Photoreal telephoto wildlife shot of Atlantic puffins on a grassy sea cliff with pink sea thrift at golden hour, one carrying sand eels, more birds at burrows and in flight, a dark rock face, surf around two sea stacks, and soft sea mist on the horizon.
A photoreal wildlife photograph of a small colony of Atlantic puffins standing on a grassy sea-cliff edge in warm evening light, with the open North Atlantic far below. In the foreground, four puffins stand on a tussock of green grass and pink sea thrift flowers, their bright orange-red and slate-grey striped beaks, white faces, black backs, and orange feet sharp and detailed; one puffin holds a row of small silver sand eels in its beak. Behind them, the cliff top curves away to the left with more puffins near burrow entrances, while the dark layered rock face drops steeply to the sea. Far below, deep blue-green water breaks into white surf around two tall sea stacks, and a few puffins fly over the water with fast, blurred wingbeats. Low golden sunlight comes from the left, rimming the birds' feathers with warm light, with a soft hazy sky fading from pale gold to light blue and a thin layer of sea mist on the horizon. Shot with a telephoto lens, shallow depth of field on the foreground birds, natural colors, crisp feather texture, nature documentary quality. Wide landscape 16:9. No people, no text, no watermark, no logos.
Compares commute options - car (fuel or EV), transit, bike, e-bike, walking, day-share mixes and park-and-ride legs - per month and year with cash cost, door-to-door time, time cost at your own hourly value, cost per trip and CO2. Picks pass vs pay-per-ride for the days you ride, separates car running costs from fixed costs, and shows the break-even value of an hour. Includes a stdlib Python calculator with --self-test.
Plans a day hike leg by leg. Estimates time with Naismith's rule and Langmuir's descent corrections, adjusted for terrain, fitness, pack weight and breaks, gives clock times for each leg, checks the finish against sunset and the latest safe start, and works out water to carry between refills and snacks to pack. Flags after-dark finishes, long dry stretches and hard terrain late in the day. Includes a stdlib Python planner with --self-test.
Builds a day-by-day jet lag plan from flight times and your usual sleep hours. Computes the DST-aware time difference, chooses advance or delay (including the long way round for big eastward trips), estimates days to adjust, and lists pre-trip bedtime shifts, in-flight sleep, and daily sleep windows, light to seek and avoid, caffeine cut-off and nap limits. Flags short trips. Includes a stdlib Python planner with --self-test.
