
Skill Level
Beginner

Time to Complete
6 Months

Projects
50+ Projects

Prerequisites
None
About Advanced Python
Advanced Python goes beyond the basics, covering in-depth concepts and techniques used in real-world applications. It is essential for developers looking to build high-performance, scalable, and efficient Python programs for software development, automation, data science, and web applications.
Tools You Will Learn in Advanced Java Programming





Master Skills with Detailed Curriculum
Module 1: Installing Python and Setting up an IDE
Module 2: Magic Functions
Module 3: Threads
Module 4: Socket Programming
Module 5: Python Comprehension
Module 6: Decorators / Descriptors
Module 7: Simple Mail Transfer Protocol(SMTP)
Why Get Our Advance Python Programming Certification







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How it Works?

Choose a programme of your interest

Receive personal counselling

Complete application & payment

Get certified & qualify for placement

Understand the Eligibility Criteria for Course Enrollment
- B.E./B.Tech - Computer Science, Information Technology,Electronics, Electronics & Telecommunications, Electrical, Electrical & Electronics
- BSc/MSc - Computer Science, Information Technology
- BCA/MCA
- Final Year Students - Expecting to Graduate in 2023
- Fresh Graduates - Graduated in 2021/2022
- Working Professionals - Graduated in 2020
Most Popular Questions About Our Online Courses
This course covers advanced concepts such as multithreading, multiprocessing, generators, decorators, metaprogramming, file handling, database connectivity, web scraping, data visualization, and Python for automation.
This course is ideal for Python developers, software engineers, data analysts, and professionals looking to deepen their Python knowledge for complex applications.
A solid understanding of Core Python, including functions, OOP, and basic file handling, is recommended before taking this course.
Yes, the course covers memory management, profiling, performance optimization, and efficient coding practices using tools like cProfile and PyPy.
Yes! You will work on hands-on projects, such as automation scripts, web scraping, REST API development, and data processing tasks.
You will explore libraries like NumPy, Pandas, Flask/Django for web development, Requests for web scraping, and SQLAlchemy for database management.
While it covers data handling and visualization, specialized machine learning concepts require additional learning in TensorFlow, Scikit-learn, and PyTorch.
Yes, upon successful completion, you will receive a certification to showcase your expertise in Advanced Python.
This course prepares you for roles such as Python Developer, Data Engineer, Software Architect, and Automation Engineer, boosting your career prospects.