Python Demonstrations For Practice Course

Name: Python Demonstrations For Practice Course
Rating: 4.3 (1590 reviews)

This course is a depth introduction to fundamental python programming concepts by demonstrations in Python programming .

Created byHorizon Tech

Last updated 9/2020

English

What you'll learn

Demonstrations of All Basics and Essentials Concepts In Python Language
Variables, Data Types, Type Conversion, Functions, Statements and Expressions All Demonstrations
Getting Started,Values and Data Types, Operators and Operands, Function Calls
Use variables to store, retrieve and calculate information
Write scripts for general productivity tasks Read and comprehend Python code Gain knowledge in regard to general programming concepts

Course content

1 section • 46 lectures • 5h 32m total length

Tutorial 1-Installing Anaconda3:43
Tutorial 2-Python Overview(Demonstration)13:46
Tutorial 3-Python Variables And Constants3:23
Tutorial 4-Python Class And Objects(demonstration)4:22
Tutorial 5-Python Array Implementation8:50
Tutorial 6-Python Keywords And Identifiers21:38
Tutorial 7-Python Tuples12:58
Tutorial 8-Python sets13:03
Tutorial 9-Python Different Modules1:32
Tutorial 10-Python Directory And File management4:32
Tutorial 11-Python Dictionary7:33
Tutorial 12-Python Strings14:25
Explore how Python strings work, from defining with single, double, triple quotes to indexing, slicing, and immutability, and master string formatting, escaping, and common methods.
Tutorial 13-Python Data Type Conversion3:24
Explore implicit and explicit type conversion in Python, showing integer and float operations, string to int conversion, and how mixing int with string raises a TypeError.
Tutorial 14-Python Numbers13:43
Tutorial 15-Python Namespace and scope4:51
Explore Python namespace and scope, using id() to examine memory addresses and how global and local variables behave in nested functions. See how the global keyword updates values across scopes.
Tutorial 16-Python Global, Local And Nonlocal4:53
Tutorial 17-Python Global Keyword2:31
Tutorial 18-Python Iterators8:42
Tutorial 19-Python Iterations Using for3:20
Tutorial 20-Python Inheritance6:22
Explore inheritance and polymorphism in Python by building base and subclass relationships, using super constructors, and invoking shared methods like can swim and can run across bird examples.
Tutorial 21-Python Multiple Inheritance3:14
Tutorial 22-Python Function Arguments7:20
Tutorial 23-Python Functions10:43
Tutorial 24-Python break statement2:27
Tutorial 25-Python continue statement1:47
Tutorial 26-Python Errors And Exceptions6:47
Tutorial 27-Python Exceptions Try.except and finally5:20
Tutorial 28-Python User Defined Exception4:29
explore user defined exceptions in python with a voter eligibility example, raising a custom exception for ages under 18, and handling with try-except-finally blocks.
Tutorial 29--Python OOP Approach12:37
Tutorial 30-Python Nested Dictionary Implementation5:42
Tutorial 31-Python Operator Overloading5:02
Tutorial 32- Python Statements And Comments4:06
Tutorial 33-Python Pass Statement.1:10
The pass statement acts as a placeholder in Python, allowing future functionality without producing output, and the final statement prints after the for loop completes.
Tutorial 34-Python Generators5:51
Tutorial 35-Python Decorators5:30
Tutorial 36--Python While Loop16:37
Tutorial 37-Use of if .elif and else5:26
The lecture demonstrates how to use if, elif, and else blocks in Python, showing proper indentation, colon usage, and nested conditions for age-based outputs.
Tutorial 38-Python Matrix Implementation5:49
Tutorial 39-Python Regular Expressions22:14
Tutorial 40- Python List Comprehension7:45
Tutorial 41-Python Recursion1:57
Tutorial 42-Python Input, Outpt And Import8:01
Explore python input and output, using print to display strings and variables, handle type casting from input to int, and format strings with placeholders, plus importing math to compute powers.
Tutorial 43-Python Read and Write Operations7:20
Explore shallow vs deep copy in Python through a practical demonstration using the equal operator and copy module. See how references and new objects affect lists and nested data.
Tutorial 44-Python Lamda Function3:52
Tutorial 45-Python Assert3:31
Assertions are boolean checks that ensure conditions in code; when true, the program continues, when false, it raises an assertion error, demonstrated while guarding average calculation with a nonempty list.
Tutorial 46-Python @property10:11

Requirements

A computer, Access to the internet, An interest in learning Python
Only the very basic computer skills are needed

Description

Learn Python From Beginner To Advanced Level By Demonstrations

The course is created thorough, extensive, but easy to follow content which you’ll easily understand and absorb.
The course starts with the basics, including Python fundamentals, programming, and user interaction.

The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.

The topics covered in this course are:
* Beginner to Expert Python contents:

Installing Anaconda
Python Overview
Array implementation
File methods
Keywords and Identifiers
Python Tuples
Python Basics
Python Fundamentals
Data Structures
Object-Oriented Programming with Python
Functional Programming with Python
Lambdas
Decorators
Generators
Testing in Python
Debugging
Error Handling
Regular Expressions
Comprehensions
Modules
See you inside the course!

Who this course is for:

For Complete Programming Beginners
For People Who want to learn Python Fundamentals and later transition into Data Science or Web Development
For People New to Python