The Complete Python Course With 200+ Examples

Learn Python Programming with 200+ live coding examples. A Practical Approach to learn Python. Become a Python Expert.

What you'll learn

Be able to program in Python professionally

Get hands-on experience and solve 300+ 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

Requirements

No paid software required

Basic knowledge of Computer usage

Description

Welcome to Python Course by Studyopedia !!!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 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 SourceHigh-level programming languageMultiple Programming-paradigms(object-oriented, functional programming, imperative, etc.)Interpreted languageDynamically TypedCross-PlatformLesser LOC (Line of codes)***Lesson Covered ***1. Python – Introduction2. Install Python on Windows3. Python – Variables4. Python – Scope of Variables5. Python – Tokens6. Python – Operators7. Python – Comments8. Python – Type Conversion9. Python – Get User Input10. Python – Decision-Making Statements11. Python – break and continue statements12. Python – Loops13. Python – Numbers14. Python – Strings15. Python – Functions16. Python – Lambda Functions17. Python – Classes and Objects18. Python – Tuples19. Python – Dictionary20. Python – Lists21. Python – Sets22. Python – Modules23. Python – math module24. Python – statistics module25. 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.Let's start the journey!Hit the Enroll button!

Overview

Section 1: Python Introduction

Lecture 1 Python Introduction and Features

Section 2: Setup Python

Lecture 2 Install Python on Windows

Lecture 3 Install PyCharm

Lecture 4 Setup Python Interpreter in PyCharm

Lecture 5 Run first Python Project

Section 3: Python Variables

Lecture 6 What are Variables in Python?

Lecture 7 Coding Example - Variables

Section 4: Python - Scope of Variables

Lecture 8 What are Scope of Variables?

Lecture 9 Local Scope

Lecture 10 Global Scope

Lecture 11 Global Keyword: Change The value of a global variable

Section 5: Python - Tokens

Lecture 12 What are Tokens and its types?

Lecture 13 Keywords

Lecture 14 Identifiers

Lecture 15 Literals

Section 6: Python - Operators

Lecture 16 What are Operators?

Lecture 17 Arithmetic Operators

Lecture 18 Assignment Operators

Lecture 19 Logical Operators

Lecture 20 Identity Operators

Lecture 21 Membership Operators

Lecture 22 Bitwise Operators

Section 7: Python - Comments

Lecture 23 What are comments?

Lecture 24 Single-line and Multi-line comments

Section 8: Python - Type Conversion

Lecture 25 What is Type Conversion in Python?

Lecture 26 3 Coding Examples

Section 9: Python - Get User Input

Lecture 27 How to get user input (with example)

Section 10: Python - Decision Making Statements

Lecture 28 What are Decision Making Statements in Python?

Lecture 29 if statement

Lecture 30 if…else statement

Lecture 31 if…elif…else

Section 11: Python- break and continue statements

Lecture 32 break statement

Lecture 33 continue statement

Section 12: Python - Loops

Lecture 34 What are Loops?

Lecture 35 while loop

Lecture 36 for loop

Section 13: Python - Numbers

Lecture 37 What are Numeric Datatypes?

Lecture 38 Types - Integer, Long, Float, Complex Datatypes

Section 14: Python - Strings

Lecture 39 What are strings?

Lecture 40 Create a String in Python

Lecture 41 String Literals

Lecture 42 Slicing to access substrings

Lecture 43 Negative Indexing to access substrings

Lecture 44 Accessing a Character in Python Strings

Lecture 45 Concatenate Strings

Lecture 46 30+ Built-in String methods - Coding Examples

Section 15: Python - Functions

Lecture 47 What are Functions?

Lecture 48 Create and call a Function

Lecture 49 Create a Function with Parameters

Lecture 50 Function Arguments

Lecture 51 Recursion

Lecture 52 The Return Statement

Section 16: Python - Lambda Functions

Lecture 53 What are Lambda Functions?

Lecture 54 5 Coding Examples

Section 17: Python - Classes and Objects

Lecture 55 Classes & Objects - Introduction

Lecture 56 What is a class? How to create?

Lecture 57 What is an object?

Lecture 58 EXAMPLES - Classes and Objects

Lecture 59 _init_() Function

Section 18: Python - Tuples

Lecture 60 What are Tuples in Python?

Lecture 61 Difference between Tuples and Lists

Lecture 62 Create a Tuple in Python?

Lecture 63 Tuples - 16 Coding Examples

Section 19: Python - Dictionary

Lecture 64 What are Dictionaries in Python?

Lecture 65 How to Create a Dictionary

Lecture 66 19 Coding Examples - Dictionary

Section 20: Python - Lists

Lecture 67 What are Lists in Python?

Lecture 68 Difference between Tuples and Lists

Lecture 69 Create a list in Python

Lecture 70 22 Coding Examples - Lists

Lecture 71 Join Lists

Lecture 72 Multi-Dimensional Python List

Section 21: Python - Sets

Lecture 73 What are Sets in Python

Lecture 74 How to create a Set

Lecture 75 Sets - 15 Coding Example

Section 22: Python Modules

Lecture 76 What are Python Modules?

Lecture 77 How to Load a module in Python?

Section 23: Python - math module

Lecture 78 What is a math module & How to Import?

Lecture 79 10 Coding Examples - math module functions

Section 24: Python - statistics module

Lecture 80 What is a statistics module & How to Import?

Lecture 81 4 Coding Examples - statistics module functions

Section 25: Python - random module

Lecture 82 What is a Random module and How to import?

Lecture 83 4 Coding Examples - random module functions

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.