Python

Python

Duration: 6 Months
    • Introduction to Python
    • Setting up Python Environment (Installing Python, IDEs, Virtual Environments)
    • Basic Syntax: Variables, Data Types, Comments
    • Operators: Arithmetic, Comparison, Logical, and Assignment Operators
    • Control Flow: if, else, elif, and Nested Conditions
    • Loops: for, while, and Nested Loops
    • Functions: Defining Functions, Arguments, Return Values, Lambda Functions
    • Data Structures: Lists, Tuples, Sets, Dictionaries
    • String Manipulation: String Methods, String Formatting, f-strings
    • File Handling: Reading and Writing Files, File Modes, Context Manager
    • Error Handling: try, except, else, finally, Raising Exceptions
    • Modules and Packages: Importing Modules, Creating Packages, Standard Library
    • Object-Oriented Programming (OOP): Classes, Objects, Inheritance, Polymorphism
    • Decorators and Generators
    • Regular Expressions (Regex): Search, Match, and Replace
    • Python Libraries: NumPy, Pandas, Matplotlib, Requests
    • Database Connectivity: SQLite, MySQL, PostgreSQL
    • Web Scraping: Using BeautifulSoup, Requests
    • Python and REST APIs: Using Flask/Django for Web Development
    • Unit Testing: Writing Test Cases with unittest and pytest
    • Virtual Environments: Working with virtualenv and pip
    • Multithreading and Multiprocessing
    • Python for Data Science: NumPy, Pandas, Data Preprocessing
    • Python for Machine Learning: scikit-learn, TensorFlow (Introductory)
    • Working with APIs in Python (RESTful APIs)
    • File Formats: JSON, CSV, XML, and Parsing
    • Python Web Frameworks: Flask, Django
    • Advanced Python Concepts: Metaclasses, Context Managers, Multiple Inheritance
    • Deployment of Python Applications
    • Python Best Practices: PEP8, Code Optimization
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