Python Programming - Multithreading, OOP, NumPy and Pandas

Description

Join us and become a Python Programmer, learn one of most requested skills of 2022!

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

12.) Matplotlib

• how to create plots in Python

• charts, line charts and scatter plots

13.) Pandas

• why do we need Pandas in data sciences?

• Series

• DataFrames

• apply function (in comparison with loops)

• vectorization

14.) Database Management in Python

• what are databases and why do we need them?

• MySQL and SQL

• SQL statements in Python

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!

TAKE THIS COURSE