Complete Python 3 Course for Beginners | Learn By Doing

Learn to code in Python. The fastest growing programming language. Develop your skill using coding exercises

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Last Updated: 2022-05-04 05:05:36 English Course Type: Self Learning

Computational Thinking
Master the fundamentals in Python
Handle and debug errors
Brainstorming by testing your abilities in Coding Exercises
Object-Oriented programming
Use dictionaries, lists to store data efficiently in code
File Handling
Improve your efficiency in code using for and while loops
Use multiple IDES
Understand how to work with modules
Learn the prerequisite skills needed to learn other Python specific branches such as Machine Learning, Web Development etc

Complete Python 3 Beginner's Course is a Python course suited for beginner's and intermediates in Python. This course contains everything you need to know to begin programming in Python. So look no further, Unlike a lot of other courses, This course has a decent amount of coding exercises and that is the best way anyone can grow by practice and not just by simply watching videos. The manner in which this course is taught assume that the learner has no previous learning experience. This course is the foundation of journey with programming with Python.

The course will cover the basics of Python such as variables, if statements, while loop etc but then it also covers more advanced topics such as Object Oriented Programming, File Handling and Handling Data using Lists and Dictionaries. So no matter what Python specific branch, you are interested in such as Machine Learning, Web and Game Development. This course will provide you with the prerequisite skills needed to successfully complete such journeys. I ensured tried to ensure that this course did not contain unnecessary classes in order to make it look long. I focused on making it concise so in order to boost completion rate.

And if you are unsure of whether your want to learn Python, you should know that Python is the fastest growing programming language. It is used by top companies all over the world such as Google, Facebook, NASA etc. The reason why Python is so well respected is that irrespective of the fact that it is very easy to learn, It can carry out many operations,

Laptop with internet connection

People who are absolute beginners in Python
People who are new to programming in general
People who are experienced in other languages but not Python
Intermediates in Python
People who need a refresher course in Python

Section 1 : Introduction 1 Lectures 00:01:00
Lecture 1 :
Welcome to Python Preview
Section 2 : Types & Variables 6 Lectures 00:13:21
Lecture 1 :
Strings
Lecture 2 :
Quote Display
Lecture 3 :
Integers & Floats
Lecture 4 :
Basic Math Operators
Lecture 5 :
Variables
Lecture 6 :
Type Function
Section 3 : Concatenation 2 Lectures 00:04:32
Lecture 1 :
String Concatenation
Lecture 2 :
Integer, Float and String Addition with Commas
Section 4 : Basic Default Function & Keywords 7 Lectures 00:17:39
Lecture 1 :
User Input & Input Prompts
Lecture 2 :
Boolean String Test
Lecture 3 :
String Format Methods
Lecture 4 :
Input Formatting
Lecture 5 :
Searching strings with the "in" keyword
Lecture 6 :
format method
Lecture 7 :
Escape Sequences
Section 5 : Functions 4 Lectures 00:08:11
Lecture 1 :
Functions Explained
Lecture 2 :
Functions Parameters and Arguments
Lecture 3 :
return keyword
Lecture 4 :
Functions with Multi-Parameters
Section 6 : Working with Modules 2 Lectures 00:05:45
Lecture 1 :
User-Defined Modules
Lecture 2 :
Built-in Modules
Section 7 : Conditionals 9 Lectures 00:19:19
Lecture 1 :
if, else or pass
Lecture 2 :
Conditional with Boolean String Tests
Lecture 3 :
Comparison Operators need to delete
Lecture 4 :
Conditionals with Comparison Operators
Lecture 5 :
String Comparison
Lecture 6 :
elif
Lecture 7 :
Casting and casting with input
Lecture 8 :
Conditionals with Logical Operators
Lecture 9 :
Nesting Conditionals
Section 8 : Errors & Troubleshooting 1 Lectures 00:03:57
Lecture 1 :
Errors & Troubleshooting
Section 9 : while Loop & Incrementing Variables 4 Lectures 00:08:43
Lecture 1 :
while True
Lecture 2 :
Incrementing and Decrementing Variables
Lecture 3 :
while Loop with Boolean string Tests
Lecture 4 :
while Loop with Boolean comparison
Section 10 : Index 2 Lectures 00:04:21
Lecture 1 :
String Index
Lecture 2 :
Negative Index
Section 11 : Index Slicing 2 Lectures 00:06:26
Lecture 1 :
Access substrings
Lecture 2 :
Access by step size
Section 12 : Returning String Information 3 Lectures 00:09:56
Lecture 1 :
length
Lecture 2 :
find
Lecture 3 :
count
Section 13 : Lists 10 Lectures 00:09:59
Lecture 1 :
Creating and Accessing list
Lecture 2 :
Appending to a list
Lecture 3 :
Replacing items in a list
Lecture 4 :
Inserting new items into a list
Lecture 5 :
del keyword
Lecture 6 :
pop
Lecture 7 :
remove
Lecture 8 :
empty list returns False
Lecture 9 :
extend
Lecture 10 :
reverse
Section 14 : Dictionaries 4 Lectures 00:09:01
Lecture 1 :
Dictionaries Basics
Lecture 2 :
Dictionaries Basics 2
Lecture 3 :
del and len
Lecture 4 :
Casting to list
Section 15 : For Loop 10 Lectures 00:27:26
Lecture 1 :
Iterating strings
Lecture 2 :
Iterating substrings
Lecture 3 :
Iterating Lists
Lecture 4 :
Iterating Dictionaries
Lecture 5 :
Using comparison operators while iterating Lists
Lecture 6 :
Range stop
Lecture 7 :
Range start, stop
Lecture 8 :
Range start, stop, step
Lecture 9 :
.sort() and sorted keyword
Lecture 10 :
split and join
Section 16 : File Handling 3 Lectures 00:09:53
Lecture 1 :
Reading Files in Python
Lecture 2 :
Write and Append
Lecture 3 :
With
Section 17 : Object-Oriented Programming 9 Lectures 00:26:02
Lecture 1 :
What is Object-oriented programming
Lecture 2 :
Declaring a Class and Creating an Instance
Lecture 3 :
Methods & Initialization Method
Lecture 4 :
Adding Parameters to our Constructor
Lecture 5 :
Combining Classes
Lecture 6 :
dunderscore str method
Lecture 7 :
Class and Instance Variables
Lecture 8 :
Inheritance : Single and Multilevel
Lecture 9 :
Inheritance : Calling Parent's Method

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