
Python Complete Course For Python Beginners
Python Complete Course For Python Beginners.Learn Python From Beginner To Advanced Level
Language: english
Note: 4.2/5 (2,705 notes) 230,585 students
Instructor(s): Horizon Tech
Last update: 2020-10-03
What you’ll learn
- Go from Beginner to Advanced in Python Programming by learning all of the basics to Object Orientated Programming.
- Write scripts for general productivity tasks Read and comprehend Python code Gain knowledge in regard to general programming concepts
- Use variables to store, retrieve and calculate information
- Utilize core programming tools such as functions and loops
Requirements
- Only the very basic computer skills are needed
- A computer, Access to the internet, An interest in learning Python
Description
Learn Python From Beginner To Advanced Level
I’ve 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:
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 New to Python
- For People Who want to learn Python Fundamentals and later transition into Data Science or Web Development
Course content
- Python Basics To Advanced
- Introduction Tutorial 1-PYTHON OVERVIEW
- Tutorial 1-Installing Anaconda
- Tutorial 2- Python Variables And Constants
- Tutorial 3- Python Class And Objects
- Tutorial 4- Python Array Implementation
- Tutorial 5-Python File Methods
- Tutorial 6-Python Keywords And Identifiers
- Tutorial 7 -Python Tuples
- Tutorial 8 -Python Sets
- Tutorial 9-Python Different Modules
- Tutorial 10-Python Directory And File Management System
- Tutorial 11-python dictionary
- Tutorial 12- Python Strings
- Tutorial 13-Python Data Type Conversion
- Tutorial 14 -Python Numbers
- Tutorial 15-Python Namespace And Scope
- Tutorial 16 -Python Global,Local And Nonlocal variables
- Tutorial 17-Python Global Keyword
- Tutorial 18-Python Iterators
- Tutorial 19-Python Iterations Using for
- Tutorial 20-Python Inheritance
- Tutorial 21-Python Multiple Inheritance
- Tutorial 22-Python Function Arguments
- Tutorial 23-Python Functions
- Tutorial 24-Python break statement
- Tutorial 25-Python continue statement
- Tutorial 26-Python Errors And Exceptions
- Tutorial 27-Python Exceptions Try.except and finally
- Tutorial 28-Python User Defined Exception
- Tutorial 29–Python OOP Approach
- Tutorial 30-Python Nested Dictionary Implementation
- Tutorial 31-Python Operator Overloading
- Tutorial 32- Python Statements And Comments
- Tutorial 33-Python Pass Statement.
- Tutorial 34-Python Generators
- Tutorial 35-Python Decorators
- Tutorial 36–Python While Loop
- Tutorial 37-Use of if .elif and else
- Tutorial 38-Python Matrix Implementation
- Tutorial 39-Python Regular Expressions
- Tutorial 40- Python List Comprehension
- Tutorial 41-Python Recursion
- Tutorial 42-Python Input, Outpt And Import
- Tutorial 43-Python Read and Write Operations
- Tutorial 44-Python Different Looping Techniques
- Tutorial 45-Python Shallow Copy And Deep Copy
- Tutorial 46-python lamda functions
- Tutorial 47-PYTHON ASSERT
- Tutorial 48- Python @Property
- Tutorial 49-Python Closure
- Bonus Lecture
Time remaining or 850 enrolls left
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