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Advanced Python Training

Live Online & Classroom Enterprise Training

With our Python Fundamentals Training, master the skills you need to develop complex and intelligent Python web applications, client-side applications, data analytics solutions, data transfer applications and much more. Learn the practice of code reusability by creating custom modules and libraries for later use

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Key Features
  • Lifetime Access

  • CloudLabs

  • 24x7 Support

  • Real-time code analysis and feedback

  • 100% Money Back Guarantee

PDP BG 1
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What is Advanced Python training about?

Gain an understanding of object oriented programming with our Python Fundamentals course and internalize its core features and functions. Learn to program in Python and handle files, directories, exceptions and modules. Practice hands-on exercises on our Cloudlabs as you learn with our industry expert. Master the best practices and techniques of Python programming.

Become industry- ready to develop robust Python applications for your organization.

What are the objectives of Advanced Python training?

At the end of this Python Fundamentals training, you will be able to:

  • Use your in-depth understanding of Python's architecture, memory models, object oriented features, input and output details: stdio and file IO on projects
  • Demonstrate a good understanding of Python's simple and robust error handling methods
  • Implement flexible function protocols in Python
  • Leverage built-in data types: Using them and inheriting from them in classes you design
  • Deploy Python's list comprehensions, decorators, iterators, generators, context managers
  • Rapidly develop, iterate and deploy enterprise-grade Python applications using off-the-shelf libraries for general purpose usage
Available Training Modes

Live Online Training

18 Hours

Classroom Training

 

3 Days
PDP BG 2

Who is Advanced Python training for?

  • Developers, system administrators, and QA engineers, who wish to develop, automate, and test applications and systems using Python
  • Aspiring data scientists, data analysts and machine learning engineers who wish to program in Python

What are the prerequisites for Advanced Python training?

Foundational knowledge of OOP concepts / language

Course Outline

  • Getting Started with Python 3
    • Installation
    • Read-Eval-Print-Loop or REPL
    • Significant Whitespace in Python
    • Zen of Python
    • Importing from Standard Python Library
    • Scalar Types: int, float, None and bool
    • Relational Operators
    • Conditional Statements
    • While Loops
  • Strings and Collections
    • Strings
    • Bytes
    • Lists
    • Dictionaries
    • For-Loops
    • Putting it All Together
  • Modularity
    • Creating, Running, and Importing a Module
    • Defining Functions and Returning Values
    • Module Import vs. Module Execute
    • Python Execution Model
    • Command Line Arguments
    • Documenting Code
  • Objects
    • Argument Passing
    • Function Arguments in Details
    • Python's Type System
    • Variable Scoping
    • Everything is an Object
  • Collections
    • Tuple
    • String
    • trange
    • List
    • Shallow COpies
    • List Repetitions
    • Growing List
    • Reversing and Sorting Lists
    • Dictionary
    • Set
    • Collection Protocols
  • Handling Exceptions
    • Exceptions and Control Flow
    • Handling Exceptions
    • Programmer Errors
    • Imprudent Error Codes
    • Re-raising Exceptions
    • Exceptions as APIs
    • Exceptions, APIs, and Protocols
    • EAFP vs LBYL
    • Clean-up Actions
  • Iterables
    • List Comprehensions
    • Set Comprehensions
    • Dictionary Comprehensions
    • Filtering Predicates
    • Iteration Protocols
    • Generators
    • Stateful Generator Functions
  • Classes
    • Defining Classes
    • Instance Methods
    • Initializers
    • Collaborating Classes
    • OO with Function Objects
    • Polymorphism and Duck Typing
  • Files and Resource Management
    • Writing Text Files
    • Reading Text Files
    • Appending to Text Files
    • Files as iterators
    • Managing files with Try
    • Context Managers
    • Writing Binary Files
    • Bitwise Operators
    • Fractal Images
    • File Like Objects

Who is the instructor for this training?

The trainer for this Python Fundamentals certification has extensive development experience in NoSQL databases, including years of experience mentoring professionals in Python.

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