Computational Thinking In Python

Computational Thinking In Python, available at $39.99, has an average rating of 4.1, with 49 lectures, based on 37 reviews, and has 1042 subscribers.

You will learn about Students will become fluent in APPLYING the core concepts: loops, flow control and functions Students will be more efficient and confident with solving difficult problems Students will become fluent in various Python data types: Strings, Lists and Dictionaries Students will learn how to factorise numbers and discover prime numbers Students will optimise programs for lower processing time Students will write functions to generate images/art in the IDLE text interfaces Students will learn how LOGO / Turtle works and generates images Students will write functions to generate polygons of various shapes and dimensions Students will write fruitful functions that use random numbers to generate realistic graphical backdrops: Stars and Clouds Students will perform text analysis and write programs that check syntax Students will learn to load text files into programs and rank all words in the text file by popularity Students learn about recursion from mathematical and graphical examples Students use recursion to generate spirals similar to those that occur in nature Students user recursion to generate Koch fractals and Koch Snowflakes This course is ideal for individuals who are Everyone who knows any programming and loves puzzles and problem solving or Beginner programmers looking get more creative and tackle open ended problems or High School Students, taking on their second programming course or Computer professionals looking to get on Python in a real fun way or Teachers / Tutors looking to find an ideal learning sequence to teach Python programming It is particularly useful for Everyone who knows any programming and loves puzzles and problem solving or Beginner programmers looking get more creative and tackle open ended problems or High School Students, taking on their second programming course or Computer professionals looking to get on Python in a real fun way or Teachers / Tutors looking to find an ideal learning sequence to teach Python programming.

Enroll now: Computational Thinking In Python

Summary

Title: Computational Thinking In Python

Price: $39.99

Average Rating: 4.1

Number of Lectures: 49

Number of Published Lectures: 49

Number of Curriculum Items: 49

Number of Published Curriculum Objects: 49

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Students will become fluent in APPLYING the core concepts: loops, flow control and functions
Students will be more efficient and confident with solving difficult problems
Students will become fluent in various Python data types: Strings, Lists and Dictionaries
Students will learn how to factorise numbers and discover prime numbers
Students will optimise programs for lower processing time
Students will write functions to generate images/art in the IDLE text interfaces
Students will learn how LOGO / Turtle works and generates images
Students will write functions to generate polygons of various shapes and dimensions
Students will write fruitful functions that use random numbers to generate realistic graphical backdrops: Stars and Clouds
Students will perform text analysis and write programs that check syntax
Students will learn to load text files into programs and rank all words in the text file by popularity
Students learn about recursion from mathematical and graphical examples
Students use recursion to generate spirals similar to those that occur in nature
Students user recursion to generate Koch fractals and Koch Snowflakes

Who Should Attend

Everyone who knows any programming and loves puzzles and problem solving
Beginner programmers looking get more creative and tackle open ended problems
High School Students, taking on their second programming course
Computer professionals looking to get on Python in a real fun way
Teachers / Tutors looking to find an ideal learning sequence to teach Python programming

Target Audiences

Everyone who knows any programming and loves puzzles and problem solving
Beginner programmers looking get more creative and tackle open ended problems
High School Students, taking on their second programming course
Computer professionals looking to get on Python in a real fun way
Teachers / Tutors looking to find an ideal learning sequence to teach Python programming

What is Python and why is it important?

Python is an interpreted text based general purpose programming language, which has a wonderfully simplified syntax, dynamic typing and an awesome open source community constantly creating more and more amazing libraries and modules. This makes python an awesome tool for someone just getting into programming as well as someone with serious ambitions in fields like data analysis web development or the Internet of Things. Python has become a staple in data science, allowing data analysts and other professionals to use the language to conduct complex statistical calculations and problems.

What is special about this course?

Quite simply this is the ultimate second programming course for the everyman!. The approach taken demonstrates some theoretical concepts and then asks the student to solve an open ended problem. Much like lifting heavy weights tends to make your muscles bigger, solving hard problems improves your thinking!! Perhaps more importantly these types of problems prompt creativity and create original solutions. Completing this course with an understanding of multiple solutions for each problem will endow the student with a conceptual mastery of Python and thus prepare them to use Python and a professional setting and create real world applications!!

Course Curriculum

Chapter 1: Introductions and Setting up

Lecture 1: A Bit About Me

Lecture 2: How to do this course (IMPORTANT!)

Lecture 3: Installing Python

Chapter 2: Module 1: Mathematics Challenges

Lecture 1: Algebra Problems Challenge

Lecture 2: Algebra Problems Soluton

Lecture 3: Squares and Square roots Calculator Challenge

Lecture 4: Squares and Square roots Calculator Solution

Lecture 5: Squares and Square Roots Calculator (Student Solution)

Lecture 6: Squares and Square Roots Advanced Solution

Lecture 7: Factorization Challenge

Lecture 8: Factorization Solution

Lecture 9: Factorisation Advanced Solution

Lecture 10: Prime Number Generator Challenge

Lecture 11: Prime Number Generator Solution

Lecture 12: Prime Number Optimization Challenge

Lecture 13: Prime Number Optimization Solution 1

Lecture 14: Prime Number Optimisation Student Solution

Lecture 15: Armstrong Numbers Generator Challenge

Lecture 16: Armstrong Number Generator Solution

Chapter 3: Text Based User Interface Challenges

Lecture 1: The Pyramid Function Challenge

Lecture 2: The Pyramid Funcation Solution

Lecture 3: The Window Functon Challenge

Lecture 4: The Window Function Solution

Chapter 4: Turtle Graphics Challenges

Lecture 1: Introduction to Turtle

Lecture 2: Geometric Shapes Challenge

Lecture 3: Geometric Shapes Solution

Lecture 4: Polygon Function Challenge

Lecture 5: Polygon Function Solution

Lecture 6: Starlit Sky Challenge

Lecture 7: Starlit Sky Solution Basic

Lecture 8: Starlit Sky Solution Advanced

Lecture 9: Cloudy Sky Challenge

Lecture 10: Cloudy Sky Solution Basic

Lecture 11: Cloudy Sky Solution Advanced

Chapter 5: Text Analysis Challenges

Lecture 1: e Counter Challenge

Lecture 2: e Counter Solution

Lecture 3: Word Counting / Text Formatting Challenge

Lecture 4: Word Counting / Text Formatting Solution

Lecture 5: Seeking Capitalization Mistakes Challenge

Lecture 6: Seeking Capitalization Mistakes Solution

Lecture 7: Word Ranking Challenge

Lecture 8: Word Ranking Solution

Chapter 6: Recursion Challenges

Lecture 1: Recursion Introduction

Lecture 2: Recursive Spiral Challenge

Lecture 3: Recursive Spiral Solution

Lecture 4: Koch Fractal Challenge

Lecture 5: Koch Fractal Solution

Lecture 6: Koch Snowflake Challenge

Lecture 7: Koch Snowflake Solution

Instructors

Sanjin Dedic
Teacher, Robotics Engineer
Dawood Laiq
Virtual Assistant

Rating Distribution

1 stars: 1 votes
2 stars: 2 votes
3 stars: 9 votes
4 stars: 13 votes
5 stars: 12 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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