OVERVIEW
Python serves an essential role in artificial intelligence by providing it with excellent technologies like data-driven documents in JS and machine learning. These are the most remarkable and easy-to-use techniques for perceiving the world. In addition to structures, its rapid prototyping gives it a crucial language that should not be disregarded. It is crucial to avoid using a 500 KB The Java language program code to test another aspect because computer-based intelligence requires a lot of investigation.
Python Scripting is one of the easy languages to learn and is widely used from individuals to big organizations such as Google. This Python training starts with the basic syntax of Python and continues to small GUI programs. You will learn Python data types such as Tuples and Dictionaries, Looping, Functions and I/O handling. Python training will also give you an overview of Object Oriented Programming and Graphical application development. Python Scripting course will explain some basics modules and their usage. At the end of the Python Scripting Training, individuals will have the skills to grow in Web-Development, GUI Application Programming, Game Development and writing powerful scripts for System Administration.
Python Training Course Syllabus
Introduction to Python
- Overview of Python
- History of Python
- Cpython, Jython, PyPy
- Key Features of Python
- Areas of Application of Python
- Setting up Python Environment
- Understanding Python’s Interpreter and Execution Model
- Writing Your First Python Program
- Python's Integrated Development Environment (IDLE)
Python Basics
- Variables, Data Types, and Operators
- Input and Output in Python
- Python Comments
- Indentation in Python
- Python Identifiers and Reserved Keywords
- Python Control Structures: if, else, elif, and nested conditions
- Loops in Python: for, while, break, continue
Python Data Structures
- Lists: Creating, Indexing, Slicing, and Methods
- Tuples: Immutable Sequences
- Dictionaries: Key-Value Pair Mapping
- Sets: Unique Collections of Elements
- List Comprehensions and Dictionary Comprehensions
Functions and Modules
- Defining and Calling Functions
- Function Arguments: Default, Keyword, Variable-length
- Lambda Functions
- Recursion in Python
- Python Modules: Creating and Importing Modules
- Standard Python Library (math, datetime, os, etc.)
- Using pip for Package Management
File Handling
- Opening and Closing Files
- Reading and Writing Files
- Handling File Exceptions
- Working with CSV files
- File and Directory Operations with os and shutil
Object-Oriented Programming (OOP) in Python
- Classes and Objects
- Attributes and Methods
- The __init__ Constructor
- Inheritance: Single, Multiple, and Multilevel
- Method Overriding
- Encapsulation and Data Hiding
- Polymorphism
Error and Exception Handling
- What are Errors and Exceptions?
- Try, Except, Else, and Finally
- Custom Exception Classes
- Raising Exceptions
- Handling Multiple Exceptions
Regular Expressions
- Introduction to Regular Expressions
- Match and Search Functions
- Pattern Matching using re module
- Substitution and Splitting