Python COURSE CONTENT
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Overview and history of Python
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Features and applications
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Installing Python and IDE setup
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Writing and executing your first Python program
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Understanding syntax, indentation, and comments
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Variables and data types
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Keywords and identifiers
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Input and output functions
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Type conversion and casting
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Operators and expressions
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Conditional statements – if, elif, else
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Looping statements – for, while
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Nested loops
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Break, continue, and pass statements
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Defining and calling functions
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Function parameters and return types
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Variable scope (local and global)
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Lambda functions
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Recursion
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Creating and accessing strings
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String operations and slicing
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String functions and methods
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Formatting strings
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Escape characters
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Lists: creation, indexing, methods, list comprehension
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Tuples: characteristics and unpacking
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Sets: creation, operations, and methods
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Dictionaries: key-value pairs, iteration, and methods
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Opening and closing files
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Reading and writing files
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Working with CSV and text files
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File exceptions and handling
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Error types and debugging
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Try, except, else, finally blocks
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Raising and handling exceptions
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Custom exceptions
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Classes and objects
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Constructors and destructors
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Inheritance and polymorphism
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Encapsulation and abstraction
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Method overriding
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Importing and using modules
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Creating custom modules
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Standard library overview (math, random, datetime, os)
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Managing packages with pip
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Introduction to re module
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Pattern matching and searching
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Meta characters and special sequences
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Replace, split, and findall functions
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Reading and writing JSON data
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Connecting Python with MySQL / SQLite
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Performing CRUD operations
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Handling CSV and Excel files
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NumPy: Arrays and numerical operations
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Pandas: DataFrames and data manipulation
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Matplotlib: Data visualization basics
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Decorators and generators
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Virtual environments
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File compression (zip, tar)
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Working with APIs
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Web scraping using requests and BeautifulSoup
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Mini Projects: Calculator, To-Do App, Quiz App
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Major Project: Data Analysis / Web Application
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Beginners interested in programming and software development
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Students aiming for a career in Data Science, AI, or Web Development
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Professionals looking to upskill in automation or backend development
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Anyone passionate about learning one of the most in-demand languages
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FREE Demo Session to understand course flow and opportunities
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Comprehensive training from basics to advanced Python concepts
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Hands-on practice with real-world coding challenges and mini projects
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Covers popular libraries like NumPy, Pandas, Flask, and Django
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Placement-oriented training with interview preparation sessions
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We maintain small batch sizes to provide personalized attention and mentorship.
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Learn from certified trainers with industry-level coding experience
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Hands-on, project-based learning approach
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Regular assessments and one-on-one doubt clarification sessions
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Comprehensive placement support with mock interviews
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Receive an industry-recognized Python Developer Certificate after completion.
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Understand Python syntax, data structures, and object-oriented concepts
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Develop web applications using Django and Flask frameworks
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Apply Python in Data Science, Automation, and API development
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Build and deploy real-world projects to enhance your portfolio