Python

Python course is offered by SDLC (Skill Development Learning Centre). With a commitment to excellence, industry relevance, and hands-on learning experiences, SDLC has established itself as a trusted partner in the professional development of IT enthusiasts and enterprises alike.

Modules:

• Module 1: Introduction to Python
• Overview of Python
• Installing Python and Setting up Development Environment
• Basic Syntax and Variables
• Data Types and Operators
• Control Structures (Loops, Conditionals)
• Module 2: Functions and Modules
• Functions and Scope
• Built-in Functions and Libraries
• Creating Custom Functions
• Importing and Using Modules
• Module 3: Data Structures in Python
• Lists, Tuples, and Dictionaries
• Sets and Frozensets
• Strings and String Manipulation
• Working with Files (Reading and Writing)
• Module 4: Object-Oriented Programming (OOP)
• Classes and Objects
• Inheritance, Encapsulation, and Polymorphism
• Abstraction and Interfaces
• Exception Handling and Error Management
• Module 5: Advanced Python Concepts
• Decorators and Generators
• Context Managers (with Statement)
• Multi-threading and Multiprocessing
• Regular Expressions (Regex)
• Module 6: Web Scraping with Python
• Introduction to Web Scraping
• Using BeautifulSoup for HTML Parsing
• Scraping Data from Websites
• Handling Forms and Sessions
• Module 7: Data Analysis and Visualization
• NumPy for Numerical Computing
• Pandas for Data Manipulation
• Data Cleaning and Preprocessing
• Data Visualization with Matplotlib and Seaborn
• Module 8: Database Interaction
• Connecting to Databases (SQLite, MySQL, or PostgreSQL)
• Executing SQL Queries from Python
• Data Retrieval and Manipulation
• Module 9: Introduction to Django (Optional)
• Setting up a Django Project
• Creating Models, Views, and Templates
• Building a Basic Web Application
• Module 12: Data Science Libraries
• Introduction to SciPy and Scikit-Image for Scientific Computing
• Using Statsmodels for Statistical Analysis
• Introduction to TensorFlow and Keras for Deep Learning
• Module 13: Final Projects and Capstone
• Building Data Analysis or Machine Learning Projects
• Preparing for Technical Interviews
• Resume Building and Job Placement Assistance