Advanced Foundations of Python Programming | 2022 Training

Advanced Foundations of Python Programming | 2022 Training

Advanced Foundations of Python Programming | 2022 Training

Digging Into The Advanced Foundations of Python Programming – Become An Advanced Python Developer – Hands-On Training

Language: english

Note: 4.1/5 (214 notes) 65,664 students

Instructor(s): SDE Arts | Octavo

Last update: 2021-08-27

What you’ll learn

  • Advanced Collections: Named Tuples, Default Dictionary, Counters, Ordered Dictionary, Queues and Deques
  • Advanced Functions: Zipping, Unzipping, Evaluating expressions, Memory view, Mapping objects with lambda, Enumerating objects and Executing Python expressions
  • The *args and **kwargs to pass variable number of args
  • Iterators and Iterables in Python: Iterate over sequences using different techniques and tricks. Building Iterators using FP and OOP
  • Generator functions with many yield statements and Generator expressions
  • Metaclass: Built-in metaclasses and building custom metaclass
  • Decorators: Functional Programming, Regular way to decorate a function, and the best way using @
  • Comprehensions: List comprehension, Dict comprehension, Set comprehension and Tuple comprehension
  • Building Logger to indicate the problems
  • Creating custom Calendar with different ways

 

Requirements

  • Python Basics such as Variables, Data Types, Data Structures, Control Flow, Loops, Functions and Classes
  • The Jupyter Notebook or any working environment for Python

 

Description

Hello and welcome to the Advanced Foundations of Python Programming | 2022 Training Masterclass.

Learn the Advanced foundations of modern python programming with this powerful, deep, direct to the point and interactive training.

For each concept in this course, you’ll master the theory then you’ll  practice with many real examples.

Do you want to Advance your Python development career?

Do you want to be able to create real programs using the advanced concepts of Python?

This effective training course is created for you to help you master the most important advanced concepts in python programming language, and it will save your valuable time.

By the end of this course you’ll learn:

  • Advanced Collections: Named Tuples, Default Dictionary, Counters, Ordered Dictionary, Queues and Deques.

  • Advanced Functions: Zipping, Unzipping, Evaluating expressions, Memory view, Mapping objects with lambda, Enumerating objects and Executing Python expressions.

  • The *args and **kwargs to pass variable number of args.

  • Iterators and Iterables in Python: Iterate over sequences using different techniques and tricks.

    Building Iterators using FP and OOP.

  • Generator functions with many yield statements and Generator expressions.

  • Metaclass: Built-in metaclasses and building custom metaclass.

  • Decorators: Functional Programming, Regular way to decorate a function, and the best way using @.

  • Comprehensions: List comprehension, Dict comprehension, Set comprehension and Tuple comprehension.

  • Building Logger to indicate the problems.

  • Creating custom Calendar with different ways.


    This advanced training course is full of examples to clarify each concept in detail.

    You’ll master all that and more, and if you encounter any problems during this course, you’ll get the QA Instructor support as soon as possible.

Learn, understand, practice and master the advanced foundations of the python programming language like python experts .

So, what are you waiting for, enroll now to go through this advanced and deep Training of the most popular Programming Language on the market, Python.

Become An Advanced Python Guru in no time!

Let’s get started!

 

Who this course is for

  • Python Beginners who know the Python basics
  • Intermediate Python developer
  • Anyone who wants to master the advanced foundations of Python in no time
  • Python developer who wants to advance his dev career
  • Python Developers from all levels who know the Python basics and curious about advanced concepts

 

Course content

  • Module 1: Introduction + Advanced Collections
    • Introduction to Training
    • Python Named Tuples overview
    • Python Named Tuples 1
    • Python Named Tuples 2
    • The DefaultDict in Python 1
    • The DefaultDict in Python 2
    • Building Counters overview
    • Building Counters 1
    • Building Counters 2
    • The OrderedDict in Python 1
    • The OrderedDict in Python 2
    • The OrderedDict in Python 3
    • Queues in Python
    • Deques in Python
  • Module 2: Advanced Functions
    • Zipping and Unzipping iterables overview
    • Zipping and Unzipping iterables 1
    • Zipping and Unzipping iterables 2
    • Evaluate Python expressions 1
    • Evaluate Python expressions 2
    • Evaluate Python expressions 3
    • Memory view 1
    • Memory view 2
    • Memory view 3
    • Mapping Objects + Lambda 1
    • Mapping Objects + Lambda 2
    • Mapping Objects + Lambda 3
    • Enumerate an object 1
    • Enumerate an object 2
    • Enumerate an object 3
    • The exec to execute code 1
    • The exec to execute code 2
    • The exec to execute code 3
  • Module 3: The Power of Args and Kwargs
    • args and kwargs overview
    • The *args in Python
    • The **kwargs in Python
  • Module 4: Iterators and Iterables
    • Iterators and Iterables overview
    • Iterators and Iterables part 1
    • Iterators and Iterables part 2
  • Module 5: Generators
    • Generators overview
    • Generators part 1
    • Generators part 2
  • Module 6: OOP Metaclasses
    • Metaclass overview
    • Metaclass part 1
    • Metaclass part 2
  • Module 7: Decorators
    • Decorators overview
    • Decorators part 1
    • Decorators part 2
  • Module 8: Comprehensions
    • List Comprehension 1
    • List Comprehension 2
    • List Comprehension 3
    • Dictionary Comprehension
    • Set Comprehension
    • Tuple Comprehension
  • Module 9: Logging in Python
    • Logging overview
    • Building logger
  • Module 10: Python Calendars
    • Calendar overview
    • Creating Custom Calendars
  • BONUS SECTION
    • Bonus

 

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