Congratulations!

Introduction to Python for Developers

George Boorman

Curriculum Manager, DataCamp

Chapter 1 recap

Syntax	Action	Example	Output
`*`	Multiply	`4 * 10`	`40`
`+`	Addition	`7 + 9`	`16`
`-`	Subtract	`23 - 4`	`19`
`/`	Division	`27 / 3`	`9`
`**`	Power	`3 ** 2`	`9`
`%`	Modulo	`7 % 4`	`3`

# Define total_spend
total_spend = 3150.96


# Single quotes
customer_name = 'George Boorman'


# Double quotes also work
customer_name = "George Boorman"

Chapter 2 recap

current_top_album = "For All The Dogs"


# Convert to lowercase
current_top_album = current_top_album.lower()

# List of prices
prices = [10, 20, 30, 15, 25, 35]

# Get the value at the first index
prices[0]

# Creating a dictionary
products_dict = {"AG32": 10, "HT91": 20, 
                 "PL65": 30, "OS31": 15, 
                 "KB07": 25, "TR48": 35}

# Create a prices set
prices_set = {10, 20, 30,
              15, 25, 35}

# Create a prices tuple
prices_tuple = (10, 20, 30,
                15, 25, 35)

Chapter 3 recap

Operator	Function
`==`	Equal to
`!=`	Not equal to
`>`	More than
`>=`	More than or equal to
`<`	Less than
`<=`	Less than or equal to

Keyword	Function	Use
`if`	If condition is met	First in the workflow
`elif`	Else check if condition is met	After `if`
`else`	Else perform this action	After `elif`

Chapter 3 recap

# Prices list
prices = [9.99, 8.99, 35.25, 1.50, 5.75]


# Print each value in prices
for price in prices:

    print(price)

9.99
8.99
35.25
1.5
5.75

Chapter 3 recap

# Stock limit
stock = 10
# Number of purchases
num_purchases = 0


# While num_purchases < stock limit
while num_purchases < stock:

    # Increment num_purchases
    num_purchases += 1

    # Print remaining stock
    print(stock - num_purchases)

Chapter 3 recap

Keyword	Function
`and`	Evaluate if multiple conditions are true
`or`	Evaluate one or more conditions are true
`in`	Evaluate if a value is in a data structure
`not`	Evaluate if a value is not in a data structure

list.append()

Next steps

Additional built-in functions
- zip()
- enumerate()
Packages and modules
- os
- time
- venv
- pandas
- requests
- numpy

Building custom functions

Congratulations!

Introduction to Python for Developers