Advance Python [Instructor-Led]

Categories: AI, Programming
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About Course

“This is an Instructor-Led course. After enrolling online, our team will contact you with venue details, batch timings, and offline schedule.”


Course Description:

DeepThoughtNet’s Advanced Python Training is designed for learners who already understand Python basics and want to master the language at a professional, industry-ready level. This course dives deep into real-world applications, performance optimization, OOP mastery, API development, automation, multi-threading, data handling, design patterns, and best practices used in top tech companies.

You will work on hands-on projects, write production-grade code, automate workflows, build REST APIs, understand architectural patterns, and use Python like a true engineer. By the end of this course, you’ll be able to build scalable applications, clean reusable modules, and solve complex software problems confidently.

This course is ideal for professionals, students, and developers who want to elevate their Python skills to stand out in the competitive tech landscape.

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What Will You Learn?

  • By the end of this Advanced Python Course, you will be able to:
  • 🔹 1. Write Industry-Grade, Professional Python Code
  • 🔹 2. Master Advanced Concepts (OOP, Decorators, Generators, Typing)
  • 🔹 3. Build High-Performance Applications
  • 🔹 4. Work with Databases Like a Pro
  • 🔹 5. Develop REST APIs Using Flask & FastAPI
  • 🔹 6. Automate Real-World Tasks & Workflows
  • 🔹 7. Handle Large Data, Files & Integrations
  • 🔹 8. Apply Software Engineering Patterns & Architecture
  • 🔹 9. Build & Deploy a Complete Capstone Project
  • 🔹 10. Become Industry-Ready for Python Jobs

Course Content

Topic 1: Advanced Python Foundations
Deep dive into Python internals, advanced syntax, memory model, and writing highly efficient Python code.

  • Python Internals & Execution Model
  • Advanced Data Types & Comprehensions
  • Iterators, Generators & Lazy Evaluation

Topic 2: Functional Programming in Python
Master functional style coding using lambdas, higher-order functions, closures, and decorators.

Topic 3: Object-Oriented Python (Advanced OOP)
Complete understanding of OOP, inheritance, polymorphism, abstract classes, and design principles.

Topic 4: File Handling & Data Processing
Process large datasets, handle files efficiently, work with JSON, CSV, logging, and error handling.

Topic 5: Multithreading, Multiprocessing & Async Programming
Learn concurrency, parallelism, async/await, and build high-performance applications.

Topic 6: Working With Databases
Learn SQL/NoSQL connections, ORM usage, and building data-driven applications.

Topic 7: API Development With Python
Build professional REST APIs using Flask & FastAPI with authentication and validation

Topic 8: Automation, Scripting & Tools
Automate daily tasks, system operations, and real workflows using Python

Topic 9: Data Science & Visualization (Optional Bonus)
Basics of data analysis, NumPy, Pandas, and visualization tools.

Topic 10: Final Capstone Project
A full-scale real-world project applying everything you learned

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