The Complete Python Course for Beginners (2024)

The Complete Python Course for Beginners (2024), available at $54.99, has an average rating of 4.1, with 84 lectures, based on 17 reviews, and has 187 subscribers.

You will learn about Be able to program in Python professionally (2024) Get hands-on experience and solve 200+ coding exercises. Become proficient in Python Get all the skills to demonstrate expertise in Python programming Gain an in-depth understanding of basic & advanced Python Set firm foundation in Python for the rest of your career This course is ideal for individuals who are Beginners Programmers – Those who want to Master Python Programming Skills or Python Programmers – Those who want to enhance their Python Programming Skills. or Students and Engineers – Those who are enrolling in Python as an academic course. or Professional Programmers – Those who want to switch to Python Programming. It is particularly useful for Beginners Programmers – Those who want to Master Python Programming Skills or Python Programmers – Those who want to enhance their Python Programming Skills. or Students and Engineers – Those who are enrolling in Python as an academic course. or Professional Programmers – Those who want to switch to Python Programming.

Enroll now: The Complete Python Course for Beginners (2024)

Summary

Title: The Complete Python Course for Beginners (2024)

Price: $54.99

Average Rating: 4.1

Number of Lectures: 84

Number of Published Lectures: 84

Number of Curriculum Items: 84

Number of Published Curriculum Objects: 84

Original Price: $29.99

Quality Status: approved

Status: Live

What You Will Learn

Be able to program in Python professionally (2024)

Get hands-on experience and solve 200+ coding exercises.

Become proficient in Python

Get all the skills to demonstrate expertise in Python programming

Gain an in-depth understanding of basic & advanced Python

Set firm foundation in Python for the rest of your career

Who Should Attend

Beginners Programmers – Those who want to Master Python Programming Skills

Python Programmers – Those who want to enhance their Python Programming Skills.

Students and Engineers – Those who are enrolling in Python as an academic course.

Professional Programmers – Those who want to switch to Python Programming.

Target Audiences

Beginners Programmers – Those who want to Master Python Programming Skills

Python Programmers – Those who want to enhance their Python Programming Skills.

Students and Engineers – Those who are enrolling in Python as an academic course.

Professional Programmers – Those who want to switch to Python Programming.

Welcome to the Python Complete Course by Studyopedia !!!

In this Video Course, learn Python and its concepts. We have covered Python Basics and Advanced concepts in this course. It consists of 26 sections, 84 lessons, and 200+ live running source codes (downloadable), including Functions, Classes and objects, Dictionary, Lists, Sets, Tuples, etc, We have also covered Modules, including Maths, Statistics, Random, etc.

Note: Python 3.12 is the current Python version and is covered in this tutorial.

Python is a powerful, interpreted, object-oriented programming language. It is used in many areas for development and is considered a perfect language for scripting. A high-level programming language developed by Guido van Rossum and first released in 1991. More than 75% of programmers considered Python a must-have Data Science skill.

***Python Features***

Open Source

High-level programming language

Multiple Programming-paradigms
(object-oriented, functional programming, imperative, etc.)

Interpreted language

Dynamically Typed

Cross-Platform

Lesser LOC (Line of codes)

***Lesson Covered ***

1. Python – Introduction

2. Install Python on Windows

3. Install Python on MAC

4. Python – Variables

5. Python – Scope of Variables

6. Python – Tokens

7. Python – Operators

8. Python – Comments

9. Python – Type Conversion

10. Python – Get User Input

11. Python – Decision-Making Statements

12. Python – break and continue statements

13. Python – Loops

14. Python – Numbers

15. Python – Strings

16. Python – Functions

17. Python – Lambda Functions

18. Python – Classes and Objects

19. Python – Tuples

20. Python – Dictionary

21. Python – Lists

22. Python – Sets

23. Python – Modules

24. Python – math module

25. Python – statistics module

26. Python – Random Module

*** Coding Examples Covered ***

200+ Source Codes and demonstrated with live running and also provided for downloading.

***Python Version***

We have covered Python 3.12 and all the examples are being implemented on PyCharm (Community Edition), a free and open-source Python IDE.

Let’s start the journey!

Hit the Enroll button!

Course Curriculum

Chapter 1: Python Introduction

Lecture 1: Python Introduction and Features

Chapter 2: Install Python on Windows 10/11

Lecture 1: Install Python on Windows

Lecture 2: Install PyCharm

Lecture 3: Setup Python Interpreter in PyCharm

Lecture 4: Run first Python Project

Chapter 3: Install Python on MAC

Lecture 1: Install Python and PyCharm on MAC

Chapter 4: Python Variables

Lecture 1: What are Variables in Python?

Lecture 2: Coding Example – Variables

Chapter 5: Python – Scope of Variables

Lecture 1: What are Scope of Variables?

Lecture 2: Local Scope

Lecture 3: Global Scope

Lecture 4: Global Keyword: Change The value of a global variable

Chapter 6: Python – Tokens

Lecture 1: What are Tokens and its types?

Lecture 2: Keywords

Lecture 3: Identifiers

Lecture 4: Literals

Chapter 7: Python – Operators

Lecture 1: What are Operators?

Lecture 2: Arithmetic Operators

Lecture 3: Assignment Operators

Lecture 4: Logical Operators

Lecture 5: Identity Operators

Lecture 6: Membership Operators

Lecture 7: Bitwise Operators

Chapter 8: Python – Comments

Lecture 1: What are comments?

Lecture 2: Single-line and Multi-line comments

Chapter 9: Python – Type Conversion

Lecture 1: What is Type Conversion in Python?

Lecture 2: 3 Coding Examples

Chapter 10: Python – Get User Input

Lecture 1: How to get user input (with example)

Chapter 11: Python – Decision Making Statements

Lecture 1: What are Decision Making Statements in Python?

Lecture 2: if statement

Lecture 3: ifelse statement

Lecture 4: ifelifelse

Chapter 12: Python- break and continue statements

Lecture 1: break statement

Lecture 2: continue statement

Chapter 13: Python – Loops

Lecture 1: What are Loops?

Lecture 2: while loop

Lecture 3: for loop

Chapter 14: Python – Numbers

Lecture 1: What are Numeric Datatypes?

Lecture 2: Types – Integer, Long, Float, Complex Datatypes

Chapter 15: Python – Strings

Lecture 1: What are strings?

Lecture 2: Create a String in Python

Lecture 3: String Literals

Lecture 4: Slicing to access substrings

Lecture 5: Negative Indexing to access substrings

Lecture 6: Accessing a Character in Python Strings

Lecture 7: Concatenate Strings

Lecture 8: 30+ Built-in String methods – Coding Examples

Chapter 16: Python – Functions

Lecture 1: What are Functions?

Lecture 2: Create and call a Function

Lecture 3: Create a Function with Parameters

Lecture 4: Function Arguments

Lecture 5: Recursion

Lecture 6: The Return Statement

Chapter 17: Python – Lambda Functions

Lecture 1: What are Lambda Functions?

Lecture 2: 5 Coding Examples

Chapter 18: Python – Classes and Objects

Lecture 1: Classes & Objects – Introduction

Lecture 2: What is a class? How to create?

Lecture 3: What is an object?

Lecture 4: EXAMPLES – Classes and Objects

Lecture 5: _init_() Function

Chapter 19: Python – Tuples

Lecture 1: What are Tuples in Python?

Lecture 2: Difference between Tuples and Lists

Lecture 3: Create a Tuple in Python?

Lecture 4: Tuples – 16 Coding Examples

Chapter 20: Python – Dictionary

Lecture 1: What are Dictionaries in Python?

Lecture 2: How to Create a Dictionary

Lecture 3: 19 Coding Examples – Dictionary

Chapter 21: Python – Lists

Lecture 1: What are Lists in Python?

Lecture 2: Difference between Tuples and Lists

Lecture 3: Create a list in Python

Lecture 4: 22 Coding Examples – Lists

Lecture 5: Join Lists

Lecture 6: Multi-Dimensional Python List

Chapter 22: Python – Sets

Lecture 1: What are Sets in Python

Lecture 2: How to create a Set

Lecture 3: Sets – 15 Coding Example

Chapter 23: Python Modules

Lecture 1: What are Python Modules?

Instructors

Studyopedia Trainings
Studyopedia Team

Rating Distribution

1 stars: 0 votes

2 stars: 2 votes

3 stars: 1 votes

4 stars: 7 votes

5 stars: 7 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!