Tall painterly impasto oil painting with thick brushstrokes and no text: a rainy stone-paved street in old Kyoto at dusk, lined with dark wooden machiya townhouses and glowing red paper lanterns, wet stones reflecting warm orange light, a lone figure with a red paper umbrella walking away up the middle, and a five-story pagoda silhouette in the misty blue distance under a deep blue cloudy sky.
A painterly impasto oil painting of a rainy stone-paved street in old Kyoto at dusk, tall portrait 3:4, with thick visible brushstrokes and a heavy textured paint surface. Dark wooden two-story machiya townhouses with lattice windows and tiled eaves line both sides of the street, with glowing red paper lanterns hanging along the eaves, larger and closer on the left, smaller and fading into the distance. The wet paving stones shine and reflect warm orange lantern light in long, broken streaks. A lone figure in a long dark coat, holding a red paper umbrella, walks away from the viewer up the middle of the street. At the far end, the silhouette of a tall five-story pagoda rises into the misty blue distance. Above, a deep blue cloudy evening sky with a faint warm glow near the horizon. Rich deep blues against warm orange and red, quiet, nostalgic, rainy mood. No text, no lettering, no logos.
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.
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.
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.
