Hello, I'm Moumita Saha, an experienced professional with a diverse background in education, IT, and programming. With over 15 years of extensive experience, I have served in various capacities, including IT faculty, course coordinator, computer instructor, and mathematics teacher across esteemed educational institutions such as Vidhyasagar College for Women, Bethune College, and Basanti Devi College. My expertise spans a wide range of technical skills, encompassing application software like VB 6.0, MS Office, and MS Access, as well as programming languages such as C, C++, JAVA, and Python. I hold an M.Sc. in Computer Science and DOEACC 'A' Level certification, further bolstering my qualifications. Currently, I am contributing as an IT Faculty at an After School Coaching Institute in Kerala, bringing my wealth of knowledge and experience to nurture the next generation. Fluent in Hindi and English, I am adept at effectively communicating complex concepts and fostering a conducive learning environment. Outside of work, I enjoy freelancing as a website developer and digital marketer, exploring new avenues in the ever-evolving tech landscape. With a passion for education and technology, I am dedicated to empowering students and helping them realize their fullest potential.

Degree: Bachelors of Science - University: Calcutta University

Degree: Masters of Computer Applications - University: Calcutta University

Degree:

An advanced Python course typically assumes a solid foundation in programming with Python and covers more advanced topics and best practices.

• Learning Objectives:

  1.Advanced Python Language Features

  2. Object-Oriented Programming (OOP) in Python

  3. Functional Programming in Python

  4. Concurrency and Parallelism

  5. Testing and Debugging

  6. Advanced Libraries and Frameworks:

  7. Best Practices and Code Quality

  8. Real-World Projects and Case Studies

  9. Emerging Trends and Advanced Topics

• Course Outline:

  1. Advanced Python Language Features:

  • Decorators and Metaclasses:

    • Understanding and creating decorators
    • Exploring metaclasses and their use cases

  • Context Managers:

    • Writing context managers using the with statement
    • Implementing custom context managers

  • Generators and Coroutines:

    • Creating generators for lazy evaluation
    • Introduction to asynchronous programming with coroutines

  2. Object-Oriented Programming (OOP) in Python:

  • Advanced Class Features:

    • Class methods, static methods, and instance methods
    • Property decorators for getter and setter methods

  • Inheritance and Polymorphism:

    • Understanding inheritance and method overriding
    • Implementing polymorphism with abstract classes and interfaces

  • Design Patterns:

    • Exploring common design patterns (e.g., Singleton, Factory, Observer)
    • Applying design patterns in Python projects

  3. Functional Programming in Python:

  • First-Class Functions:

    • Treating functions as first-class citizens
    • Higher-order functions and function composition

  • Lambda Expressions and Closures:

    • Writing concise functions with lambda expressions
    • Understanding closures and their applications

  • Functional Tools (map, filter, reduce):

    • Using functional programming tools for data manipulation
    • Applying these tools to real-world scenarios

  4. Concurrency and Parallelism:

  • Threading and Multiprocessing:

    • Working with threads and the Global Interpreter Lock (GIL)
    • Leveraging multiprocessing for parallelism

  • Asynchronous Programming:

    • Introduction to asynchronous I/O with asyncio
    • Writing asynchronous code using async and await

  5. Testing and Debugging:

  • Unit Testing:

    • Writing unit tests with the unittest or pytest framework
    • Test-driven development (TDD) principles

  • Debugging Techniques:

    • Using built-in debugging tools and IDE support
    • Profiling and optimizing Python code

  6. Advanced Libraries and Frameworks:

  • Data Science Libraries:

    • Exploring libraries like NumPy, Pandas, and Matplotlib
    • Basic data analysis and visualization techniques

  • Web Development Frameworks:

    • Overview of frameworks like Flask or Django
    • Building RESTful APIs with Flask

  7. Best Practices and Code Quality:

  • Code Reviews and Collaboration:

    • Participating in and conducting effective code reviews
    • Collaborative development using version control (e.g., Git)

  • Coding Standards and PEP 8:

    • Adhering to Python coding standards
    • Using tools like linters and formatters (e.g., Flake8, Black)

  8. Real-World Projects and Case Studies:

  • Capstone Project:
    • Applying learned skills to a comprehensive project
    • Integrating various concepts covered in the course

  9. Emerging Trends and Advanced Topics:

  • Machine Learning with Python:

    • Overview of machine learning libraries (e.g., scikit-learn, TensorFlow)
    • Basic concepts of machine learning and model training

  • Containerization and Deployment:

    • Dockerizing Python applications
    • Deploying Python applications on cloud platforms

   

• Recomended Audience:

  Hobbies classes and Extracurricular activities are suitable for students whose age is more than or equal to 5 years old. As your child continues to grow, you will notice new and exciting abilities that your child Hobbies classes and Extracurricular activities are suitable for students whose age is more than or equal to 5 years old. As your child continues to grow, you will notice new and exciting abilities that your child. A child’s  brain grows the most during the first five years of life. By age 5, the brain has reached approximately 90 percent of its adult size. This means that much of the brain  structure and function has been established. Hence our best recommended audience for these hobbies classes are all students who are minimum 5 years old and more. Even a grownup student upto 16 years old can also go ahead for these Hobbies & Extra Curricular classes .

• Pre-Requisite Requirement:

  For attending Hobbies and Extra curricular activities classes, Basic prerequisite requirement is having interest in learning of that class. Without having natural interest on particular topic/class, it's not meaningful to proceed with it along with Instructor . So it's advisable to have these as a part of the learning phase of your life  if you are really inclined and motivated to learn that hobby or activity. You should have all the items and required things with you at your home which are needed in that class. If not then you must buy from the market after taking suggestions from Instructors as per provided standard.

• Course Level:
  Beginner
• Language of Teaching:
  English
• Class Schedule Availiability:
  Morning