NUMPY PROJECTS
Arrays, vectorized math, and randomness. Master the library every data science and ML tool in Python is built on.
Project 1: NumPy Starter Array
Project 2: Environment Version Check
Project 3: Recipe Ingredient Array
Project 4: Photo Dimensions Analyzer
Project 5: Array Dimension Explorer
Project 6: Testimonials Rating Table
Project 7: Restaurant Price Slicer
Project 8: Guest Ratings Converter
Project 9: Itinerary Copy vs. View Demo
Project 10: Listing Price Grid
Project 11: FAQ Pair Reshaper
Project 12: Product Feature Iterator
Project 13: Job Listings Merger
Project 14: Subscriber Batch Splitter
Project 15: Long Message Finder
Project 16: Login Times Sorter
Project 17: Search Results Filter
Project 18: Confirmation Code Generator
Project 19: Theme Picker Simulator
Project 20: Plan Shuffle Simulator
Project 21: Play Count Simulator
Project 22: Viewer Completion Simulator
Project 23: Temperature Averager
Project 24: Weekend Checker Ufunc
Project 25: Message Totals Calculator
Project 26: Price Rounding Tool
Project 27: Task Completion Tracker
Project 28: Engagement Score Calculator
Project 29: Shopping Cart Calculator
Project 30: Signups Data Pipeline
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Who is this for?
The Absolute Beginner
You've never written a line of code. You want a clear, non-intimidating path to start your career.
The "I'm Stuck" Dev
You know some tags but can't build a page from scratch. You need to understand the "why" behind the structure.
FAQ
Q: Is this course really free?
Yes. 100%. All core knowledge on Code Syllabus is free to access.
Q: Do I need any special software?
Just a browser. We provide an integrated coding environment for all exercises.
Q: How long does it take?
The HTML module is designed to be completed in about 5-8 hours of focused work.