S111: Python 2
Ages 13 – 18
Python Meets Mathematics 2
Predict the future with Monte Carlo simulations? It is possible right here to build that model to calculate the probability on Python. A shopaholic shopping for new clothes? Create a shopping cart system with Python. Surprise us with what you can build! Taking Mathematical Simulations to the next level, students who have completed at least 6 levels in S101P will now be performing even more Monte Carlo Simulations, experimenting with Probability, and practicing statistical modelling.
Combine Python programming skills with real world applications to come up with mini programmes and solve higher level challenges such as Financial Savings Projector and Word Analyser. The different checkpoints during the course will allow students to track their own progress and complete milestones (achievement unlocked!) of their learning.
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For Loop and Range
Use For Loops and Range
Introduction to data structures
Create and use lists
Develop a shopping cart programme
Prime Number Generator Challenge
Strings and Dictionaries
Understand Strings as a list
Create and Use Dictionaries
Develop a text analysis programme
More Useful Libraries
Use matplotlib and numpy
Plot functions and equations
Actuarial Consultant Challenge
Ages 13 – 18
Completed S101: Python 1 and S101P: Python Perfect 1 challenges (min. Level 6)
Passed the placement test with Coding Lab
All materials and equipment provided
Maximum 1:10 Instructor-Student ratio
10 hours duration
9 King Albert Park (KAP Mall) #02-21, 598332
80 Marine Parade Road #10-06, 449269
The Grassroots Club
190 Ang Mo Kio Ave 8, 568046
[Holiday Camps Only]
Coding Lab Online
Learn from the comfort of your home
[Live Online E-Learning]
Coding Lab Student Feature: Josephine, 14, Raffles Girls School
Meet our talented student, Josephine, 14. A member of her school’s Infocomm club, she started with Coding Lab in 2017, where she was first introduced to Python programming. She has since progressed upward and can now count programming in C++ as another skill under her belt.
Coding Lab Student Feature: Sarah Go, 18, Scholarship Recipient (USA)
Meet Sarah, our talented young coder. She’s gotten an honourable mention at the National Olympiad in Informatics (NOI), volunteered with the community, and clinched a prestigious scholarship to study Computer Engineering in the USA.
Coding Lab Student Feature: Lauren Yeo, 14, Methodist Girls’ School, (IB) Programme
Meet Lauren, the child music prodigy who, at the age of 9, sang at Carnegie Hall after winning 1st place at the American Protégé International Voice Competition in New York. Also a self-confessed Science nerd, and a member of her school Science Club and MENSA, Lauren is living proof that arts and science can go together.