Python Programming - Multithreading, OOP, NumPy and Pandas

Posted By: Sigha
Python Programming - Multithreading, OOP, NumPy and Pandas

Python Programming - Multithreading, OOP, NumPy and Pandas
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 3.47 GB
Genre: eLearning Video | Duration: 198 lectures (13 hour, 15 mins) | Language: English

Learn Python Programming Language - Basics, Multithreading, Parallel Programming, OOP and NumPy, Matplotlib and Pandas

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
Understand NumPy and Pandas
Understand Matplotlib
Get a good grasp on multithreading, concurrent programming and parallel programming
Can move to more advanced topics such as algorithms or machine learning
Understand databases and database management with Python


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


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


2.) Functions

what are functions in Python

positional and keyword arguments

return and yield


3.) Data Structures

how to measure the performance of data structures?

data structures introduction



dictionaries and sets

4.) Object-Oriented Programing (OOP)

what is the advantages and disadvantages of OOP?

classes and objects




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?



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




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?



apply function (in comparison with loops)


14.) Database Management in Python

what are databases and why do we need them?


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!

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 - Multithreading, OOP, NumPy and Pandas

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