Python 3 in 1- Basics, Advanced and Django

Python 3 in 1: Basics, Advanced and Django, available at $44.99, has an average rating of 3.75, with 128 lectures, based on 426 reviews, and has 6713 subscribers.

You will learn about Students can able to create their own desktop Apps using Python. In this course we are creating an editor using wxPython This course is ideal for individuals who are Beginners who have never programmed before. or Programmers switching languages to Python. or Intermediate Python programmers who want to level up their skills ! It is particularly useful for Beginners who have never programmed before. or Programmers switching languages to Python. or Intermediate Python programmers who want to level up their skills !.

Enroll now: Python 3 in 1: Basics, Advanced and Django

Summary

Title: Python 3 in 1: Basics, Advanced and Django

Price: $44.99

Average Rating: 3.75

Number of Lectures: 128

Number of Published Lectures: 128

Number of Curriculum Items: 128

Number of Published Curriculum Objects: 128

Original Price: $189.99

Quality Status: approved

Status: Live

What You Will Learn

Students can able to create their own desktop Apps using Python.

In this course we are creating an editor using wxPython

Who Should Attend

Beginners who have never programmed before.

Programmers switching languages to Python.

Intermediate Python programmers who want to level up their skills !

Target Audiences

Beginners who have never programmed before.

Programmers switching languages to Python.

Intermediate Python programmers who want to level up their skills !

The?Most comprehensive, yet simple?course on Python programming language in the entire Web.

Learn Python in step by step and easy way from scratch?.?Whether you have coding background or never programmed before this course will make you:

A Python programmer, who knows the basics.

A Python developer, who can build and deploy application fast.

A Python Tester, who can find and fix bugs.

A Python Analyst who can map real world problem into python coding terms

And the best part is you will learn all this while?making a Text Editor.

So what are you waiting for ?
Jump on-board and Learn Python in a way that will advance your career and increase your knowledge, all in a fun and practical way!

Course Curriculum

Chapter 1: Python Basics : Introduction

Lecture 1: Introduction to Python

Lecture 2: Lets Begin Python

Chapter 2: Python Basics : Examples of Python in Real Life

Lecture 1: Big Companies Using Python

Chapter 3: Python Basics : What is Python in a Nutshell

Lecture 1: Is Python a Scripting Language?

Chapter 4: Python Basics : Getting Started with Installation and Setup

Lecture 1: 4.1 Installation of Python

Lecture 2: 4.2 Python with Eclipse

Chapter 5: Python Basics : Running Your First Python Code

Lecture 1: 5.1 How Python Runs the Program

Chapter 6: Python Basics : General Terms

Lecture 1: 6.1 General Terms used in Python

Chapter 7: Python Basics : Programming Terms

Lecture 1: 7.1.1 Programming Terms Part 1

Lecture 2: 7.1.2 Programming Terms Part 2

Chapter 8: Python Basics : Builtin Types Number and String

Lecture 1: 8.1 Built-in Types

Lecture 2: 8.2 Number Built-in Type

Lecture 3: 8.3.1 String Built-in Type Part 1

Lecture 4: 8.3.2 String Built-in Type Part 2

Chapter 9: Python Basics : Builtin Type – List

Lecture 1: 8.4.1 List Built-in Type Part 1

Lecture 2: 8.4.2 List Built-in Type Part 2

Lecture 3: 8.4.2 List Built-in Type Part 3

Chapter 10: Python Basics : Builtin Type – Tuple

Lecture 1: 8.5.1 Tuples Bulit-in Part 1

Lecture 2: 8.5.1 Tuples Built-in Part 2

Lecture 3: 8.5.2 Tuples Built-in Part 1

Lecture 4: 8.5.2 Tuples Built-in Part 2

Chapter 11: Python Basics : Builtin Type – Dictionary

Lecture 1: 8.6.1 Dictionary Built-in Type Part 1

Lecture 2: 8.6.2 Dictionary Built-in Type Part 2

Lecture 3: 8.6.3 Dictionary Built-in Type Part 3

Chapter 12: Python Basics : Looping

Lecture 1: 9.1 Assignment Logic and Augmented Assignment

Lecture 2: 9.2.1 Condition

Lecture 3: 9.2.2 Condition Part 2

Lecture 4: 9.3.1 Looping Concepts

Lecture 5: 9.3.2 Looping Part 1

Lecture 6: 9.3.2 Looping Part 2 (Matrix)

Chapter 13: Python Basics : Functions

Lecture 1: 10.1 Function Introduction

Lecture 2: 10.2 What are Local and Global Variable

Lecture 3: 10.3 Functions : Local and Global Variables

Lecture 4: 10.4 Function Arbitrary scope nesting

Lecture 5: 10.5 Function arguments with test unit

Lecture 6: 10.6 Functions: Lambda Part 1

Lecture 7: 10.6 Functions: Lambda Part 2

Lecture 8: 11.1 File Handling

Lecture 9: 11.2 File Handling : Save User Input

Lecture 10: 11.3 File Handling : Find All Directory and Files in System

Chapter 14: Python Basics : Introduction to OOPS

Lecture 1: 12.1 Introduction to OOPS

Lecture 2: 12.2 Deep Dive Class with Point and Circle

Lecture 3: 12.3 Relation Between Two Objects

Lecture 4: 12.4 Copy and Deep Copy of Objects

Lecture 5: 12.5 Types of Variables in OOPS

Lecture 6: 12.6 Types of Methods in OOPS

Lecture 7: 12.7.1 Encapsulation Setter and Getter

Lecture 8: 12.7.2 Setting Properties on Public Variable

Lecture 9: 12.8.1 Inheritance Basics

Lecture 10: 12.8.2 Overloading and Overriding

Lecture 11: 12.8.3.1 Multiple Inheritance Part 1

Lecture 12: 12.8.3.2 Multiple Inheritance Part 2

Chapter 15: Python Basics : Exceptions

Lecture 1: 15.4 Dunder Methods

Lecture 2: 13. Modules and Packages

Lecture 3: 14.1 Basics of Exceptions try except Clause

Lecture 4: 14.2 Except else and Finally Clause

Lecture 5: 14.3 Create Your Own Exception

Chapter 16: Python Basics : Final Project – Create Your Own Notepad

Lecture 1: 15.1 Desktop App Installation

Lecture 2: 15.2.1 Desktop App Basics : Part 1

Lecture 3: 15.2.2 Desktop App Basics – Part 2

Lecture 4: All Development Codes

Lecture 5: 15.3 Create Your Own Text editor using WxPython

Chapter 17: Advanced python : Introduction to Set

Lecture 1: Introduction to Set

Lecture 2: Introduction to Set – Creating Blank Set

Lecture 3: Set Operations

Lecture 4: Map and Zip Functions

Lecture 5: Advanced Function Filter and Reduce

Chapter 18: Advanced python : Comprehensions

Lecture 1: List Comprehensions

Lecture 2: Set and Dictionary Comprehensions

Lecture 3: Introduction to Set

Chapter 19: Advanced python : Iterators and Generators

Lecture 1: Iterators Vs Generators Part 1

Lecture 2: Iterators Vs Generators Part 2

Chapter 20: Advanced Python : Decorators

Lecture 1: Decorators Basics

Lecture 2: Function as Decorators

Lecture 3: Class as Decorators

Chapter 21: Advanced Python : Context Manager

Lecture 1: Context Managers

Chapter 22: Advanced Python : Monkey Patching

Lecture 1: Monkey Patching

Lecture 2: Singleton

Instructors

Python Pros
Big Data Tools and Tech

Rating Distribution

1 stars: 30 votes

2 stars: 33 votes

3 stars: 82 votes

4 stars: 123 votes

5 stars: 158 votes

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