Hands on Introduction to Programming with Python

Hands on Introduction to Programming with Python, available at $19.99, has an average rating of 4.55, with 55 lectures, 45 quizzes, based on 28 reviews, and has 6163 subscribers.

You will learn about Basic concepts of Programming Essentials of Python programming language Algorithmic line of thought Making small programs in a procedural way (not OOP) This course is ideal for individuals who are For students that prefer the hands-on way using coding exercises or For undergraduate students that need to get up and running fast with Python for their university course or For CS Teachers and Educators that want to make their own courses or For high school students that want to learn the hands-on way or For enthusiasts that want to learn Programming with Python fast and confidently It is particularly useful for For students that prefer the hands-on way using coding exercises or For undergraduate students that need to get up and running fast with Python for their university course or For CS Teachers and Educators that want to make their own courses or For high school students that want to learn the hands-on way or For enthusiasts that want to learn Programming with Python fast and confidently.

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Summary

Title: Hands on Introduction to Programming with Python

Price: $19.99

Average Rating: 4.55

Number of Lectures: 55

Number of Quizzes: 45

Number of Published Lectures: 55

Number of Published Quizzes: 45

Number of Curriculum Items: 100

Number of Published Curriculum Objects: 100

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Basic concepts of Programming
Essentials of Python programming language
Algorithmic line of thought
Making small programs in a procedural way (not OOP)

Who Should Attend

For students that prefer the hands-on way using coding exercises
For undergraduate students that need to get up and running fast with Python for their university course
For CS Teachers and Educators that want to make their own courses
For high school students that want to learn the hands-on way
For enthusiasts that want to learn Programming with Python fast and confidently

Target Audiences

For students that prefer the hands-on way using coding exercises
For undergraduate students that need to get up and running fast with Python for their university course
For CS Teachers and Educators that want to make their own courses
For high school students that want to learn the hands-on way
For enthusiasts that want to learn Programming with Python fast and confidently

This course aims to get you up and running fast and confidently on your journey to learn Python Programming. Trying to avoid bloat and fluff without reason.
It uses a hands on approach with many coding exercises along each lecture with just the right amount of theory needed to proceed. Coding exercises is a feature that Udemy offers and makes programming oriented courses much more fun and effective.
People that want to learn Python Programming or Programming Fundamentals fast and confidently will benefit greatly from this course. More specifically Teachers, Educators, High School Students, Undergraduate students will find it very helpful for their needs.
Simple english language is been used in order to not have much cognitive “weight” and not get you bored or tired.
Although Python Programming language is been used throughout of this course, all the algorithmic concepts that you will learn can be applied to other programming languages as well.
After the completion of this course you can consider yourself an Advanced Beginner Python Programmer and you can proceed on Intermediate Python courses in order to hone your skills.
A few humor lines are been thrown here and there, just for making things friendlier and funnier while teaching a technical course.

Course Curriculum

Chapter 1: Sequential Procedure (Simple Flow)

Lecture 1: What is Sequential Procedure (Simple Flow)? [Video]

Lecture 2: What is Sequential Procedure (Simple Flow)? [Text]

Lecture 3: Where our Programs are Stored? [Video]

Lecture 4: Where our Programs are Stored? [Text]

Lecture 5: What Variables are and Why we need them? [Video]

Lecture 6: What Variables are and why we need them? [ Text]

Lecture 7: What Operators are and what are needed for? [Video]

Lecture 8: What Operators are and what are needed for? [Text]

Lecture 9: Assigning value to a variable [Video]

Lecture 10: Assigning value to a variable [Text]

Lecture 11: Examples of Variable Assignments [Video]

Lecture 12: Examples of Variable Assignments [Text]

Lecture 13: What Integer Division and Remainder Operators are used for? [Video]

Lecture 14: What Integer Division and Remainder Operators are used for? [Text]

Lecture 15: Getting Input from the User [Video]

Lecture 16: Getting Input from the User [Text]

Lecture 17: Output Result [Video]

Lecture 18: Output Result [Text]

Lecture 19: The Random Python Module [Video]

Lecture 20: The Random Python Module [Text]

Chapter 2: Conditional Procedure (Flow under Conditions)

Lecture 1: Conditionals Overview [Video]

Lecture 2: Conditionals Overview [Text]

Lecture 3: Simple Conditional [Video]

Lecture 4: Simple Conditional [Text]

Lecture 5: Dilemma Conditional [Video]

Lecture 6: Dilemma Conditional [Text]

Lecture 7: Multiple Choice with Exclusivity Conditional [Video]

Lecture 8: Multiple Choice with Exclusivity Conditional [Text]

Lecture 9: Nested Conditional [Video]

Lecture 10: Nested Conditional [Text]

Lecture 11: Combinations of Types of Conditionals [Video]

Lecture 12: Combinations of Types of Conditionals [Text]

Chapter 3: Repeating Procedure (Loops in the Flow)

Lecture 1: Loops Overview [Video]

Lecture 2: Loops Overview [Text]

Lecture 3: For Loop – Intro (part 1) [Video]

Lecture 4: For Loop – Intro (part 1) [Text]

Lecture 5: For loop – The 3 Phases (part2) [Video]

Lecture 6: For loop – The 3 Phases (part2) [Text]

Lecture 7: While Loop [Video]

Lecture 8: While Loop [Text]

Lecture 9: Calculate Average using Loop [Video]

Lecture 10: Calculate Average using Loop [Text]

Lecture 11: Percentage Calculation using Loop [Video]

Lecture 12: Percentage Calculation using Loop [Text]

Lecture 13: Max – Min Calculation using Loop [Video]

Lecture 14: Max – Min Calculation using Loop [Text]

Lecture 15: Nested Loops [Video]

Lecture 16: Nested Loops [Text]

Chapter 4: Data Structures (Groups of variables)

Lecture 1: Data Structures Overview

Lecture 2: Lists – Intro (part 1)

Lecture 3: Lists – In More Depth (part2)

Instructors

Ioannis Giftakis
Web Developer and Designer

Rating Distribution

1 stars: 1 votes
2 stars: 0 votes
3 stars: 0 votes
4 stars: 9 votes
5 stars: 18 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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