defining Functions Using Parameters and Return Values Using Arguments and Defaults Parameters Using Global Variables and Constants Variable Scope References Object-Oriented Python Introduction to Object-Oriented Python Creating Classes, Methods and Objects Using Constructor and Attributes Using Class Attributes and Static Methods Understanding Object Encapsulation Private Attributes and Methods Controlling Attribute Access Creating and Accessing Properties Combining Objects Using Inheritance to Create New Classes Altering Behavior of Inherited Methods Understanding Polymorphism File Input and Output and Exceptions The open Function Input from Text Files Output to Text Files Storing Complex Data in Files with Pickles and Shelve Handling Exceptions Using try Statement with except Clause Modules Using Modules in Programs Writing Modules Importing Modules Using Imported Functions and Modules
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