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Alex
ad1a216219eb17ef3f6cc28c288d86bd1d414ef1062475db716bb513ee8143a0
Astrophysics. Software.

i think something along the lines of .... more people attacked with their right hands (a legacy trait of why in UK we drive on the left) ... equilibrium was breached ... right-handed people dominated the gene pool?

Replying to Avatar TKay

#Bounty Alert:

100K sats for a great Coffee Shop name that is bitcoin/nostr related.

Name must still make sense to non-bitcoiners and non-nostr users. don't go super heavy, a play on words probably makes most sense.

Name must be catchy, clear, easy to say, 2 to 3 syllables max.

Think something clever like nostr:npub1key55ax33gkl50uqemvl4khrtqrhzm7wzpc7fhseutt5ddkcwcrqgxlt3h but since they have the best name ever. We are on the hunt for the next best name.

This is not a programming bounty. there are no criteria to be met here lol, but I will honor the bounty if I pick your name suggestion. Also it will become the name of the Cafe!

#CoffeeChain has been considered, but it is being used as a name for a shitcoin. so probably i'll have to skip, unless you think it doesn't matter.

Block Brew

Well nostr:npub1yx6pjypd4r7qh2gysjhvjd9l2km6hnm4amdnjyjw3467fy05rf0qfp7kza I don't know why you want these but here they are:

#modernhorrors

This love is and sounds delicious ! I have to try it ! 😋😋😋

"Delightful recipe for Miso-Glazed Eggplant (Nasu Dengaku), a classic Japanese dish that’s both simple and packed with flavor!"

Ingredients:

2 medium eggplants

3 tablespoons miso paste (red or white)

2 tablespoons mirin

1 tablespoon sugar (or honey/agave nectar)

1 tablespoon sake (or dry white wine)

1 clove garlic, minced

2 tablespoons canola oil

Green onions or sesame seeds for garnish (optional)

Instructions:

Preheat the Oven:

Preheat your oven to 400°F (200°C).

Prepare the Eggplants:

Cut the eggplants in half lengthwise. Score the flesh in a cross-hatch pattern, about ½ inch deep, to help the glaze penetrate better.

Brush the cut sides with canola oil and place them flesh side down on a baking sheet lined with foil.

Bake the Eggplants:

Bake the eggplants for 20-25 minutes until tender.

Prepare the Miso Glaze:

In a bowl, whisk together the miso paste, mirin, sugar, sake, and minced garlic until smooth.

Glaze the Eggplants:

Remove the eggplants from the oven and turn them over so the cut sides are facing up.

Spread the miso glaze evenly over the eggplants. Return to the oven and bake for an additional 5-10 minutes, or until the glaze is slightly caramelized.

Final Touches:

Once done, remove the eggplants from the oven and let them cool for a few minutes.

Garnish with green onions, sesame seeds, or shiso leaves if desired.

Tips:

For Grilling: Grill the eggplants instead of baking for a smoky flavor.

For Extra Tenderness: Add a lid while cooking to trap steam, making the eggplants softer.

Storing: Store leftovers in the fridge for up to 3 days or freeze for up to a month.

Enjoy this versatile dish as a side or main course with rice, or pair it with other Japanese favorites for a flavorful meal!

#RecipesIFind

Just met someone there who was getting Spanish lessons from a local! Good place to start looking -- probably orange pilled and probably easily purple pilled!

Cosy room with man in armchair and a blackboard sign behind him with the following text "I remember a free internet before it was hijacked".

black-forest-labs/FLUX.1-dev on Hugging Face

Yeah it's raw. Down and Out and Animal Farm are worth a read, too

My bad ... the units are different so can't plot them on the same graph in that way ... here's the updated code:

```python

import matplotlib.pyplot as plt

import numpy as np

import pandas as pd

import requests

currency = "USD"

response = requests.get(

f"https://mempool.space/api/v1/historical-price?currency={currency}"

)

data = response.json()

df = pd.DataFrame(data["prices"])

df["time"] = pd.to_datetime(df["time"], unit="s")

fig, ax1 = plt.subplots()

ax2 = ax1.twinx()

ax1.plot(df["time"], np.log2(df[currency]), color="Black", marker="o")

ax2.plot(df["time"], np.log10(df[currency]), color="#FF9900")

ax1.set_xlabel("Date")

ax1.set_ylabel(f"Log Base 2 Historical {currency} Price", color="Black")

ax2.set_ylabel(f"Log Base 10 Historical {currency} Price", color="#FF9900")

plt.show()

```

and the corresponding figure (i.e. it's the same shape):

ala

```python

import matplotlib.pyplot as plt

import numpy as np

import pandas as pd

import requests

currency = "USD"

response = requests.get(

f"https://mempool.space/api/v1/historical-price?currency={currency}"

)

data = response.json()

prices = data["prices"]

df = pd.DataFrame(prices)

df["time"] = pd.to_datetime(df["time"], unit="s")

plt.plot(df["time"], np.log2(df[currency]))

plt.ylabel(f"Historical {currency} Price [Log Base 2]")

plt.show()

```