What you will learn
☑ Getting Started,Variables,Values and Data Types, Operators and Operands, Function Calls
☑ 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
☑ Data Types, Type Conversion, Functions, Statements and Expressions
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 to become 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.
While it is easy for beginners to learn, it is widely used in many scientific areas for data exploration. This course is an introduction to the Python programming language for students without prior programming experience. We cover data types, control flow, object-oriented programming, and graphical user interface-driven applications
Master the fundamentals of writing Python scripts
Learn core Python scripting elements such as variables and flow control structures
Discover how to work with lists and sequence data
Write Python functions to facilitate code reuse
Use Python to read and write files
Make their code robust by handling errors and exceptions properly
Explore Python’s object-oriented features
Search text using regular expressions
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!
English
Language
Content
Introduction
Introduction Tutorial 1-Installing Anaconda
Tutorial 2-Python Overview(Demonstration)
Tutorial 3-Python Variables And Constants
Tutorial 4-Python Class And Objects
Tutorial 5-Python Array Implementation
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
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 nonlocal
Tutorial 17-Python Global Keywords
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 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-Python use of If,elif,else
Tutorial 38-Python Matrix Implementation
Tutorial 39-Python Regular Expressions
Tutorial 40-Python List Comprehension
Tutorial 41-Python Recursion.
Tutorial 42-Python Input, Output And Import
Tutorial 43-Python Shallow And Deep Copy
Tutorial 44-Python Lamda Function
Tutorial 45-Python Assert
Tutorial 46-Python @property.
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