Python Online Training Course

Name: Python Online Training Course
Rating: 4.5 (354 reviews)
Author: Tutorialspoint

Master Python like a pro with comprehensive online training

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Tutorialspoint

category icon Python,Data Science

Lectures -188

Duration -17.5 hours

4.5 ★★★★ ★

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Course Description

Python Online Training course is created for computer programmers who need to completely master the Python programming language.

Python is a high-level, object-oriented, general-purpose, interactive, and interpreted programming language. Between 1985 and 1990, Guido van Rossum designed it. Python source code is also accessible under the GNU General Public License, just like Perl (GPL). These videos are sufficient for understanding Python programming.

Python Online Training Overview

You will learn how to build Python code for big data platforms in this online Python training course. You will also learn how to work on real-world projects and gain practical experience.

The demand for talented Python programmers to create websites, software components, and applications, as well as to work with Data Science, AI, and ML technologies, is at an all-time high right now. All the major corporations are actively seeking out these programmers. There is a severe lack of Python programmers, despite the market's demand for more of them because of Python's use in machine learning, artificial intelligence, and other fields.

Python is currently the most expensive programming language in America, with a 3-5 year expertise level requiring a $150,000 annual salary.

Goals

What will you learn in this course:

Use essential programming components like variables, conditional logic, looping, and functions to create simple programs.
Collaborate with user input to develop entertaining and engaging programs.
Get familiar with Python functions.
Be able to use fundamental constructs like "if" and other types of loops.
Learn how to change data types.
Understand how to use lists.
Understand the differences between using Python on Windows and Mac.
Learn how to use CSV files.