This course provides an introduction to both the principles and the practice of programming, using a subset of Python 3. Materials and activities include: animations, learning questions, web-based programming windows, and web-based challenge activities. The course covers basic programming constructs (branches, loops, functions) to advanced topics such as inheritance, exceptions, and plotting.

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Introduction to Programming in Python +$99.00

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Introduction to Programming in Python

Course Content from Zyante

Course Number: CS101 Download Course Syllabus

Self Paced
Computer Science
Content by Zyante

Online Course

Introduction to Programming in Python +$99.00

Tutoring (included)

Proctoring

Proctoring +$0.00

Credits 3

Plus Membership [?]

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Course Objectives

After completing this course, students will be able to:

Use standard input and output, and understand common syntax errors
Declare and initialize variables with valid identifiers
Develop programs that branch based on user input
Combine loops and arrays/lists, and develop programs with multiple arrays/lists
Write a function/method, then return from a function/method and parameterize a function
Initialize class variables with class constructor
Create derived and abstract classes
Write a recursive function
Use binary search, O notation, and algorithm analysis

Topic Number	Topic Title	Subtopics
1	Introduction to Python 3	Programming (general) Programming using Python Basic input and output Errors Development environment Computers and programs (general) Computer tour Language history Why whitespace matters Python example: Salary calculation Additional practice: Output art
2	Variables and Expressions	Variables and assignments Identifiers Objects Numeric types: Floating point Arithmetic expressions Python expressions Division and modulo Module basics Math module Representing text Additional practice: Number games
3	Types	String basics List basics Tuple basics Set basics Dictionary basics Common data types summary Additional practice: Grade calculation Type conversions Binary numbers String formatting Additional practice: Health data
4	Branching	If-else branches (general) Detecting equal values with branches Detecting ranges with branches Detecting ranges using logical operators Detecting ranges with gaps Detecting multiple features with branches Comparing data types and common errors Membership & identity operators Order of evaluation Code blocks and indentation Conditional expressions Additional Practice: Tweet Decoder
5	Loops	Loops While loops More while examples Counting For loops Counting using the range() function While vs. for loops Nested loops Developing programs incrementally Break and continue Loop else Getting both index and value when looping: enumerate() Additional practice: Dice statistics
6	Functions	User-defined function basics Function parameters Returning values from functions Dynamic typing Reasons for defining functions Function with branches/loops Function stubs Functions are objects Functions: Common errors Scope of variables and functions Namespaces and scope resolution Function arguments
7	Strings	String slicing Advanced string formatting String methods Splitting and joining strings The string format method
8	Lists and Dictionaries	Lists List methods Iterating over a list List games List nesting List slicing Loops modifying lists List comprehensions Sorting lists Command-line arguments Additional practice: Engineering examples Dictionaries Dictionary methods Iterating over a dictionary Dictionary nesting String formatting using dictionaries
9	Classes	Classes: Introduction Classes: Grouping data Class methods Class and instance object types Class example: Seat reservation system Class constructors Class interfaces Class customization More operator overloading: Classes as numeric types Memory allocation and garbage collection
10	Exceptions	Handling exceptions using try and except Multiple exception handlers Raising exceptions Exceptions with functions Using finally to cleanup Custom exception types
11	Modules	Modules Finding modules Importing specific names from a module Executing modules as scripts Reloading modules Packages Standard library
12	Files	Reading files Writing files Interacting with file systems Binary data Command-line arguments and files The ‘with’ statement Comma separated values files
13	Inheritance	Derived classes Accessing base class attributes Overriding class methods Is-a versus has-a relationships Mixin classes and multiple inheritance Testing your code: The unittest module
14	Recursion	Recursive functions Recursive algorithm: Search Adding output statements for debugging Creating a recursive function Recursive math functions Recursive exploration of all possibilities
15	Plotting	Introduction to plotting and visualizing data Styling plots Text and annotations Numpy Multiple plots
16	Searching and Sorting Algorithms	Searching and algorithms Binary search O notation Algorithm analysis Sorting: Introduction Selection sort Insertion sort Quicksort Merge sort
17	Final Exam	Final Exam

StraighterLine suggests, though does not require, that students take Pre-Calculus or its equivalent before enrolling in this course.

This course does not require a text.

StraighterLine does not apply letter grades. Students earn a percentage score. A passing percentage is 70% or higher.

If you have chosen a Partner College to award credit for this course, your final grade will be based upon that college’s grading scale. Only passing scores will be considered by Partner Colleges for an award of credit.

There are a total of 1000 points in the course:

Topic	Assessment	Points Available
1	Chapter 1: Introduction to Python 3	31
2	Chapter 2: Variables and Expressions	31
3	Chapter 3: Types	31
4	Chapter 4: Branching	31
5	Chapter 5: Loops	31
6	Chapter 6: Functions	31
7	Chapter 7: Strings	31
8	Chapter 8: Lists and Dictionaries	31
8	Midterm Exam	204
9	Chapter 9: Classes	31
10	Chapter 10: Exceptions	31
11	Chapter 11: Modules	31
12	Chapter 12: Files	31
13	Chapter 13: Inheritance	31
14	Chapter 14: Recursion	31
15	Chapter 15: Plotting	31
16	Chapter 16: Searching and Sorting Algorithms	31
17	Final Exam	300
Total		1000

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