Udemy

Advanced Foundations of Python Programming

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  • 130,865 Students
  • Updated 6/2023
  • Certificate Available
4.4
(588 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 57 Minute(s)
Language
English
Taught by
SDE Arts, Ahmed El Mohandes
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.4
(588 Ratings)

Course Overview

Advanced Foundations of Python Programming

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

Hello and welcome to the Advanced Foundations of Python Programming | 2023 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!

Course Content

  • 11 section(s)
  • 58 lecture(s)
  • Section 1 Module 1: Introduction + Advanced Collections
  • Section 2 Module 2: Advanced Functions
  • Section 3 Module 3: The Power of Args and Kwargs
  • Section 4 Module 4: Iterators and Iterables
  • Section 5 Module 5: Generators
  • Section 6 Module 6: OOP Metaclasses
  • Section 7 Module 7: Decorators
  • Section 8 Module 8: Comprehensions
  • Section 9 Module 9: Logging in Python
  • Section 10 Module 10: Python Calendars
  • Section 11 BONUS SECTION

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


Reviews

  • A
    Ameenul Aslam A
    4.0

    good

  • B
    Benaebi
    5.0

    good course,

  • T
    TSOPZONG NGUEGANG Cédric
    5.0

    oui

  • R
    Robert Kleszczynski
    4.0

    Solid course for understanding the basics of these python structures. Examples and explanations are pretty good, but the optional parameters are only briefly mentioned without examples of use.

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