This course includes an overview of the various tools available for writing and running Python, and gets students coding quickly. It also provides hands-on coding exercises using commonly used data structures, writing custom functions, and reading and writing to files.cy and a passion for learning are all you need to get started.
Key Features of Course Divine:
Career Opportunities After Python:
Essential Skills you will Develop Python:
Tools Covered:
Syllabus:
Module 1: Introduction to Python History & Features of Python Setting up Python environment Python IDEs (IDLE VS Code) Writing and executing first Python program Comments and indentation Data types & Variables Input & Output operations.
Module 2: Operators and Expressions Arithmetic, Relational, Logical, Bitwise, Assignment operators Operator precedence Type conversion and casting
Expressions and evaluation.
Module 3: Control Flow Statements Conditional statements (if, if-else, if-elif-else)
Loops: for, while, break, continue, pass Looping patterns and examples.
Module 4: Data Structures in Python Strings and String operations Lists, Tuples, Sets, Dictionaries Comprehensions (List, Set) Nested data structures Iterating over collections.
Module 5: Functions and Modules Defining and calling functions Function arguments – default, keyword, variable-length lambda, map, filter, reduce Recursion
Modules and packages import, from…import, as Creating custom modules.
Module 6: File Handling Reading and writing files (Text & Binary) Working with with and open() File operations: read, write, append Handling CSV and JSON files.
Module 7: Exception Handling Errors and exceptions try, except, finally, else blocks
Raising exceptions Custom exceptions.
Module 8: Object-Oriented Programming (OOP) Classes and objects constructor
Attributes and methods Inheritance, Polymorphism Encapsulation and Abstraction
Special methods.
Module 9: Advanced Python Concepts Iterators and Generators Decorators and Context Managers Regular Expressions Date and Time module Lambda and functional programming.
Module 10: Projects & Certification Exam Preparation Mini Projects (e.g., Calculator, To-Do App, Web Scraper) Practice problems Mock certification exam Tips for Python Certification (e.g., PCAP, PCEP by Python Institute).
Industry Projects:
Who is this program for?
How To Apply
Mobile: 9100348679
Email: coursedivine@gmail.com
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