Udemy

Computational Thinking In Python

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  • 1,047 Students
  • Updated 6/2017
  • Certificate Available
4.1
(40 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 48 Minute(s)
Language
English
Taught by
Sanjin Dedic, Dawood Laiq
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.1
(40 Ratings)
2 views

Course Overview

Computational Thinking In Python

Tackling open ended problems with guile and creativity

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 Content

  • 6 section(s)
  • 49 lecture(s)
  • Section 1 Introductions and Setting up
  • Section 2 Module 1: Mathematics Challenges
  • Section 3 Text Based User Interface Challenges
  • Section 4 Turtle Graphics Challenges
  • Section 5 Text Analysis Challenges
  • Section 6 Recursion Challenges

What You’ll 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


Reviews

  • c
    c Chung
    5.0

    easy to follow.

  • F
    Fernando Martel
    4.5

    Fun course. Nice set of challenging problems to learn about code optimization etc. hands on. The instructor gives some pointers for deeper dives.

  • C
    Charles Podvesker
    3.5

    Seems very good so far , but I am only on the 3rd video

  • A
    Austin Campbell
    5.0

    this seemed like a well done course with alot of effort put in

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