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We have multiple courses from pyothn to Advanced python each covering from a minimum of 25 Hours to 100 Hours according to ability and aptitude of students.
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Basic Course
Course Overview:
This introductory course provides a solid foundation in Python programming. Students will learn the fundamental concepts of Python syntax, data types, control flow, and basic input/output operations.
Key Topics:
Introduction to Python: History, features, and environment setup
Variables, data types, and operators
Control flow statements: If-else, loops (for, while)
Functions and modules
Lists, tuples, dictionaries, and sets
Basic input/output operations (console, files)
Intermediate Course
Course Overview:
Building upon the foundation of the basic course, this course delves deeper into Python concepts and introduces advanced topics such as object-oriented programming, regular expressions, and file I/O.
Key Topics:
Object-oriented programming: Classes, objects, inheritance, polymorphism, encapsulation
Regular expressions: Pattern matching and text manipulation
File I/O: File and directory operations
Error handling: Exceptions and try-except blocks
Libraries and modules: Standard library, third-party libraries
Web scraping: Extracting data from web pages
Advanced Course
Course Overview:
This advanced course targets experienced Python developers who want to explore cutting-edge topics and best practices. It covers topics like data structures, algorithms, and web development with Python.
Key Topics:
Data structures and algorithms: Linked lists, stacks, queues, trees, graphs
Algorithms: Sorting, searching, dynamic programming
Web development: Django, Flask, web frameworks
Database interactions: SQL and NoSQL databases
Machine learning: Introduction to machine learning concepts
Python for data science: NumPy, Pandas, Matplotlib