Cloud Programming Labs

This repository contains my JavaScript and Python exercises for the Cloud Programming course. Each exercise is organized by topic and follows the course submission guidelines.

Prerequisites

• Node.js (v18+ recommended)
• Python 3.12+ (for match/case support)
• Any text editor or online IDE (Google Colab, PythonAnywhere, CodeSandbox, StackBlitz)

Folder Structure

JavaScript

js/
├── task1/      Variables & Types      (S1_VAR_01 - S1_VAR_10)
├── task1b/     Conditionals (if)      (S1_IF_01 - S1_IF_03)
├── task1c/     Switch statements      (S1_SW_01 - S1_SW_03)
├── task2/      Array operations       (S2_ARR_01 - S2_ARR_06)
├── task2b/     Loops (for, for..of)   (S2_FOR_01 - S2_FOR_06)
├── task3a/     Objects & iteration    (S3_OBJ_01 - S3_OBJ_06)
├── task3b/     Arrow functions        (S3_FN_01 - S3_FN_06)
└── task3c/     Pipelines & compose    (S3_PIPE_01 - S3_PIPE_06)

Python (50 exercises)

python/
├── task0/      Setup & Workflow       (S0_SETUP_01 - S0_SETUP_03)  [3 files]
├── task1/      Variables & Types      (S1_VAR_01 - S1_VAR_10)      [10 files]
├── task1b/     Conditionals (if)      (S1_IF_01 - S1_IF_03)        [3 files]
├── task1c/     match/case (3.10+)     (S1_MC_01 - S1_MC_03)        [3 files]
├── task2/      List operations        (S2_LIST_01 - S2_LIST_06)    [6 files]
├── task2b/     Loops                  (S2_FOR_01 - S2_FOR_06)      [6 files]
├── task3a/     Dict operations        (S3_DICT_01 - S3_DICT_06)    [6 files]
├── task3b/     Lambda functions       (S3_LAM_01 - S3_LAM_06)      [6 files]
└── task3c/     Pipelines + bonus      (S3_PIPE_01 - S3_PIPE_07)    [7 files]

Topics Covered

JavaScript

Stage 1 — Variables, Types, Conditionals

• var, let, const and their scoping rules
• Type checking with typeof, handling null, NaN, and undefined
• Type coercion and BigInt for large numbers
• Conditional logic with if/else and switch

Stage 2 — Arrays & Loops

• Array manipulation: filtering, chunking, flattening, deduplication
• Statistical operations (min, max, avg)
• Loop constructs: for, for..of, nested loops
• Building frequency maps and lookup tables

Stage 3 — Objects, Functions & Pipelines

• Safe property access, shallow merging, pick/omit patterns
• Object inversion and grouping
• Arrow function syntax and closures
• Higher-order functions: map, filter, reduce
• Function composition with pipe() and compose()

Python

Stage 1 — Variables, Types, Conditionals

• Dynamic typing and type() inspection
• Mutability (list vs tuple), identity vs equality (is vs ==)
• Truthiness, math.isnan(), unlimited integers
• Conditional logic with if/elif/else and match/case (Python 3.10+)

Stage 2 — Lists & Loops

• List operations: cleaning, deduplication, chunking, flattening
• Statistical functions and record transformation
• Loop constructs: for, while, nested loops
• Histograms and multiplication tables

Stage 3 — Dicts, Lambdas & Pipelines

• Safe nested access, merging, pick/omit patterns
• Dict inversion and grouping
• Lambda functions and closures
• Higher-order functions and functools.reduce()
• Function composition with pipe() and compose()
• Generator-based pipelines with itertools

Running Exercises

JavaScript

node js/task1/S1_VAR_01.js

Python

python python/task1/S1_VAR_01.py

Each file is self-contained and prints output to verify correctness.

Commit Convention

Following course guidelines, commits use this format:

TASK<N>: <EXERCISE_ID> - description

Examples:

• TASK1: S1_VAR_01 - variable declarations with type table
• TASK2: S2_ARR_03 - chunk array into groups of N
• TASK3C: S3_PIPE_01 - left-to-right function composition

License

Educational use only.