PYTHON: Programming in Python

Topics covered

• Introduction to algorithms

  • Pseudocode
  • print and input
  • Variables and data types
  • Arithmetic and expressions

Expected skills: Translate a short algorithm into a Python program that reads input and prints a result.

Topics covered

• Conditionals

  • Boolean logic
  • Comparison operators
  • Logical operators
  • if and else

Expected skills: Write conditions and choose between two execution paths.

Topics covered

• Conditionals (continued)

  • if–elif–else chains
  • Nested conditionals
  • Multi-branch logic

Expected skills: Implement multi-case decisions using chained and nested conditions.

Topics covered

• Iterations and ranges

  • while loops
  • for loops
  • range()
  • Accumulators
  • Counters

Expected skills: Use loops to count, accumulate and process repeated operations.

Topics covered

• Iterations and ranges (continued)

  • Nested loops
  • break and continue
  • Number problems
  • Pattern problems

Expected skills: Trace nested loops and control iteration to solve number and pattern problems.

Topics covered

• Basic collections

  • Strings and string methods
  • Indexing and slicing
  • Introduction to lists

Expected skills: Manipulate strings and access elements or slices of basic collections.

Topics covered

• Basic collections (continued)

  • List operations
  • Iterating over lists
  • Filtering lists
  • List-of-lists and matrices for OPPE 2

Expected skills: Build, traverse and filter lists, including nested lists.

Topics covered

• Tuples, dictionaries & sets

  • Tuples
  • Dictionaries
  • Sets
  • Nested collections
  • Matrix problems

Expected skills: Select suitable collection types and process nested collection data.

Topics covered

• File operations

  • Opening files
  • Reading and writing files
  • Reading line by line

Expected skills: Read and write text files and process their contents one line at a time.

Topics covered

• File operations (continued)

  • CSV-style text
  • Parsing rows and fields
  • Converting text into lists
  • Converting text into dictionaries

Expected skills: Parse structured text files into useful Python collections.

Topics covered

• Modules & functions

  • import
  • math, random and datetime
  • Defining and using functions
  • Recursion

Expected skills: Organize reusable code into functions and use standard-library modules and recursion.

Topics covered

• Basic Pandas & NumPy

  • Basic Pandas
  • Basic NumPy
  • Light data processing
  • Standard-library Python for core coding

Expected skills: Recognize basic data-processing operations and keep core coding solutions in standard Python.