Python Basics

Included in the course

What you'll learn

• Create programs using basic language constructions (conditions, loops, functions, etc.)
• Compose programs consisting of several modules
• Correctly analyze errors in code and use the debug printout when searching for them

Description

In this course, you will learn the basics of the Python language. You will learn about simple data types, conditions, loops, functions, and built-in methods. In the end, you will learn how to write simple programs and how to look for and analyze errors in your code. The knowledge from this course will help you get a basic understanding of Python. This course is suitable both for beginners in programming and for those who are mastering a new language.

Course program

• 1

  Introduction

  Learning about Python Basics course

  theory
• 2

  Hello, World!

  Writing the first program

  theory

  quiz

  exercise

• 3

  Instructions

  Learning the basics of building programs in Python

  theory

  quiz

  exercise

• 4

  Arithmetic operations

  Learning how to express arithmetic operations in code

  theory

  quiz

  exercise

• 5

  Design errors, syntax and linter

  Exploring types of errors and ways to fix them

  theory

  quiz

  exercise

• 6

  Strings

  Learning to work with strings

  theory

  quiz

  exercise

• 7

  Variables

  Learning to store information and reuse existing data

  theory

  quiz

  exercise

• 8

  Expressions in definitions

  Learning to use variables and simplify code

  theory

  quiz

  exercise

• 9

  Naming

  Learning how to name variables correctly

  theory

  quiz

  exercise

• 10

  Interpolation

  Learning another way to work with strings in Python

  theory

  quiz

  exercise

• 11

  Extract characters from a string

  Learning how to get values from strings

  theory

  quiz

  exercise

• 12

  String cuts

  Learning how to extract substrings

  theory

  quiz

  exercise

• 13

  Data types

  Learning how to multiply a number by a string

  theory

  quiz

  exercise

• 14

  Immutability and primitive types

  Explore whether Python can change strings or numbers

  theory

  quiz

  exercise

• 15

  Functions and their calls

  Learning to use ready-made functions

  theory

  quiz

  exercise

• 16

  Function Signature

  Learning how the function takes and returns values

  theory

  quiz

  exercise

• 17

  Function calls and expressions

  Learning to use the result of the functions

  theory

  quiz

  exercise

• 18

  Determinism

  Exploring some function's properties and their features

  theory

  quiz

  exercise

• 19

  Standard Library

  Introducing the standard library

  theory

  quiz

  exercise

• 20

  Properties and methods

  Learning to use Python's built-in data attributes

  theory

  quiz

  exercise

• 21

  Chain of methods

  Learning how to use Python's built-in data attributes

  theory

  quiz

  exercise

• 22

  Definition of functions

  Learning to create functions

  theory

  quiz

  exercise

• 23

  Return values

  Learning to use the result of the function

  theory

  quiz

  exercise

• 24

  Function parameters

  Learning how to transfer data to a function

  theory

  quiz

  exercise

• 25

  Optional function parameters

  Learning how to set the default values

  theory

  quiz

  exercise

• 26

  Named arguments

  Exploring another type of arguments

  theory

  quiz

  exercise

• 27

  Environment

  Learning about the values available for the functions

  theory

  quiz

  exercise

• 28

  Logic

  Learning what a logical type is and how to apply logical operations

  theory

  quiz

  exercise

• 29

  Logical operators

  Learning how to write compound conditions

  theory

  quiz

  exercise

• 30

  The result of logical operations

  Exploring logical operations in more depth

  theory

  quiz

  exercise

• 31

  Conditional constructions

  Learning how to control the program's behavior depending on different conditions

  theory

  quiz

  exercise

• 32

  The while loop

  Learning to write programs for repetitive actions

  theory

  quiz

  exercise

• 33

  Data aggregation

  Learning to apply cycles in practice

  theory

  quiz

  exercise

• 34

  Row bypass

  Learning how to bypass and form strings in loops

  theory

  exercise

• 35

  Conditions in the loop body

  Learning to control the behavior of programs in loops

  theory

  quiz

  exercise

• 36

  The for cycle

  Exploring another loop in Python

  theory

  quiz

  exercise

• 37

  Debugging

  Learning how to find bugs in the code

  theory

  quiz

  exercise

• 38

  Modules

  Learning how Python handles code split into multiple files

  theory

  exercise

• 39

  Deeper modules

  Exploring non-obvious cases of working with modules

  theory

  quiz

  exercise

• 40

  Packages

  Learning how to combine individual modules into groups

  theory

  quiz

  exercise

• 41

  Module random

  Using the random module, responsible for generating random numbers

  theory

  quiz

  exercise

• 42

  Corteges

  Getting familiar with the first composite type

  theory

  quiz

  exercise

• 43

  History of Python

  Learning how Python became what it is today

  theory

  quiz

• 44

  Additional resources

  Some materials the Hexlet team have picked up. This will give you a more in-depth understanding of the topic

Challenges

We recommend working on these challenges after completing the course. They'll help you obtain more experience in programming and strengthen your new skills.