Python for Absolute Beginners : Learn With Simple Examples
Python for Absolute Beginners : Learn With Simple Examples, available at $54.99, has an average rating of 4.6, with 107 lectures, 2 quizzes, based on 61 reviews, and has 1635 subscribers.
You will learn about Learn how to write programs on your own with python. Understand Exceptional Handling Exclusively. Understand Concepts like Inheritance, Abstraction, Polymorphism and Encapsulation with simple examples. Learn Operators of Python. Understand Object Orient Programming with behind story. Learn Conditional Statements and Loops with real time applications in efficient way. Code and use Functions , Lambdas Decorators and Generators. Understand Strings and Regular expressions in Exclusive way. Write efficient programming with Sets, Tuples, Dictionaries, Lists and List Comprehensions. This course is ideal for individuals who are For Absolute Beginners. or For Academic Students. or Interview Preparing Aspirants. It is particularly useful for For Absolute Beginners. or For Academic Students. or Interview Preparing Aspirants.
Enroll now: Python for Absolute Beginners : Learn With Simple Examples
Summary
Title: Python for Absolute Beginners : Learn With Simple Examples
Price: $54.99
Average Rating: 4.6
Number of Lectures: 107
Number of Quizzes: 2
Number of Published Lectures: 107
Number of Published Quizzes: 2
Number of Curriculum Items: 109
Number of Published Curriculum Objects: 109
Original Price: ₹4,699
Quality Status: approved
Status: Live
What You Will Learn
- Learn how to write programs on your own with python.
- Understand Exceptional Handling Exclusively.
- Understand Concepts like Inheritance, Abstraction, Polymorphism and Encapsulation with simple examples.
- Learn Operators of Python.
- Understand Object Orient Programming with behind story.
- Learn Conditional Statements and Loops with real time applications in efficient way.
- Code and use Functions , Lambdas Decorators and Generators.
- Understand Strings and Regular expressions in Exclusive way.
- Write efficient programming with Sets, Tuples, Dictionaries, Lists and List Comprehensions.
Who Should Attend
- For Absolute Beginners.
- For Academic Students.
- Interview Preparing Aspirants.
Target Audiences
- For Absolute Beginners.
- For Academic Students.
- Interview Preparing Aspirants.
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|**** Visit my website for better offers in instructor profile. ****|
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If you want to write Python programs like a experienced person or code python like a boss or solve real-world problems or automate repetitive and complex tasks, first of all, please continue to read description part then have a look at Index how strongly designed and watch preview video content for taking subscription.
Basing on different level of learners and understanding the concepts, keeping in mind, this course designed such way that it will help for all kind of learners.
Always comparing Python with C, C++, Java and other popular programming languages.
Course is going to update continuously.
Who this course is for:
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Academic Students.
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Interview Preparation Persons.
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Competitive Exam Preparation Aspirants.
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Those who want to become a highly paid coding developer.
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Those who want to open up doors in your IT career by learning one of the world’s most popular and in-demand programming.
Important information before you enroll!
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Once enrolled, you have unlimited, 24/7, lifetime access to the course (unless you choose to drop the course during the first 30 days).
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You will have instant and free access to any updates I’ll add to the course – video lectures, additional resources, quizzes, exercises.
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You will benefit from my full support regarding any question you might have.
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Check out the promo video at the top of this page and some of the free preview lectures in the curriculum to get a taste of my teaching style and methods before making your decision
Course Curriculum
Chapter 1: Getting Start
Lecture 1: Indentation
Lecture 2: Python Comments : Single Line and Multi Line.
Chapter 2: Python Data Types
Lecture 1: All Data types
Lecture 2: Numeric Data Types : int, float, complex.
Lecture 3: Boolean Data Type
Chapter 3: Python Variables
Lecture 1: Rules for Creating Variables.
Lecture 2: Multi-word Variable Names
Lecture 3: Variable Binding.
Lecture 4: Multiple values to Multiple Variables and Single value to Multiple variables.
Lecture 5: Output Variable.
Lecture 6: Global Variable
Chapter 4: Python Operators
Lecture 1: Operator Categories
Lecture 2: Arithmetic Operators
Lecture 3: Comparison Operators
Lecture 4: Logical Operators
Lecture 5: Identity Operators
Lecture 6: Bitwise Operators
Chapter 5: Conditional Statements
Lecture 1: Recap : Relational Statements
Lecture 2: Simple if Statements
Lecture 3: if -else Statements.
Lecture 4: Multi-way Decision Making.
Lecture 5: Sequential Decision Making.
Lecture 6: Difference Between Multi-way Decision Making and Sequential Decision Making.
Lecture 7: Nested Conditional Statements ( Nested If-else Statements ).
Lecture 8: Compound Boolean Condition.
Lecture 9: Compound Boolean Condition – Priorities of NOT, AND, OR.
Lecture 10: Conditional Expressions
Chapter 6: Play with Strings.
Lecture 1: Strings Introduction.
Lecture 2: Strings Iteration.
Lecture 3: String Slicing
Lecture 4: String membership Operators
Lecture 5: String Modificaiton Methods : upper(), lower(), strip(), replace(), split()
Lecture 6: String Format Method – Placeholders.
Chapter 7: Loops
Lecture 1: Loops Introduction
Lecture 2: while loop
Lecture 3: Definite and Indefinite while loop
Lecture 4: Range function
Lecture 5: for loop
Lecture 6: for loop with strings
Lecture 7: while/ for – 'Break' Statement
Lecture 8: while/for – 'Continue' Statement
Lecture 9: while-else and for-else
Lecture 10: Program : Nested Loops : Multiplication Table Example
Lecture 11: Program : Prime numbers less than n.
Lecture 12: Program : Counting number of vowels and consonants from a sentence.
Lecture 13: Program : Printing Tree Diagram.
Chapter 8: Sets
Lecture 1: Sets Index
Lecture 2: Sets Introduction and Properties.
Lecture 3: Length of Set
Lecture 4: Set item Data types
Lecture 5: Set Object, class and Type
Lecture 6: Access Set Items
Lecture 7: Iterate Set Items
Lecture 8: Add Set Items
Lecture 9: Remove Set Items
Lecture 10: Operations on Sets
Chapter 9: Lists
Lecture 1: Lists Introduction and Memory Representation.
Lecture 2: Negative Indexing
Lecture 3: Heterogeneous Lists
Lecture 4: Nested Lists
Lecture 5: Mutable List Object
Lecture 6: Lists Traversing and Length
Lecture 7: Building Lists
Lecture 8: List Membership
Lecture 9: List Assignment and Equivalence
Chapter 10: Tuples
Lecture 1: Tuples Introduction and Properties
Lecture 2: Changing Tuple values : Indirectly
Lecture 3: Tuples without round brackets
Lecture 4: Unpacking Tuple Objects
Lecture 5: Unpacking Tuple Objects with underscore ( _ )
Lecture 6: Iterating Tuple Ojbects using 'for' Loop and 'while' Loop
Lecture 7: Joining Two or More Tuples
Lecture 8: Difference Between Lists and Tuple
Lecture 9: Zip function for generating sequence of tuples
Chapter 11: Dictionaries
Lecture 1: Dictionary : Introduction
Lecture 2: Accessing Dictionary Items
Lecture 3: Loop Through Dictionary
Lecture 4: Copy Dictionaries
Lecture 5: Nested Dictionaries
Chapter 12: Functions
Lecture 1: Functions : Introduction
Lecture 2: Passing Arguments to functions.
Lecture 3: Arbitrary Arguments (*args)
Lecture 4: Keyword Arguments
Lecture 5: Arbitrary Keyword Arguments (**args)
Lecture 6: Default Parameter Value
Lecture 7: Return Value
Instructors
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Atchyut Kumar
Azure Data Engineer and Instructor
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 6 votes
- 4 stars: 13 votes
- 5 stars: 41 votes
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