The Complete Python 3 Beginners Tutorial [Full Course] | Coding Made Easy | Learn Python
This Python course is for beginners - anybody can take this course even without any prior programming experience. Every topic has been explained in detail and aided with visual diagrams in a way that is easy to understand. You can learn the course at your pace and practice the exercises provided at the end of the topics
Each section of the course is linked to the previous one in terms of utilizing what was already learned and each topic is supplied with lots of examples which will help students in their process of learning.
In the tutorials, the programming examples are demonstrated either using the Anaconda Jupyter Notebook or the Python IDLE application.
We recommend you to download the latest version (3.6) of Python from the Anaconda Distribution website covered in this course.
The course has three capstone projects with solutions; after which the student is able to gain practical insight to the course.
By the end of this course students will emerge with a solid understanding of Python language concepts and hands-on experience writing their own codes
What you'll learn
Understand the basic as well as core concepts of Python programming language
Read and write external data files using Python
Implement functions and call built-in Python functions
Debug an entire program and handle errors in Python
Implement basic Python structures such as if statements; loops; and functions
Add the Python Object-Oriented Programming (OOP) skills
Learn Python 3 from experienced professional software developers.
----------------------------TIME STAMP FOR COURSE------------------------------
Introduction to Python Course
0:00 Course Introduction
2:00 What is Python
5:33 Why Should You Learn Python
Setting up Python Environment
8:11 Installing Python on Windows
12:55 Installing Anaconda on Windows
16:15 Installing Python on Mac
19:23 Installing Anaconda on Mac
21:59 Installing Python on Linux
Language Basics
0:26:14 Python Syntax
0:29:21 Variables in Python
0:36:33 Data Types
0:42:05 Commenting in Python
Number and Maths
0:45:12 Operators in Python
0:49:07 Mathematical Operations
0:59:38 Built-In Math Functions
String Operations
1:06:48 Printing Strings
1:12:35 String Built in Functions
1:22:49 String Formatting - Part1
1:30:00 String Formatting - Part2
1:35:42 String Formatting - Part3
Control Flows
1:41:08 Conditional Statements - Part 1
1:53:04 Conditional Statements - Part 2
1:59:06 Loops Part 1
2:05:40 Loops Part 2
Working with Data Structures
2:12:34 Standard Data Structures
2:13:25 List - Part 1
2:18:59 List - Part 2
2:30:26 Tuple - Part 1
2:36:27 Tuple - Part 2
2:43:33 Dictionary - Part 1
2:48:55 Dictionary - Part 2
2:57:09 Set - Part 1
2:59:24 Set - Part 2
3:06:16 Set - Part 3
Importing Datasets
3:12:49 Importing Data Sets - CSV
3:21:29 Importing Data Sets - EXCEL
3:27:09 Importing Data Sets - PDF
Functions
3:31:19 System defined functions - Part 1
3:39:18 System defined functions - Part 2
3:48:45 User Defined Function - Part 1
3:56:06 User Defined Function - Part 2
4:02:56 User Defined Function - Part 3
Modules and Packages
4:11:28 What is Module
4:24:24 Creating Module
4:26:44 Importing Module
4:35:05 Locating Module
4:35:59 What is Package
Getting Ready for Python World
4:39:57 Python Career Road Map
Bonus Material: Exception Handling
4:43:21 Overview of Exception Handling
4:47:57 Exception Handling - Lab
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