Introduction to Programming in Python teaches you to write working Python scripts: making decisions, repeating tasks with loops, organizing code into functions and using modules and libraries.
It is a 3 competency unit course that WGU's B.S. Data Analytics program guide places after Scripting and Programming - Foundations. It gives data students the coding base used later in analytics courses.
Many students understand the examples but freeze at a blank editor. The course rewards practice: writing, running and fixing short programs until the patterns become familiar.
Course at a Glance
| Item | Details |
|---|---|
| University | Western Governors University (WGU) |
| Course | D335 Introduction to Programming in Python |
| Level | Undergraduate, 3 competency units |
| Program | B.S. Data Analytics (and other degrees that list it) |
| Subject area | Introductory programming in Python |
| Typical work | Short coding exercises and labs, writing scripts that meet a specification |
What D335 Covers
WGU lists three competencies:
| Competency | What you practice |
|---|---|
| Create Python scripts with basic programming concepts | Variables, data types, input and output, operators, strings and lists |
| Create control flow with functions and loops | if, elif and else; for and while loops; defining and calling functions with parameters and return values |
| Implement code with packages, modules and libraries | Importing standard modules such as math or random and using their functions correctly |
Key Concepts Explained
Input, Conversion and Output
The input() function always returns a string. Arithmetic needs a conversion with int() or float(), and many early errors come from forgetting this.
Example: A script reads two numbers and prints their sum. Writing a = input() and b = input() then print(a + b) with inputs 4 and 5 prints 45, because strings are joined. Converting first with a = int(input()) gives the expected 9.
Loops and Accumulators
A common pattern sets a variable before a loop and updates it inside. Totals, counts and maximums all follow this shape.
Example: To find the average of a list of scores, set total = 0, loop over each score adding it to total, then divide by len(scores) after the loop. Dividing inside the loop is a typical mistake.
Functions
A function packages a task so it can be reused and tested. The difference between printing a value and returning it matters: only a returned value can be used by the code that called the function.
Typical Work and How to Approach It
| Task type | What it tests | How to approach it |
|---|---|---|
| Short coding exercises | Syntax and basic logic | Read the expected output exactly, including spaces and punctuation |
| Function-writing tasks | Parameters and return values | Test the function with several inputs, including edge cases |
| Loop problems | Iteration and accumulation | Trace the loop by hand for the first three passes |
| Module use | Importing and calling library functions | Check the documentation for argument order and return types |
Check your course page for how D335 is assessed, as WGU coding courses commonly combine practice labs with a final assessment.
A Practice Routine That Builds Fluency
Python skill comes from writing many small programs. The routine below takes about 30 minutes and works for every topic in the course.
| Step | What to do | Why it helps |
|---|---|---|
| 1. Predict | Read a short example and write down the output before running it | Trains you to trace code in your head |
| 2. Run and compare | Run the code and explain any difference from your prediction | Corrects misconceptions early |
| 3. Modify | Change one thing, such as a loop range or condition | Shows how each part affects the result |
| 4. Write from scratch | Solve a similar problem without looking at the example | Builds recall, which assessments test |
| 5. Test edge cases | Try zero, negative numbers, empty strings and empty lists | Catches the inputs auto-graders often use |
Keep your solutions in one folder with short comments. They become a personal reference when similar problems appear later in the course.
Where Students Get Stuck
- Exact output formatting. Auto-graded tasks compare output character by character. Check spacing, line breaks and decimal places.
- Indentation errors. Python uses indentation to define blocks. Mixed tabs and spaces cause confusing errors.
- Off-by-one loops.
range(5)produces 0 to 4, not 1 to 5. - Print versus return. A function that prints but returns nothing gives None to its caller.
Study Tips for D335
- Code every day, even for 20 minutes; frequency beats long weekend sessions.
- Type examples out rather than copying them, then change one thing and predict the result.
- Learn to read error messages from the bottom line up.
- Use f-strings for formatted output, for example
f"{price:.2f}"for two decimals.
How We Help with D335
Send the exercise instructions, your current code and any error messages. A programming tutor explains the concepts involved, walks through debugging step by step, and writes small commented practice examples on the same ideas so you can build the skill yourself.
GradeEssays is independent of Western Governors University. We offer tutoring and practice material only: we do not complete graded labs or assessments, sit exams or log in to your course. Every order includes free revisions within the scope of your original request and a full refund if it is late.
Learn Python Properly for D335
Share the exercises you find hard. A tutor explains each concept with small, commented examples you can run and change.
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Frequently Asked Questions
It helps to have finished Scripting and Programming - Foundations, which the Data Analytics standard path places earlier, but the course starts from basic Python concepts.
Control flow, loops and functions carry most of the work, followed by importing and using modules.
WGU's Data Analytics program guide lists Introduction to Programming in Python at 3 competency units.
Auto-graded tasks often need exact output. Check spaces, capital letters, line breaks and decimal places.
No. Python for IT Automation is a separate course used in other WGU IT degrees and focuses on automation tasks.
No. We explain concepts and help you debug so you can complete them yourself.