Python

Python is an interpreted high-level programming language for general-purpose programming. Created by Guido van Rossum and first released in 1991, Python has a design philosophy that emphasizes code readability, notably using significant whitespace.

Python is one of the most prominent programming languages which can be used to develop software in different domains. What made it most appealing is that, it the best elementary language to learn for a beginner and at the same time, it can be used as a full blown programming language for professionals.

It can be integrated with many other programming languages like C, C++, Java etc. Python also supports most modern technologies such as data science, machine learning and artificial intelligence. Hence its demand will increase in the future also.

• Application areas
• Web development
• Software testing
• Scientific programming
• Graphical User Interface of desk-tops
• Network programming.
• Game development

Why We Prefer Python?

Main attraction Python language over other programming languages is its ease of learning. A beginner who doesn’t have a background of programming can learn Python more easily.

Its other benefits include:

• Can easily read, debug and edit the code
• Reliable
• Capable of interacting with other languages
• Open source and hence free to use and distribute
• Considerable speed and productivity
• User-friendly Data Structures

Who Can Do This Course?

This course is not intended for any special category and does not require any specific academic background. Since Python is one of the simplest languages to learn, anyone have an interest in programming can learn this language.

Our training process is designed to start from the zero level and hence even a beginner can easily follow the content. Our faculties are fully devoted to enhance the programming skills of each student by providing practical oriented training.

Python Programming Syllabus:

• 1. Introduction to Python Language
• What is Python, Uses of Python Programming Language / Python Applications, Python for Software development, Python for Networking, Python for Automated Testing, Features of Python Programming Language, Implementations of Python, and Python career opportunities.
• 2. Download & Install Python
• Download your operating system compatible Python Interpreter, install Python, set environment variable, customize Python shell, write & execute Python programs using Interactive mode and script mode. Python PyCharm or IDE, set Python for PyCharm IDE, configure PyCharm IDE, write & execute Python programs.
• 3. Python Language Syntax
• Modes of Programming in Python, Interactive mode programming, Script mode programming, Creating Python program file, Python Identifiers, Python keywords, Lines and Indentation, Spilt Python statements, Join Python Statements, Writing code blocks, Comments in Python, and Quotation in Python.
• 4. Python Keywords and Identifiers
• Python keywords or Reserved words, Python keywords define the syntax and structure of the Python language, Python keywords are case sensitive, Python literals (True, False, Null), Python Identifiers, class names, variable names, function names, method names, and Identifier naming rules.
• 5. Python Comments
• Purpose/use of comments in Computer Programming, Comments for Understanding Python code, Python Comment Syntax, Python Single line comment, Multiline comment in Python, and writing Python comments.
• 6. Python Variables
• What is Variable?, Declaration of Variables, Assign Values to Variables, Initialization, Reading, Variable naming restrictions, and Types of Python Variables.
• 7. Python Data Types
• What is Data Type?, Implicit Declaration of Data Types, Python Numbers (Integers, floating-point numbers, and complex numbers), Python Strings, Python boolean data type.
• 8. Python Operators
• Python Arithmetic, Comparison/Relational Operators, Increment Operators, Logical operators, Python Identity Operators, and Python Operators Precedence.
• 9. Python Control Flow – Decision Making
• (Decision Making / Conditional Statements in Python, Simple If Structure, if-else structure, if elif structure, and nested If Structure. Execute a block of Statements when the condition is true, Execute a block of Statements when a compound condition is true, Execute a block of Statements when the condition is true otherwise execute another block of Statements, Decide among several alternates(elif), and Execute a block of Statements when more than one condition is true (Nested if))
• 10. Python Control Flow – Looping
• ((Python Control Flow Statements, Python Loop Statements. Python while loop, Python for loop, Python range(), Python Nested Loop Structures, and Inserting conditions in Loops and vice versa.))
• 11. Python Control Flow – Branching
• (Python Flow Control – Branching Statements, A branching statement is a statement that determines whether other statements will be executed. Python Branching Statements – break, continue, pass)
• 12. Python Numbers
• (Python Number data types are for storing numeric values, Python supports integers, floats, and complex numbers.)
• 13. Python Strings
• (String is a sequence of characters written in single quotes or in double quotes or in three double-quotes. The string may have Alphabets, Numbers, and Special Characters. Operations on Strings, Finding String length, Concatenating Strings, Print a String multiple times, Check whether the String having all numeric characters?, and Check whether the String having all alphabetic characters?.)
• 14. Python Lists
• ((Python Data Structures, Create Python Lists, Update Python Lists, Delete Elements from Python Lists, and Built-in Functions & Built-in Methods for Python Lists.))
• 15. Python Tuples
• (Tuples are sequences, just like lists. The differences between tuples and lists are, the tuples cannot be changed unlike lists and tuples use parentheses, whereas lists use square brackets.)
• 16. Python Sets
• (A Python set is a collection that is unordered and unindexed. In Python sets are written with curly brackets.)
• 17. Python Dictionaries
• (A dictionary is a collection that is unordered, changeable, and indexed. In Python dictionaries are written with curly brackets, and they have keys and values.)
• 18. Python Arrays
• (Array is a container that can hold a fixed number of items and these items should be of the same type. Python does not have built-in support for Arrays, but Python Lists can be used instead.)
• 19. Python user-defined Functions
• (In all programming and scripting languages, a function is a block of program statements that can be used repetitively in a program. It saves the time of a developer. In Python concept of function is the same as in other languages. There are some built-in functions that are part of Python. Besides that, we can defines functions according to our need.)
• 20.Python Built-in Functions
• (Python has several functions that are readily available for use. These functions are called built-in functions.)
• 21. Python – Modules
• A module allows you to logically organize your Python code. Simply, a module is a file consisting of Python code. A module can define functions, classes, and variables. A module can also include runnable code.
• 22. Python User Input
• Python user input from the keyboard can be read using the input() built-in function. The input from the user is read as a string and can be assigned to a variable.
• 23. Python File Handling
• Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files.
• 24.Python Exceptions Handling
• Python provides us with the way to handle the Exception so that the other part of the code can be executed without any disruption. However, if we do not handle the exception, the interpreter doesn’t execute all the code that exists after that.
• Python OOPs Concepts
• 25. Python Classes and Objects
• (Classes provide a means of bundling data and functionality together. Creating a new class creates a new type of object, allowing new instances of that type to be made. Objects are an encapsulation of variables and functions into a single entity. Objects get their variables and functions from classes. Classes are essentially a template to create your objects.)
• 26. Python Methods
• (A Python method is a label that you can call on an object; it is a piece of code to execute on that object. Methods are simply another kind of function that reside in classes. You create and work with methods in Python in precisely the same way that you do functions, except that methods are always associated with a class. You can create two kinds of methods: those associated with the class itself and those associated with an instance of a class.)
• 27. Python Constructors
• (A constructor is a special type of method (function) that is used to initialize the instance members of the class. Two types of Constructors in Python, Parameterized Constructor, Non-parameterized Constructor, Constructor definition is executed when we create the object of this class.)
• 28. Python Inheritance
• (Inheritance enables us to define a class that takes all the functionality from a parent class and allows us to add more. Inheritance is a powerful feature in object-oriented programming, Types Inheritance in Python, Single Inheritance, Multi-Level Inheritance, Multiple Inheritance, Hierarchical Inheritance, and Hybrid Inheritance.)
• 29. Python Polymorphism
• (Python Object Oriented Programming – Polymorphism, What is Polymorphism?, Types of Polymorphism in Python, Compile Time Polymorphism (Method OverLoading), Run Time Polymorphism (Method Overriding), Polymorphism with class methods, and Polymorphism with Inheritance)
• 30. Python Abstraction
• (What is Abstraction?, hiding the implementation details and only showing the essential features of the object, Abstraction in Python is achieved by using abstract classes and interfaces.)
• 31. Python Encapsulation
• (Encapsulation is one of the fundamental concepts in object-oriented programming (OOP). It describes the idea of wrapping data and the methods that work on data within one unit. Python is an interpreted programming language and implements weak encapsulation. )
• 32. Regular Expressions
• (A RegEx, or Regular Expression, is a sequence of characters that forms a search pattern. Python has a built-in package called re, which can be used to work with Regular Expressions. The re module offers a set of functions that allows us to search a string for a match. RegEx Functions, Metacharacters, and Special Sequences.)
• 33. Database Access
• (For database programming, Python supports many database servers- MySQL, Oracle, PostgreSQL, SQLite, Sybase, Microsoft SQL Server, mSQL, Microsoft Access, and many more. It also supports Data Query Statements, Data Definition Language (DDL), and Data Manipulation Language (DML). The standard database interface for Python is Python DB-API.)
• 34. Python Multithreading
• (What is a Thread in Computer Science?, What is multithreading in Computer Science?, Advantages of Multithreading, Disadvantages of Multithreading, and Python Multithreading Modules.)
• 35. Python Networking Programming
• (Python plays an essential role in network programming. The standard library of Python has full support for network protocols, encoding, and decoding of data and other networking concepts. What Are Sockets?, )
• 36. Python CGI (Common Gateway Interface) Programming
• (CGI is a set of standards that defines a standard way of passing information or web-user requests to an application program and getting data back to forward it to users. It is the exchange of information between the web server and a custom script.)