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About Course:

In this advanced Python course, students already familiar with Python programming will learn advanced Python techniques such as Jupyter Notebook, the Collections module, mapping and filtering, lamba functions, advanced sorting, working with regular expressions in Python, working with databases, CSV files, JSON and XM, writing object-oriented code, testing and debugging and learning about Unicode and text encoding.

Duration : 25 hours

Fee: 319

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Software Developer

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Clear understanding of basics of Python.

Delivery Methodology

We are using an experiential delivering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course.

Class Delivery

Live Interactive classes with expert

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+91 769-409-5404

  • 24 hours on-demand video
  • Articles
  • Coding Exercises
  • Full lifetime access
  • Certificate of Completion


Python Advanced Training

Python Advanced Online Training

Introduction to Python Advanced Online Training Course Curriculum 

Python Advanced Training

  • More on Functions
  • Functions with variable argument 
  • Function with keyword argument
  • Function closure
  • Inner function
  • Nested function
  • Anonymous function (lambda)
  • Function introspection
  • Delayed evaluation
  • Generator functions
  • Higher Order function

Functional Programming in Python

  • Functional programming concept
  • Iterators
  • Generator Expression and List Comprehension
  • Generators
  • Built-in functions (map, reduce, filter)
  • Built-in module functool

Metaprogramming using Functions

  • Decorators 
  • Function decorators
  • Advanced function decorators

More on Classes

  • Classes
  • Name spaces
  • Inside Python objects
  • Dot operator explained
  • Class and instance variables
  • Private variables and private methods in class
  • Special methods like __str__
  • Inheritance in Python
  • Super method in Python
  • Descriptor protocol

Metaprogramming using Classes

  • Extending decorators to class - Class decorators 
  • Static method
  • Class method
  • Properties

Modules and Packages

  • How to organize large program
  • Import statement and its Internal working

Some Important Python Modules

  • Subprocess
  • re
  • pexpect
  • paramiko
  • logging
  • json
  • multiprocessing
  • socket
  • request

Testing and Debugging

  • How to write unit tests to test your code
  • Introduction to built-in module unittest, doctest
  • Assertion in unit tests
  • How to use debugger from command line and from IDE

Python tools

  • pep8
  • pylint
  • 2to3
  • profiler

Class Delivery 

  • Live Interactive classes with expert

Delivery  Methodology
We are using an experiential delievering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course

Use Case

Use Case 1


Benefits of Certificate

Certification demonstrates your dedication, motivation and technical knowledge on a specific platform. Having a certification shows that you not only possess comprehensive knowledge of that technology but you also care enough about your own career to spend the time and money to get the certification.

We are welcoming our Students or professionals to participate in our professional online courses. We are offering great variety of online training programs and professional courses that you can always find as desired. After the completion of training program they will receive a certificate from BISP. As a Certified professional you can apply that knowledge in your future profession and enjoy with better salaries & career prospects.

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