How to Think like a Programmer with Python

How to Think like a Programmer with Python, available at $59.99, has an average rating of 4.7, with 148 lectures, based on 97 reviews, and has 769 subscribers.

You will learn about Analyze, design, and solve real world problems in Python Develop problem solving skills that will help you to solve programming problems with less effort Understand basic procedural programming skills Understand basic Object Orientation Skills This course is ideal for individuals who are If you feel that Programming is Difficult then this course is designed for you. or This course is designed for newbies who are at University level or College level and want to improve their programming skills or If you have not learned any programming before, but it is a mandatory part of your university or college degree then you are at right place! or This course is useful for you even if you are a secondary/high school student or This course is also helpful for instructors who want to teach programming fundamentals first time in their life. It is particularly useful for If you feel that Programming is Difficult then this course is designed for you. or This course is designed for newbies who are at University level or College level and want to improve their programming skills or If you have not learned any programming before, but it is a mandatory part of your university or college degree then you are at right place! or This course is useful for you even if you are a secondary/high school student or This course is also helpful for instructors who want to teach programming fundamentals first time in their life.

Enroll now: How to Think like a Programmer with Python

Summary

Title: How to Think like a Programmer with Python

Price: $59.99

Average Rating: 4.7

Number of Lectures: 148

Number of Published Lectures: 148

Number of Curriculum Items: 148

Number of Published Curriculum Objects: 148

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Analyze, design, and solve real world problems in Python

Develop problem solving skills that will help you to solve programming problems with less effort

Understand basic procedural programming skills

Understand basic Object Orientation Skills

Who Should Attend

If you feel that Programming is Difficult then this course is designed for you.

This course is designed for newbies who are at University level or College level and want to improve their programming skills

If you have not learned any programming before, but it is a mandatory part of your university or college degree then you are at right place!

This course is useful for you even if you are a secondary/high school student

This course is also helpful for instructors who want to teach programming fundamentals first time in their life.

Target Audiences

If you feel that Programming is Difficult then this course is designed for you.

This course is designed for newbies who are at University level or College level and want to improve their programming skills

If you have not learned any programming before, but it is a mandatory part of your university or college degree then you are at right place!

This course is useful for you even if you are a secondary/high school student

This course is also helpful for instructors who want to teach programming fundamentals first time in their life.

Target Audience:

I have designed this course for learners who fall under following categories;

New university or college students who need to qualify in a programming language as part of their degree requirements.

Individuals who have never learned any programming language before and find it daunting (“the language of Aliens”).

Those who struggle with programming and find it challenging (“it makes your eyes rainy at nights”).

Students who have taken online courses previously but found them too basic or lacking in sufficient explanation and supplementary material.

Technology enthusiasts eager to explore programming languages and understand their applications.

If you identify with any of these categories, you’ve come to the right course!

If you fall under any category above then then you have clicked the right course!!!

My Approach of Teaching

1. Learn to understand basic programming problems by breaking them down into clear steps (input/processing/output/iterations, etc.).

2. Master the conversion of these steps into algorithms and flowcharts.

3. Translate these steps into Python instructions.

   Easy and step by step explanation. Please see my preview lectures to judge the “Quality”

                                                                                                             PLUS

You can query about any problem related to topics covered in the course.

Prerequisite: There is no prerequisite of this course. Anyone who can use computer learn programming

Course Curriculum

Chapter 1: Start Up

Lecture 1: Introduction to Course

Lecture 2: Introduction to Programming

Lecture 3: Introduction to Python

Lecture 4: Installation of Python on Windows

Chapter 2: Sequence

Lecture 1: Introduction to Algorithms

Lecture 2: Variables or Memory Units

Lecture 3: Types of Data

Lecture 4: Variables in Python

Lecture 5: Rules for Writing Variable Names

Lecture 6: Introduction to Expressions

Lecture 7: Assignment Statement

Lecture 8: Arithmetic Operators and their Precedence

Lecture 9: Arithmetic Operators and their Associativity

Lecture 10: Updating a Value in Variables

Lecture 11: Basic Math Functions

Lecture 12: Type Conversions

Lecture 13: Taking input from user

Lecture 14: Displaying things to user

Lecture 15: Comments

Lecture 16: Introduction to Pseudocode

Lecture 17: Introduction to Flowcharts

Lecture 18: Flowgorithm (A Software)

Lecture 19: Calculate the area of a triangle

Lecture 20: Swap the values in two variables

Lecture 21: Find the remainder and quotient

Lecture 22: Exercises: Sequence

Chapter 3: Selection

Lecture 1: Introduction to Control Structures

Lecture 2: Relational or Comparision Operators

Lecture 3: Simple If statement

Lecture 4: More Examples of Simple If

Lecture 5: If-Else (with Even-Odd Example)

Lecture 6: Bonus Calculator

Lecture 7: Multiple If-Else (elif)

Lecture 8: Student Grade Calculator

Lecture 9: Weekday Name

Lecture 10: Arithmetic Calculator

Lecture 11: Compound Condition

Lecture 12: Find Greatest Number

Lecture 13: Check Valid Age

Lecture 14: Introduction to Nested If

Lecture 15: Leap Year Example

Lecture 16: Find Smallest Number (using Nested If)

Lecture 17: Exercises: Selection

Chapter 4: Iterations

Lecture 1: Introduction to Iterations (Loops)

Lecture 2: For Loop Basics (Part One)

Lecture 3: For Loop Basics (Part Two)

Lecture 4: Print Squares

Lecture 5: Introduction to PyCharm (IDE)

Lecture 6: Print a Pretty Table

Lecture 7: Find Factorial of a Number

Lecture 8: Print Series Horizontally

Lecture 9: Sum of First N Numbers

Lecture 10: Break and Continue

Lecture 11: Find a Prime Number (Using Break)

Lecture 12: Debugging

Lecture 13: Find a Prime Number (Improved)

Lecture 14: Show Specific Numbers

Lecture 15: While Loop

Lecture 16: Looping till Positive Numbers

Lecture 17: Enter Numbers in Valid Range (Solution # 1)

Lecture 18: Enter Numbers in Valid Range (Solution # 2)

Lecture 19: Student Management System

Lecture 20: Random Numbers

Lecture 21: Number Guessing Game

Lecture 22: Nested Loops

Lecture 23: Display Pattern of Numbers

Lecture 24: Display Inverted Pattern of Numbers

Lecture 25: Find First N Prime Numbers

Lecture 26: Exercises: Iterations

Chapter 5: Data Structures

Lecture 1: Introduction to Data Structures

Lecture 2: Basics of List (Part I)

Lecture 3: Basics of List (Part II)

Lecture 4: Basics of List (Part III)

Lecture 5: Collecting Integers Together

Lecture 6: Counting and Averaging Integers

Lecture 7: Find Maximum Number from List

Lecture 8: Calculate Total Days

Lecture 9: Student Management System (Revisited)

Lecture 10: Using Lists as Stacks

Lecture 11: Using Lists as Queues

Lecture 12: Linear Search

Lecture 13: Binary Search

Lecture 14: Bubble Sort

Lecture 15: Two Dimensional List

Lecture 16: List Comprehensions

Lecture 17: Loading and Traversing 2D List

Lecture 18: Loading and Traversing 2D List (Version II)

Lecture 19: Matrix Addition

Lecture 20: Matrix Multiplication

Lecture 21: Tuples

Lecture 22: Dictionaries

Lecture 23: Useful Methods in Dictionaries

Lecture 24: Student Management System (using Dictionaries)

Lecture 25: String Basics (New Format Function)

Lecture 26: String Basics (Part II)

Instructors

Tahir Abbas
Lecturer/Software Engineer

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 5 votes

4 stars: 29 votes

5 stars: 63 votes

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