EV startup ecosystem in EV Technology - Mini Project: Build & Apply

EV Startup Ecosystem

📖 Scenario: You are exploring the electric vehicle (EV) startup ecosystem to understand how new companies contribute to the growth of clean transportation.

🎯 Goal: Create a simple data structure listing EV startups, add a filter for startups founded after 2015, extract their names, and finalize the list for presentation.

📋 What You'll Learn

Create a dictionary called ev_startups with startup names as keys and founding years as values

Create a variable called year_threshold set to 2015

Use a dictionary comprehension to create recent_startups with startups founded after year_threshold

Create a list called startup_names containing only the names of the recent startups

💡 Why This Matters

🌍 Real World

Understanding the EV startup ecosystem helps investors, customers, and policymakers track innovation and market trends in clean transportation.

💼 Career

Data handling and filtering skills are essential for roles in market research, business analysis, and technology scouting in the EV industry.

1

Create the EV startups dictionary

Create a dictionary called ev_startups with these exact entries: 'VoltDrive': 2012, 'EcoWheels': 2018, 'GreenMotion': 2020, 'ChargeUp': 2016, 'SparkAuto': 2014.

EV Technology

# Create the ev_startups dictionary with given startup names and founding years
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with keys as startup names and values as founding years.

2

Set the founding year threshold

Create a variable called year_threshold and set it to 2015.

EV Technology

ev_startups = {
    'VoltDrive': 2012,
    'EcoWheels': 2018,
    'GreenMotion': 2020,
    'ChargeUp': 2016,
    'SparkAuto': 2014
}
# Create year_threshold variable set to 2015
# Your code here

Need a hint?

Assign the number 2015 to the variable year_threshold.

3

Filter startups founded after 2015

Use a dictionary comprehension to create a new dictionary called recent_startups that includes only startups from ev_startups with founding years greater than year_threshold.

EV Technology

ev_startups = {
    'VoltDrive': 2012,
    'EcoWheels': 2018,
    'GreenMotion': 2020,
    'ChargeUp': 2016,
    'SparkAuto': 2014
}
year_threshold = 2015
# Create recent_startups dictionary with startups founded after year_threshold
# Your code here

Need a hint?

Use {key: value for key, value in dictionary.items() if condition} to filter the dictionary.

4

Extract names of recent startups

Create a list called startup_names that contains only the keys (startup names) from the recent_startups dictionary.

EV Technology

ev_startups = {
    'VoltDrive': 2012,
    'EcoWheels': 2018,
    'GreenMotion': 2020,
    'ChargeUp': 2016,
    'SparkAuto': 2014
}
year_threshold = 2015
recent_startups = {name: year for name, year in ev_startups.items() if year > year_threshold}
# Create a list startup_names with the names of recent startups
# Your code here

Need a hint?

Use the keys() method and convert it to a list.