Python Logical Programs and Data Structures for beginners

Python Logical Programs and Data Structures for beginners, available at $69.99, has an average rating of 4.75, with 124 lectures, based on 58 reviews, and has 824 subscribers.

You will learn about Programs using Numbers Programs using Strings Programs using Arrays Programs using Recursion Programs on Patterns Concepts of Time Complexity Programs on Sorting Programs on Searching Implement Data Structures Create LinkedLists Create Stack Work with Queues Implement Trees Work on problems using Data Structures And more in easy steps This course is ideal for individuals who are College Students Attending Interviews or Students who want to improve logic or Students who want to overcome fear of programming It is particularly useful for College Students Attending Interviews or Students who want to improve logic or Students who want to overcome fear of programming.

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Summary

Title: Python Logical Programs and Data Structures for beginners

Price: $69.99

Average Rating: 4.75

Number of Lectures: 124

Number of Published Lectures: 124

Number of Curriculum Items: 134

Number of Published Curriculum Objects: 134

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Programs using Numbers

Programs using Strings

Programs using Arrays

Programs using Recursion

Programs on Patterns

Concepts of Time Complexity

Programs on Sorting

Programs on Searching

Implement Data Structures

Create LinkedLists

Create Stack

Work with Queues

Implement Trees

Work on problems using Data Structures

And more in easy steps

Who Should Attend

College Students Attending Interviews

Students who want to improve logic

Students who want to overcome fear of programming

Target Audiences

College Students Attending Interviews

Students who want to improve logic

Students who want to overcome fear of programming

All source code is available for download

Responsive Instructor – All questions answered within 24 hours

Professional video and audio recordings (check the free previews)

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Are you a College Student withPython background who is  interested in improving your programming skills or overcome the fear of coding , this course is for you.This course is for experienced developers as well.

You will start working on simple programs and move using numeric types

Print Digits in a number

Sum of Digits in a number

Check if a number is palindrome or not

Convert integer to binary and visa versa

Check if a given number is Special and Perfect Number

and More

Work with Strings:

Reverse a String in different ways

Count the words in given text

Find words,Remove Vowels

Find Duplicates,Replace Next Character

and More

Understand Recursion and write programs using it

Write programs using Arrays and Matrices

Sum of positive and negative numbers in a array

Find min and max element in a array

Reverse elements in a array

Check if a given matrix is a sparse matrix

Do Matrix Transpose

Swap Rows and Columns

Work with patterns:

Print Right Triangle

Print Inverted Right Triangle

Mirrored Right Triangle

Understand Time and Space Complexity

Implement Bubble Sort and enhance it

Implement Selection Sort

Implement Linear Search

Implement Binary Search using recursive and non recursive ways

Data Structures:

What are Data Structures

Different Types of Data Structures

Linked Lists:

Create a LinkedList

Insert at the end

Insert at the beginning

Insert in the middle

Delete at different positions

Traverse

Find Nth Node

Check if list has a loop

Reverse a List

Work with Double LinkedList

Stacks:

Create a stack using an array

Create a stack using a List

Push,Pop,Peek

Reverse a String using a stack

Check if symbols are balanced

Queues:

Create a Queue using an Array

Create a Queue using a List

enQueue, deQueue

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: How to make the best of this course

Lecture 3: Download Projects

Chapter 2: Numbers

Lecture 1: Even or Odd

Lecture 2: Leap Year Checker

Lecture 3: Credit Card Issuer

Lecture 4: Print digits in a number

Lecture 5: Print number using for loop

Lecture 6: Sum of digits in a number

Lecture 7: Sum of prime digits

Lecture 8: Count the digits in a number

Lecture 9: Check for Duck Number

Lecture 10: Duck number in single line

Lecture 11: Reverse a number

Lecture 12: Reverse a number – Single Line

Lecture 13: Palindrome or not

Lecture 14: Covert integer to binary

Lecture 15: Integer to Binary 2nd way

Lecture 16: Fibonacci Series

Lecture 17: Recursion Logic

Lecture 18: Fibonacci Series using recursion

Lecture 19: Niven Number

Lecture 20: Special Number

Lecture 21: Print Prime Numbers

Lecture 22: Perfect Number Check

Chapter 3: Strings

Lecture 1: Reverse a String

Lecture 2: Remove Vowels

Lecture 3: Add Duplicates

Lecture 4: Count chars and words

Lecture 5: Find and Remove Character

Lecture 6: Print Even Words

Lecture 7: Print Next Character

Lecture 8: Check Order

Chapter 4: Recursion

Lecture 1: Introduction

Lecture 2: Factorial

Lecture 3: Sum of numbers till N

Lecture 4: Power

Chapter 5: Arrays and Matrices

Lecture 1: Sum of even numbers

Lecture 2: Sum of Positive and Negative

Lecture 3: Reverse elements in a array

Lecture 4: Mini Peaks

Lecture 5: Min and Max in a array

Lecture 6: Print last M elements

Lecture 7: Number of occurances

Lecture 8: Delete frist occurance

Lecture 9: Create and print matrix

Lecture 10: Matrix Addition

Lecture 11: Print diagonal elements

Lecture 12: Sparse Matrix

Lecture 13: Swap Rows

Lecture 14: Matrix Transpose

Lecture 15: Symmetric or not

Lecture 16: Swap Columns

Chapter 6: Patterns

Lecture 1: Right Triangle

Lecture 2: Right Triangle – Two Variations

Lecture 3: Inverted Right Triangle

Lecture 4: Inverted Right Triangle Pattern 2

Lecture 5: Mirrored Right Triangle

Lecture 6: Pyramid

Lecture 7: Downward Pyramid

Lecture 8: Right Pyramid

Lecture 9: Sandglass

Chapter 7: Algorithm Complexity

Lecture 1: Algorithm

Lecture 2: Time Complexity

Lecture 3: Constant Time Complexity

Lecture 4: Logarithmic Time Complexity

Lecture 5: Linear Time Complexity

Lecture 6: Quadratic Time Complexity

Lecture 7: Exponential Time Complexity

Chapter 8: Sorting

Lecture 1: Bubble Sort Introduction

Lecture 2: Implement Bubble Sort

Lecture 3: Enhancement 1

Lecture 4: Enhancement 1 Implementation

Lecture 5: Enhancement 2

Lecture 6: Enhancement 2 Implementation

Lecture 7: Selection Sort

Lecture 8: Insertion Sort

Lecture 9: Insertion Sort Implementation

Chapter 9: Searching

Lecture 1: Linear Search

Lecture 2: Linear Search Implementation

Lecture 3: Binary Search

Instructors

Bharath Thippireddy
IT Architect and Best Selling Instructor- 700000+ students

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 2 votes

4 stars: 20 votes

5 stars: 35 votes

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