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: Let's 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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