Basics, Multithreading, OOP and NumPy

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Description of Basics, Multithreading, OOP and NumPy

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

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 аbout:

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

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

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