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Section 3: Data Collections – Tuples, Dictionaries, Lists, and Strings (25%)

PCEP-30-02 3.1 – Collect and process data using lists

• constructing vectors
• indexing and slicing - Python List Slicing
• the len() function - Функция len() в Python, количество элементов объекта
• list methods: append(), insert(), index(), etc. - More on Lists
• functions: len(), sorted() - Возможности и примеры функции sorted в Python
• the del instruction - The del statement
• iterating through lists with the for loop - Iterate over a list in Python
• initializing loops
• the in and not in operators - Операторы in и not in в Python
• list comprehensions - List Comprehensions
• copying and cloning - Python | Cloning or Copying a list
• lists in lists: matrices and cubes - Работа с вложенными списками в Python

PCEP-30-02 3.2 – Collect and process data using tuples

• tuples: indexing, slicing, building, immutability - Tuples and Sequences
• tuples vs. lists: similarities and differences
• lists inside tuples and tuples inside lists

PCEP-30-02 3.3 Collect and process data using dictionaries

• dictionaries: building, indexing, adding and removing keys - Dictionaries
• iterating through dictionaries and their keys and values - Looping Techniques
• checking the existence of keys - Check whether given Key already exists in a Python Dictionary
• methods: keys(), items(), and values()

PCEP-30-02 3.4 Operate with strings

• constructing strings
• indexing, slicing, immutability - Why are Python Strings Immutable?
• escaping using the \ character - Escape Sequences in Python
• quotes and apostrophes inside strings - How To Format Text in Python 3
• multi-line strings - 4 Techniques to Create Python Multiline Strings
• basic string functions and methods - string — Common string operations