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# Computing in Python II: Control Structures

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## Overview

Building on your prior knowledge of variables and operators, this course gets into the meat of programming. Organized into five chapters, this course starts by covering the fundamentals of what control structures are and what they do, then moves on to four common control structures in Python. Conditionals let you modify what your program does based on the values of incoming variables. Loops let you repeat tasks for multiple values or while certain conditions hold true. Functions let you encapsulate complex reasoning into reusable chunks of code. Error handling lets you intelligently recover from anticipated and unanticipated glitches.

By the end of this course, you'll be able to write complex programs in Python that perform useful reasoning. For example, you could write a program that calculates your weight on other planets, calculates the standard deviation of a series of numbers, or checks for the validity of an incoming password.

Structurally, the course is comprised of several parts. Instruction is delivered via a series of short (2-3 minute) videos. In between those videos, you'll complete both multiple choice questions  and coding problems to demonstrate your knowledge of the material that was just covered.

## Syllabus

Chapter 1: Control Structures. The basic role of control structures in general: lines of code that control other lines of code, determining when they execute.

Chapter 2: Conditionals. Building complex reasoning into our code by letting it make decisions based on the changing values of variables, like recommending a raincoat if it's going to rain or issuing a passing grade if a student's average is over 70.

Chapter 3. Loops. Building even more complex reasoning with for loops and while loops, both of which repeat certain lines of code over and over for every value in a list or while some condition is true.

Chapter 4. Functions. Encapsulating blocks of code into reusable functions that can be called as needed, including specifying their input and dictating their output.

Chapter 5. Error Handling. Reacting gracefully when anticipated or unanticipated errors occur during your program's execution.

David Joyner

## Reviews for edX's Computing in Python II: Control Structures 5.0 Based on 8 reviews

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Did you take this course? Share your experience with other students.

• 1
Wim L
5.0 6 days ago
by completed this course, spending 20 hours a week on it and found the course difficulty to be medium.
I have programmed - without taking any course - in Python 2.x more than 10 years ago (and I forgot most of it). I am interested in data science and was looking for a Python course as a first step up. I was also looking at an introductory programming course suitable for my kids; Python is perfect for that.

I have followed all 4 "Computing in Python"- courses, and I feel I'm ready to take on an intermediate course now. Each course is divided in 4 chapters, each chapter ends with an "exam", the course ends with a final exam. Each course took me about a week to complete (5 evenings a…
Anonymous
5.0 2 weeks ago
completed this course.
I found the CS1301xII course to be well organized, the lectures are well presented and succinct, and problem sets are extensive and detail common mistakes and nuances. This is an excellent primer into Python concerning if/then/else statements, for and while loops, and error catching with try/except/else/finally blocks. The math required is basic arithmetic. David Joyner seems like a professor to follow.
Anonymous
5.0 2 days ago
completed this course.
The course was excellent! I really feel like I could start to at least write small python programs on my own with what I learned in this course and the first. I got a much better understanding of concepts, mainly functions. I also love the fact that we had sample problems and tests to go along with the material we covered. Not just "this does that. now you do it" type of teaching. This course really helps you to understand the logic behind the code so that you can code better on your own. Really worth the time and money!
G L
5.0 7 days ago
by completed this course, spending 10 hours a week on it and found the course difficulty to be medium.
Thank you Mr. David. I have done the chapter 2 and going to chapter 3 soon, but tomorrow is the first day of second semester, maybe i'll continue in a few days. I had studied C++ on first semester so it isn't so hard for me to cope with learning python. But anyone who wants to learn python even from NULL experience can start with this course!! i really recommend it, because the way the lecturer explain things is quite very detail so YOU CAN DO IT!! Best Luck for you!!
Andreas D
5.0 4 days ago
completed this course, spending 7 hours a week on it and found the course difficulty to be medium.
The course really helped me to improve my skills in programming with python. It is a good introduction for people who have just little experience in programming and want to be guided step by step. The professor explains everything very well. Because you always make small steps forward, you never feel overwhelmed.

All in all it is a great course that I can recommend to everybody who wants to get started with python programming.
Andrew N
5.0 2 days ago
by completed this course.
The structure and pace of the lesson plan provides the right amount of material to ensure you grasp the concepts. The assignment and lessons build on one another well and helps you envision the road maps to master other lessons.
Wolfgang H
5.0 a week ago
completed this course, spending 15 hours a week on it and found the course difficulty to be medium.
Thanks a lot for an almost perfect learning experience!

Well structured theoretical stuff quickly followed by practice, practice, practice....

That's what keeps you holding on!!!!
Neville C
5.0 8 hours ago
completed this course, spending 5 hours a week on it and found the course difficulty to be easy.
This is a great course to learn how to program. If you already know how to program, this may be a bit slow. But if you are trying why is that you use different for and while loops, this is right for you. I tried several time to learn Python and got frustrated with crash courses. I did not need to learn Python, what I needed was to learn how to program using Python. I highly recommend this course series from David Joyner and Georgia Tech.