Python Demonstrations For Practice Course
Python Demonstrations For Practice Course, available at $39.99, has an average rating of 4.44, with 46 lectures, based on 1321 reviews, and has 195314 subscribers.
You will learn about 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 This course is ideal for individuals who are For Complete Programming Beginners or For People Who want to learn Python Fundamentals and later transition into Data Science or Web Development or For People New to Python It is particularly useful for For Complete Programming Beginners or For People Who want to learn Python Fundamentals and later transition into Data Science or Web Development or For People New to Python.
Enroll now: Python Demonstrations For Practice Course
Summary
Title: Python Demonstrations For Practice Course
Price: $39.99
Average Rating: 4.44
Number of Lectures: 46
Number of Published Lectures: 46
Number of Curriculum Items: 46
Number of Published Curriculum Objects: 46
Original Price: $24.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- 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
Target Audiences
- 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
Learn Python From Beginner To Advanced Level By Demonstrations
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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.
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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
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See you inside the course!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Tutorial 1-Installing Anaconda
Lecture 2: Tutorial 2-Python Overview(Demonstration)
Lecture 3: Tutorial 3-Python Variables And Constants
Lecture 4: Tutorial 4-Python Class And Objects(demonstration)
Lecture 5: Tutorial 5-Python Array Implementation
Lecture 6: Tutorial 6-Python Keywords And Identifiers
Lecture 7: Tutorial 7-Python Tuples
Lecture 8: Tutorial 8-Python sets
Lecture 9: Tutorial 9-Python Different Modules
Lecture 10: Tutorial 10-Python Directory And File management
Lecture 11: Tutorial 11-Python Dictionary
Lecture 12: Tutorial 12-Python Strings
Lecture 13: Tutorial 13-Python Data Type Conversion
Lecture 14: Tutorial 14-Python Numbers
Lecture 15: Tutorial 15-Python Namespace and scope
Lecture 16: Tutorial 16-Python Global, Local And Nonlocal
Lecture 17: Tutorial 17-Python Global Keyword
Lecture 18: Tutorial 18-Python Iterators
Lecture 19: Tutorial 19-Python Iterations Using for
Lecture 20: Tutorial 20-Python Inheritance
Lecture 21: Tutorial 21-Python Multiple Inheritance
Lecture 22: Tutorial 22-Python Function Arguments
Lecture 23: Tutorial 23-Python Functions
Lecture 24: Tutorial 24-Python break statement
Lecture 25: Tutorial 25-Python continue statement
Lecture 26: Tutorial 26-Python Errors And Exceptions
Lecture 27: Tutorial 27-Python Exceptions Try.except and finally
Lecture 28: Tutorial 28-Python User Defined Exception
Lecture 29: Tutorial 29–Python OOP Approach
Lecture 30: Tutorial 30-Python Nested Dictionary Implementation
Lecture 31: Tutorial 31-Python Operator Overloading
Lecture 32: Tutorial 32- Python Statements And Comments
Lecture 33: Tutorial 33-Python Pass Statement.
Lecture 34: Tutorial 34-Python Generators
Lecture 35: Tutorial 35-Python Decorators
Lecture 36: Tutorial 36–Python While Loop
Lecture 37: Tutorial 37-Use of if .elif and else
Lecture 38: Tutorial 38-Python Matrix Implementation
Lecture 39: Tutorial 39-Python Regular Expressions
Lecture 40: Tutorial 40- Python List Comprehension
Lecture 41: Tutorial 41-Python Recursion
Lecture 42: Tutorial 42-Python Input, Outpt And Import
Lecture 43: Tutorial 43-Python Read and Write Operations
Lecture 44: Tutorial 44-Python Lamda Function
Lecture 45: Tutorial 45-Python Assert
Lecture 46: Tutorial 46-Python @property
Instructors
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Horizon Tech
Experienced Programming Instructors And Developers
Rating Distribution
- 1 stars: 34 votes
- 2 stars: 42 votes
- 3 stars: 204 votes
- 4 stars: 460 votes
- 5 stars: 581 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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