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Python Programming™ - Basics, Multithreading, OOP and NumPy

Python Programming™ - Basics, Multithreading, OOP and NumPy

(Last Updated: 12/2020)

https://www.udemy.com/course/python-programming-basics-multithreading-oop/

This Course Teaches You the Python Programming Language - Basics, Multithreading, Parallel Programming, OOP and NumPy


 

What you'll learn

Get a fundamental understanding of the Python programming language.

Acquire the background and skills of Python to apply for Python programming jobs

Understand the memory management of Python

Get a good grasp on multithreading, concurrent programming and parallel programming

Can move to more advanced topics such as algorithms or machine learning

 

Requirements

Working computer and internet - setup and installation instructions are included for each platform (Mac and Windows)

Description

Join us and become a Python Programmer, learn one of most requested skills of 2021!

 

This course is about the fundamental basics of Python programming language. Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! You can learn about the hardest topics in programming: memory management, multithreading and object-oriented programming. So these are the topics you will learn about:

 

1.) Basics of Python

 

installing Python and the integrated development environment (IDE)

 

basic operations

 

conditional statements

 

loops

 

2.) Functions

 

what are functions in Python

 

positional and keyword arguments

 

return and yield

 

recursion

 

3.) Data Structures

 

how to measure the performance of data structures?

 

data structures introduction

 

lists

 

tuples

 

dictionaries and sets

 

4.) Object-Oriented Programing (OOP)

 

what is the advantages and disadvantages of OOP?

 

classes and objects

 

constructors

 

inheritance

 

polymorphism

 

5.) Memory Management

 

stack memory and heap memory

 

memory management in Python

 

6.) Handling Files (I/O)

 

read files and write files

 

7.) Exceptions

 

exceptions and errors

 

how to deal with exception

 

try-except-finally blocks

 

8.) Multithreading and Concurrent Programming

 

what are threads and processes?

 

synchronization

 

locks

 

deadlocks and livelocks

 

inter-thread communication

 

9.) Parallel Programming

 

multithreading and parallel programming

 

what is the Global Interpreter Lock (GIL)?

 

10.) Lambda Expressions

 

what is functional programming?

 

why to learn lambda expressions?

 

anonymous functions

 

filter

 

map

 

reduce

 

11.) NumPy

 

real array data structures in Python

 

lists and arrays comparison

 

NumPy fundamentals

 

You will get lifetime access to 110+ lectures plus slides and source codes for the lectures!

 

This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back.

 

So what are you waiting for? Learn Python in a way that will advance your career and increase your knowledge, all in a fun and practical way!

 

Who this course is for:

Students or beginners with no previous programming experience looking to obtain the skills to get their first programming job

If you are an expert Python programmer with decades of programming experience, then this course is not for you

 

Python Programming™ - Basics, Multithreading, OOP and NumPy


 TO MAC USERS: If RAR password doesn't work, use this archive program: 

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