Part 1: Programming and Python Fundamentals

1.1 – Understand fundamental terms and definitions
– interpreting and the interpreter, compilation and the compiler
– lexis, syntax, and semantics

1.2 – Understand Python’s logic and structure
– keywords
– instructions
– indentation
– comments

1.3 – Introduce literals and variables into code and use different numeral systems Boolean, integers, floating-point numbers
– scientific notation
– strings
– binary, octal, decimal, and hexadecimal numeral systems
– variables
– naming conventions
– implementing PEP-8 recommendations

1.4 – Choose operators and data types adequate to the problem
– numeric operators: ** * / % // + –
– string operators: * +
– assignment and shortcut operators
– unary and binary operators
– priorities and binding
– bitwise operators: ~ & ^ | << >>
– Boolean operators: not, and, or
– Boolean expressions
– relational operators ( == != > >= < <= )
– the accuracy of floating-point numbers
– type casting

1.5 – Perform Input/Output console operations
– the print() and input() functions
– the sep= and end= keyword parameters
– the int() and float() functions

Part 2: Control Flow – Conditional Blocks and Loops

2.1 – Make decisions and branch the flow with the if instruction
– conditional statements: if, if-else, if-elif, if-elif-else
– multiple conditional statements
– nesting conditional statements

2.2 – Perform different types of iterations
– the pass instruction
– building loops with while, for, range(), and in
– iterating through sequences
– expanding loops with while-else and for-else
– nesting loops and conditional statements
– controlling loop execution with break and continue

Part 3: Data Collections – Tuples, Dictionaries, Lists, and Strings

3.1 – Collect and process data using lists
– constructing vectors
– indexing and slicing
– the len() function
– list methods: append(), insert(), index(), etc.
– functions: len(), sorted()
– the del instruction
– iterating through lists with the for loop
– initializing loops
– the in and not in operators
– list comprehensions
– copying and cloning
– lists in lists: matrices and cubes

3.2 – Collect and process data using tuples
– tuples: indexing, slicing, building, immutability
– tuples vs. lists: similarities and differences
– lists inside tuples and tuples inside lists

3.3 Collect and process data using dictionaries
– dictionaries: building, indexing, adding and removing keys
– iterating through dictionaries and their keys and values
– checking the existence of keys
– methods: keys(), items(), and values()

3.4 Operate with strings
– constructing strings
– indexing, slicing, immutability
– escaping using the \ character
– quotes and apostrophes inside strings
– multi-line strings
– basic string functions and methods

Part 4: Functions and Exceptions

4.1 – Decompose the code using functions
– defining and invoking user-defined functions and generators
– the return keyword, returning results
– the None keyword
– recursion