Python Course for Beginners (2024)

In this Video Course, learn Python and its concept. We have covered Python Basics and Advanced concepts in this course. It consists of 25 sections, 83 lessons, and 200 live running source codes (downloadable), including Functions, Classes & Objects, Dictionary, Lists, Sets, Tuples, etc, We have also covered Modules, including Maths, Statistics, Random, etc.

• Python Introduction 03:08

  • 1: Course Introduction Preview 00:42
  • 2: Python Introduction & Features Preview 02:26

• Setup Python and Run first program 09:19

  • 3: Install Python 02:45
  • 4: Install PyCharm 02:11
  • 5: Setup Python Interpreter in PyCharm 01:51
  • 6: Run first Python Project on PyCharm 02:32

• Python - Variables 03:06

  • 7: What are Variables in Python? Preview 00:43
  • 8: Coding Example - Variables 02:23

• Python - Scope of Variables 07:53

  • 9: What are Scope of Variables Preview 00:35
  • 10: Local Scope 03:04
  • 11: Global Scope 01:49
  • 12: Global Keyword: Change the value of a global variable 02:25

• Python - Tokens 09:26

  • 13: What are Tokens and its types? Preview 00:14
  • 14: Keywords 01:03
  • 15: Identifiers 01:30
  • 16: Literals 06:39

• Python - Operators 16:29

  • 17: What are Operators? Preview 00:23
  • 18: Arithmetic Operators 01:40
  • 19: Assignment Operators 01:49
  • 20: Logical Operators 02:41
  • 21: Identity Operators 02:17
  • 22: Membership Operators 01:46
  • 23: Bitwise Operators 05:53

• Python - Comments 03:59

  • 24: What are Comments? 00:51
  • 25: Single and Multiline Comments 03:08

• Python - Type Conversion 04:09

  • 26: What is Type Conversion? 00:38
  • 27: Coding Examples - Type Conversion 03:31

• Python - Get User Input 03:00

  • 28: Get User Input in Python 03:00

• Python - Decision Making Statements 05:24

  • 29: What are Decision Making Statements? 00:22
  • 30: if statement 01:15
  • 31: if...else statement 01:24
  • 32: if...elif...else statement 02:23

• Python - break and continue statements 04:46

  • 33: Break statement 02:42
  • 34: continue statement 02:04

• Python - Loops 04:08

  • 35: What are loops? 00:15
  • 36: while loop 02:03
  • 37: for loop 01:50

• Python - Numbers 06:47

  • 38: What are Numeric Datatypes? 00:39
  • 39: Types - Integer, Long, Float, Complex Datatypes 06:08

• Python - Strings 41:03

  • 40: What are strings? 00:50
  • 41: Create a String in Python 00:44
  • 42: String Literals 01:25
  • 43: Slicing to access substrings 01:00
  • 44: Negative Indexing 01:12
  • 45: Accessing a Character in Python Strings 00:49
  • 46: Concatenate Strings 00:37
  • 47: 35 Built-in String methods - Coding Examples 34:26

• Python - Functions 25:15

  • 48: What are Functions? 01:10
  • 49: Create and call a Function 01:22
  • 50: Create a Function with Parameters 01:56
  • 51: Function Arguments 14:05
  • 52: Recursion Preview 04:09
  • 53: The Return Statement 02:33

• Python - Lambda Functions 05:58

  • 54: What are Lambda Functions? 00:28
  • 55: 5 Coding Examples 05:30

• Python - Classes and Objects 12:05

  • 56: Classes & Objects - Introduction Preview 00:24
  • 57: What is a Class? How to create? 01:31
  • 58: What is an Object? 00:54
  • 59: EXAMPLES - Classes and Objects 05:08
  • 60: _init_() Function 04:08

• Python - Tuples 23:47

  • 61: What are Tuples? 00:16
  • 62: Tuple vs List 00:46
  • 63: Create a Tuple in Python 01:54
  • 64: Tuples - 16 Coding Examples 20:51

• Python - Dictionary 34:58

  • 65: What are Dictionaries in Python? 00:47
  • 66: How to Create a Dictionary 04:56
  • 67: 20 Coding Examples - Dictionary 29:15

• Python - Lists 38:25

  • 68: What are Lists in Python? 00:36
  • 69: List vs Tuple 00:39
  • 70: Create a List 02:15
  • 71: 22 Coding Examples 27:45
  • 72: Join Lists 01:21
  • 73: Multidimensional Python Lists 05:49

• Python - Sets 21:23

  • 74: What are Sets in Python? 00:49
  • 75: How to Create a Set 01:17
  • 76: Sets - 15 Coding Example 19:17

• Python - Modules 02:18

  • 77: What are Python Modules? 00:31
  • 78: How to Load a module in Python? 01:47

• Python - Math Module 12:23

  • 79: What is a math module & How to Import? 00:40
  • 80: 10 Coding Examples - math module functions 11:43

• Python - Statistics Module 05:47

  • 81: What is a Statistics Module & How to import? 00:40
  • 82: 4 Coding Examples - Statistics Module Functions 05:07

• Python - Random Module 06:27

  • 83: What is a Random module and How to import? 00:42
  • 84: 4 Coding Examples - random module functions 05:45

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 as a must-have skill for Data Science.

***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. Python – Variables
4. Python – Scope of Variables
5. Python – Tokens
6. Python – Operators
7. Python – Comments
8. Python – Type Conversion
9. Python – Get User Input
10. Python – Decision-Making Statements
11. Python – break and continue statements
12. Python – Loops
13. Python – Numbers
14. Python – Strings
15. Python – Functions
16. Python – Lambda Functions
17. Python – Classes and Objects
18. Python – Tuples
19. Python – Dictionary
20. Python – Lists
21. Python – Sets
22. Python – Modules
23. Python – Math module
24. Python – Statistics module
25. 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 and all the examples are being implemented on PyCharm, which is a free and open-source Python IDE.

What you'll learn

• Be able to program in Python professionally

• 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 a firm foundation in Python for the rest of your career

Let's start the journey!

Hit the Enroll button!

• 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.

• No paid software required
• Basic knowledge of Computer usage
• Basic coding knowledge

The Average Python Developer salary in the UK is £73,089

Currently there are no Q&As for this course. Be the first to ask a question.

Certificate of completion

Digital certificate - Included

Reed Courses Certificate of Completion

Digital certificate - Included