answer:def analyze_study_sessions(durations): total_duration = sum(durations) num_sessions = len(durations) average_duration = total_duration / num_sessions longest_session = max(durations) shortest_session = min(durations) return (average_duration, longest_session, shortest_session)

answer:def analyze_job_displacement(data): result = {} for person in data: industry = person['industry'] name = person['name'] if industry in result: result[industry].append(name) else: result[industry] = [name] return result

answer:Here's the Python function to calculate the average number of goals scored by each player in a season:```pythondef calculate_average_goals(players_data): average_goals = {} for player in players_data: name = player["name"] goals = player["goals"] total_goals = sum(goals) num_matches = len(goals) if num_matches > 0: average_goals[name] = round(total_goals / num_matches, 2) return average_goals```This function takes a list of dictionaries `players_data` as input, where each dictionary represents a player and contains their name and a list of goals scored in each match throughout the season.Here's how the function works:1. An empty dictionary `average_goals` is initialized to store the average goals per match for each player.2. The function loops through each player dictionary in `players_data`.3. For each player, the name and list of goals scored are extracted from the dictionary.4. The total number of goals scored by the player is calculated using the `sum()` function on the list of goals.5. The number of matches played by the player is calculated by taking the length of the list of goals.6. If the number of matches played is greater than 0, the average goals per match is calculated by dividing the total goals by the number of matches, and the result is rounded to two decimal places using the `round()` function.7. The player's name and their average goals per match are added to the `average_goals` dictionary.8. After processing all players, the `average_goals` dictionary is returned as the output.The final `return` statement returns the `average_goals` dictionary, where each key is a player's name, and each value is the average number of goals scored per match by that player, rounded to two decimal places.

answer:def calculate_pass_accuracy(passes): if not passes: return 0.0 successful_passes = passes.count("successful") total_passes = len(passes) pass_accuracy = (successful_passes / total_passes) * 100 return round(pass_accuracy, 2)

answer:def analyze_reptile_sightings(sightings): species_counts = {} for species in sightings: if species in species_counts: species_counts[species] += 1 else: species_counts[species] = 1 return species_counts

answer:Here's the Python function to simulate a basic handball game scoreboard:```pythondef handball_scoreboard(scoring_events): scores = {'Team A': 0, 'Team B': 0} for team, points in scoring_events: scores[team] += points return scores```This function takes a list of tuples `scoring_events` as input, where each tuple represents a scoring event with the team name and the number of points scored. It initializes a dictionary `scores` with keys 'Team A' and 'Team B' and initial scores set to 0.Then, it iterates over the `scoring_events` list, and for each event, it updates the score of the corresponding team in the `scores` dictionary by adding the points scored.Finally, it returns the `scores` dictionary with the final scores of both teams.