Python Course Description

What is Python Programming Language?

Python Language is an extensively used general-purpose, high-level, object-oriented, interpreted, dynamic programming language. IT companies like Google, Yahoo, IBM, NASA and much more favor Python language for their job. The syntax of Python is extremely easy to learn and read. Python is open source, which makes it free to use and distribute, including for commercial goals. The Python interpreter and its extensive standard library are openly available. Python has built-in list and dictionary data structures that can be applied to construct agile runtime data structures.

Why join us to Learn Python Programming Language?

Our training institute offers Python programming training in Bangalore and python tutorial online with placements, after completing the course. Our trainers are well experienced and professionals working in Python language. Students get real-time projects in this course. Python can be learned as a first programming language and our training institute best suited for it. This Python tutorial for beginners is designed in such a way that students can master Python without any difficulty. If you are a programmer and wants to move to Python we can surely help you in that. Our teaching methods are very effective, students get lots of python programming examples and python programming pdf for their reference. For Python classes, we use latest python ide. Call now and join today our institute to learn Python programming language.


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Python Programming Language Course Curriculum

Introduction & Environment Setup

• Environment Setup for Python Programming
• Using the Python Interpreter
• Invoking the Interpreter
• Argument Passing
• Interactive Mode
• The Interpreter and Its Environment

An Informal Introduction to Python

• Using Python as a Calculator
• Numbers
• Strings
• Lists

Control Flow in Python Language

• if Statements
• for Statements
• The range() Function
• break and continue Statements, and else Clauses on Loops
• pass Statements
• Defining Functions
• More on Defining Functions
• Default Argument Values
• Keyword Arguments
• Arbitrary Argument Lists
• Unpacking Argument Lists
• Lambda Expressions
• Documentation Strings
• Function Annotations
• Intermezzo: Coding Style

Data Structures

• More on Lists in Python Language
• Using Lists as Stacks
• Using Lists as Queues
• List Comprehensions
• Nested List Comprehensions
• The del statement
• Tuples and Sequences
• Sets in Python
• Dictionaries in Python
• Looping Techniques
• More on Conditions
• Comparing Sequences and Other Types


• More on Modules in Python
• Executing modules as scripts
• The Module Search Path
• “Compiled” Python files
• Standard Modules
• The dir() Function
• Packages
• Importing * From a Package
• Intra-package References
• Packages in Multiple Directories

Input and Output

• Fancier Output Formatting
• Old string formatting
• Reading and Writing Files
• Methods of File Objects
• Saving structured data with json

Exceptions Handling in Python

• Syntax Errors
• Exceptions
• Handling Exceptions
• Raising Exceptions
• User-defined Exceptions
• Defining Clean-up Actions
• Predefined Clean-up Actions

Classes and Objects

• A Word About Names and Objects
• Python Scopes and Namespaces
• Scopes and Namespaces Example
• A First Look at Classes
• Class Definition Syntax
• Class Objects
• Instance Objects
• Method Objects
• Class and Instance Variables
• Random Remarks
• Inheritance
• Multiple Inheritance
• Private Variables
• Odds and Ends
• Iterators
• Generators
• Generator Expressions

Brief Tour of the Standard Library

• Operating System Interface
• File Wildcards
• Command Line Arguments
• Error Output Redirection and Program Termination
• String Pattern Matching
• Mathematics
• Internet Access
• Dates and Times
• Data Compression
• Performance Measurement
• Quality Control
• Batteries Included

Brief Tour of the Standard Library — Part II

• Output Formatting
• Templating
• Working with Binary Data Record Layouts
• Multi-threading
• Logging
• Weak References
• Tools for Working with Lists
• Decimal Floating Point Arithmetic

Virtual Environments and Packages

• Introduction
• Creating Virtual Environments
• Managing Packages with pip

Built-in Types

• Built-in Functions
• Built-in Constants
• Built-in Exceptions

Graphical User Interfaces with Tk

• Introduction to Tkinter Modules
• Widget
• Combobox
• Notebook
• Progressbar
• Treeview
• Menus
• Ttk Styling