Python Made Easy for Beginners
Python Made Easy for Beginners, available at $64.99, has an average rating of 4.9, with 117 lectures, based on 5 reviews, and has 27 subscribers.
You will learn about Python from Basics to Advanced Python Programming Language Python for Beginners Python from Scratch This course is ideal for individuals who are Python Beginners from any field or Python required for Software Testers or Python required for learning Selenium Automation Tool It is particularly useful for Python Beginners from any field or Python required for Software Testers or Python required for learning Selenium Automation Tool.
Enroll now: Python Made Easy for Beginners
Summary
Title: Python Made Easy for Beginners
Price: $64.99
Average Rating: 4.9
Number of Lectures: 117
Number of Published Lectures: 117
Number of Curriculum Items: 117
Number of Published Curriculum Objects: 117
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Python from Basics to Advanced
- Python Programming Language
- Python for Beginners
- Python from Scratch
Who Should Attend
- Python Beginners from any field
- Python required for Software Testers
- Python required for learning Selenium Automation Tool
Target Audiences
- Python Beginners from any field
- Python required for Software Testers
- Python required for learning Selenium Automation Tool
This Python Made Easy for Beginners course covers the below topics:
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Introduction to Python
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Downloading, Installing and Configuring Python
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Downloading, Installing and Using PyCharm IDE
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Print Statements
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Variables
-
Data Types
-
Type Casting
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Operators
-
Comments
-
Operator Precedence
-
Deleting a Variable
-
Using + for String concatenation
-
Storing Multi-line preformatted String text into a variable
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Storing a lengthy text into a variable
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Formatting Print Statements
-
Control Flow Statements
-
Select/Decision Control Statements
-
while loop
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for loop with range()
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break and continue statements
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Functions – Getting Started
-
Functions can be called multiple times
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Parameterizing Functions
-
Default Arguments in Functions
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Function with multiple parameters
-
Functions can return data
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Purpose of Functions
-
Multiple functions can be created
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Using input() inbuilt function
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max() and min() functions
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Local and Global Variables
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pass Statement
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Collections
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List
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Tuple
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Set
-
Dictionary
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List versus Tuple versus Set versus Dictionary
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Strings
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in and not in operators
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File Handling
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Getting started with Object Oriented Programming
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self in Python
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Assigning method parameters to class variables using self keyword
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Initializing Class variables using methods in Python
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__init__ method
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Static Variables, Static Methods, Instance Variables and Instance Methods
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Inheritance
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Types of Inheritance
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Polymorphism – Method Overriding
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Overloading is not supported by Python
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super()
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Private variables and Private methods
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Using Getter and Setter Methods with private variables
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Encapsulation in Python
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Abstraction in Python
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Modules
-
Packages
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Exception Handling
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Lambda Functions
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Using *args
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Using **kwargs
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Unpacking Collections or range() into individual variables
-
Complex Data Type
-
range Data Type
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Complete List of Data Types
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Generating Random Numbers
-
Escape Characters
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Using bool() function
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Short Hand if and if ..else statements
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Using iter() function with List, Tuple, Set and Dictionary
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Date and Time
-
Regular Expressions
Course Curriculum
Chapter 1: Introduction to Python
Lecture 1: Introduction to Python
Lecture 2: Downloading, Installing and Configuring Python
Lecture 3: Downloading, Installing and Using PyCharm IDE
Lecture 4: Printing in Python using Print statements
Chapter 2: Variables
Lecture 1: Variables in Python
Chapter 3: Data Types
Lecture 1: Data Types in Python
Lecture 2: Type Casting in Python
Chapter 4: Operators
Lecture 1: Operators in Python
Chapter 5: Other Topics
Lecture 1: Comments in Python
Lecture 2: Operator Precedence in Python
Lecture 3: Deleting a variable in Python
Lecture 4: Using + for String concatenation
Lecture 5: Storing Multi-line preformatted String text into a variable
Lecture 6: Storing a lengthy text into a variable
Lecture 7: Formatting Print statements in Python
Chapter 6: Control Flow Statements
Lecture 1: Control Flow Statements in Python
Lecture 2: Selection/Decision Control Statements in Python – if, else, elif
Lecture 3: while loop in Python
Lecture 4: for loop with range() in Python
Lecture 5: break and continue statements in Python – Transfer/Jump Statements
Chapter 7: Functions
Lecture 1: Functions – Getting started
Lecture 2: Function can be called multiple times
Lecture 3: Parameterizing functions
Lecture 4: Default Arguments in functions
Lecture 5: Function with multiple parameters
Lecture 6: Functions can return data
Lecture 7: Purpose of functions
Lecture 8: Multiple functions can be created
Chapter 8: Other Topics
Lecture 1: Collecting input from User using input() in-built function
Lecture 2: max() and min() in-built functions in python
Lecture 3: Local and Global Variables in Python
Lecture 4: pass statement in Python
Chapter 9: Collections
Lecture 1: Collections in Python
Lecture 2: List – Collections
Lecture 3: Tuple – Collections
Lecture 4: Set – Collections
Lecture 5: Dictionary – Collections
Lecture 6: List Versus Tuple Versus Set Versus Dictionary
Chapter 10: Strings
Lecture 1: Strings
Chapter 11: Other Topics
Lecture 1: in and not in operators
Chapter 12: File Handling
Lecture 1: File Handling
Chapter 13: Object Oriented Programming
Lecture 1: Getting started with Object Oriented Programing – Classes and Objects
Lecture 2: self in Python
Lecture 3: Assigning method parameters to class variables using self keyword
Lecture 4: Initializing Class Variables using methods in Python
Lecture 5: __init__ method in Python
Lecture 6: Static Variables, Static Methods, Instance Variables, Instance Methods
Lecture 7: Inheritance
Lecture 8: Types of Inheritance
Lecture 9: Polymorphism – Method Overriding
Lecture 10: Overloading Methods is not directly supported by Python
Lecture 11: super() in Python
Lecture 12: Using Getter and Setter Methods with private variables in Python
Lecture 13: Private Variable and Private Methods in Python
Lecture 14: Encapsulation in Python
Lecture 15: Abstraction in Python – Abstract Classes and Abstract Methods
Chapter 14: Modules
Lecture 1: Modules in Python
Chapter 15: Packages
Lecture 1: Packages in Python
Chapter 16: Exception Handling
Lecture 1: Exception Handling in Python
Chapter 17: Lambda function
Lecture 1: Lambda function in Python
Chapter 18: Other Topics
Lecture 1: Using *args in Python
Lecture 2: Using **kwargs in Python
Lecture 3: Unpacking Collections or range() into individual variables
Lecture 4: Complex Data Type in Python
Lecture 5: range Data Type in Python
Lecture 6: Complete List of Data Types in Python
Lecture 7: Generating Random numbers in Python
Lecture 8: Escape Characters in Python
Lecture 9: Using bool() function in python for evaluating values as True or False
Lecture 10: Short Hand if and if .. else Statements in Python
Lecture 11: User iter() function in Python with List, Tuple, Set and Dictionary
Lecture 12: Date and Time in Python
Lecture 13: Regular Expressions in Python
Chapter 19: Interview Questions
Lecture 1: What is Python? (Python Interview Question # 1)
Lecture 2: Is Python an Object Oriented Programming Language? (Python Interview Question #
Lecture 3: What is the command for finding Python Version installed in your machine? (Pytho
Lecture 4: How to run Python files from command line? (Python Interview Question # 4)
Lecture 5: How to write and run Python code from command line? (Python Interview Question #
Lecture 6: Is Python an interpreted programming language? (Python Interview Question # 6)
Lecture 7: How Python syntax is different from other programming languages? (Python Intervi
Lecture 8: Is Python platform independent programming language? (Python Interview Question
Instructors
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Arun Motoori
Software Testing Blogger & Trainer
Rating Distribution
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- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 1 votes
- 5 stars: 4 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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