The Art of Doing: Code 40 Challenging Python Programs Today! [Free Online Course] - TechCracked

The Art of Doing: Code 40 Challenging Python Programs Today!

Computer Science Through Python Application

This course includes
  • 28.5 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV

What you'll learn
  • Fundamental concepts of computer science that are transferable across ALL programming languages.
  • Foundations of the Python language as well as how to import and work with 8 libraries such as random, matplotlib, and tkinter.
  • How to actually write YOUR OWN programs. You will not sit back and watch. You will DO!
  • 40 "Challenge Problems" that include, a problem description, detailed guide, example output, and completed code.
  • Communicate secretively with a friend by encoding/decoding information based on per-determined bodies of text.
  • Simulate the Power Ball Lottery and see how adjusting the number of balls affects the likelihood of becoming a billionaire.
  • See the devastating effect of interest on student loans and graph the results.
  • Create a GUI interface that simulates the spread of an infectious disease throughout a population.


The art of doing is the art form of transforming oneself from a passive learner who watches, to one who sees the process of learning for what it truly is; a mechanism to better oneself.  In "The Art of Doing", I have worked very hard to put together 40 meaningful, engaging, and purposeful "Challenge Problems" for you to solve.

Each challenge problem is differentiated for 3 levels of learning.

First, you are given a description of the program you are to create and example output.  This allows users an opportunity to solve well defined problems that are meaningful and appropriate in scope.  Here, all of the solution is user generated. It is engaged learning.

Second, you are given a comprehensive guide that will assist you in thought process needed to successfully code your program.  This allows users appropriate assistance that tests their knowledge and forces them to generate the thoughts needed to solve the given problem.  It is meaningful learning. 

Third, you are given completed code, with comments, to highlight how to accomplish the end goal.  This allows users to reference a working version of the program if they are stuck and cannot solve a portion of the problem without assistance.  Rather than grow frustrated, the user can quickly reference this code to gain intellectual footing, and work back to solving the problem on their own.  It is purposeful learning.

Engaging, meaningful, and with purpose.  These challenge problems are vehicles that not only teach computer science, but teach you the art of doing.  I guarantee that after completing them all you will consider yourself a life long learner and be proud to call yourself a self-taught programmer.

Throughout the scope of this book and its 40 challenge problems, you will get exposed to numerous ideas, theories, and fundamental computer science concepts. By working through all 40 challenge problems, you will gain a mastery level understanding of the following topics:

Data Types:
  • Strings: A series of characters
  • Integers: Whole numbers
  • Floats: Decimal numbers
  • Lists: A mutable collection
  • Tuples: An immutable collection
  • Ranges: A sequence of integers
  • Booleans: A True or False value
  • Dictionaries: A collection of associated key-value pairs

Control Flow:
  • For Loops
  • If Statements
  • If/Else Statements
  • If/Elif/Else Statements
  • Break
  • Pass
  • Continue
  • While Loops
  • Def
  • Return

Assignment, Algebraic, Logical, Members, and Comparison Operators
  • = Assignment
  • += Compound Assignment
  • -= Compound Assignment
  • + Concatenation (strings)
  • + Addition (ints and floats)
  • - Subtraction
  • * Multiplication
  • / Division
  • ** Exponentiation
  • % Modulo Division
  • And
  • Or
  • Not
  • In
  • Not in
  • == Equal to
  • != Not Equal to
  • < Less than
  • > Greater Than
  • <= Less Than or Equal
  • >= Greater Than or Equal

Over 20 Built In Python Functions:
  • print()
  • type()
  • str()
  • int()
  • float()
  • input()
  • round()
  • sorted()
  • len()
  • range()
  • list()
  • min()
  • max()
  • sum()
  • zip()
  • bin()
  • hex()
  • set()
  • bool()
  • super()

String Methods:
  • .upper()
  • .lower()
  • .title()
  • .strip()
  • .count()
  • .join()
  • .startswith()
  • .replace()
  • .split()

Lists Methods:
  • .append()
  • .insert()
  • .pop()
  • .remove()
  • .sort()
  • .reverse()
  • .copy()
  • .index()

Dictionary Methods:
  • .items()
  • .keys()
  • .values()
  • .most_common()

And External Libraries:
  • math
  • datetime
  • cmath
  • random
  • collections
  • time
  • matplotlib
  • tkinter

Also See : The Self-Taught Programmer

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