Are you as curious (and nerdy πŸ€“) as I am? πŸ€”

If you are, you are going to love what I'm about to show you 🀯

Let's build a Python 🐍 quine: a program that prints itself!

This thread walks you through the process of building the quine you can see here.

πŸ‘‡πŸ§΅
If we want a program that _prints_ itself, we need to start with a print statement:

```
print()
```

When we run this program, a single newline gets printed as output.

But we want a program that prints itself, right?

So let's try putting the program in the `print`.
For that, we try opening " inside the `print` and we start typing the program, itself, inside the string:

```
print("print()")
```

This outputs

```
print()
```

But now our program grew, so we need to keep up with it inside the string.
The code

```
print("print(\"print()\")")
```

produces

```
print("print()")
```

But this is starting to look like a wild goose chase.

The number of prints in the input is always larger than the number of prints on the output.

We need another way of making the output larger.
We need to be able to _reuse_ what we type, otherwise we will always print less than what we typed in the program.

Ok, so let's initialise a string variable and try printing it:

```
s = "print(s)"
print(s)
```

outputs

```
print(s)
```

Doesn't look like we made any progress!
Except, now we can use string formatting to use the string `s` twice, but we only type it once in our source code!

We can try printing `s` twice, with a newline in the middle, because our source code also spans over two lines:

```
s = "print(s)"
print(f"{s}\n{s}")
```

Prints:
```
print(s)
print(s)
```

We need to update `s` to reflect the print statement we have.

Because of nested ", let's intercalate single and double quotes:

```
s = 'print(f"{s}\\n{s}")'
print(f"{s}\n{s}")
```

This produces:

```
print(f"{s}\n{s}")
print(f"{s}\n{s}")
```
This is looking promising!

Now we need the first line of output to look like the assignment statement to `s`.

Let's sprinkle some 's = ':

```
s = 'print(f"s = {s}\\n{s}")'
print(f"s = {s}\n{s}")
```

Prints:

```
s = print(f"s = {s}\n{s}")
print(f"s = {s}\n{s}")
```
We are SO CLOSE!

The issue now is that the first line of output is missing the quotes around the assignment and the \\ because of the escaped newline character...

This is actually easier to solve than it might sound if you know how to use `repr`:

mathspp.com/blog/pydonts/s…
When doing string formatting, using '!r' outputs the `repr` of an object instead of its `str`:

```
s = 'print(f"s = {s!r}\\n{s}")'
print(f"s = {s!r}\n{s}")
```

This prints..:

```
s = 'print(f"s = {s!r}\\n{s}")'
print(f"s = {s!r}\n{s}")
```

The output matches source 100%!!!
I hope you enjoyed this thread!

If you did, follow me (@mathsppblog) for more content like this ;)

Also, retweet the beginning of the thread so more people can build their first quine!!

See you next time πŸ‘‹

β€’ β€’ β€’

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More from @mathsppblog

17 Sep
πŸ€” Do you ever write some Python 🐍, look at it, and get the feeling there MUST be a better ✨ way to do that..?

I get that ALL the time! πŸ˜…

That's why I started researching and writing articles to help me (and you!) write better code.

Here's all 28 of them (so far!) πŸ‘‡πŸ§΅
I have also been compiling all the articles into an eBook πŸ“–, that I am "selling" for free πŸ’Έ.

Why?

I decided to make it free because that's how I learned Python: from free books and articles, available online.

Here's the link to the free book:

gum.co/pydonts
01 - Pydon't disrespect the Zen of Python

If you type `import this` in a Python REPL, you will be presented with the Zen of Python, a document with some guidelines that you can follow when writing code.

It's not a religion!

Just some guidelines :)

mathspp.com/blog/pydonts/p…
Read 32 tweets
9 Sep
Have you ever had a hard time debugging 🐞 a Python 🐍 script?

If you say you haven't, you're lying! πŸ˜†

Let me show you something that you're gonna love me for!

Run your script with the `-i` flag!

By doing so, you get a REPL when the script finishes, EVEN with errors πŸ’£

1/4
Let me show you an example.

Below is a piece of code I wrote in a script called `foo`.

If you look closely, you'll see I'm generating 100 random integers...

All of them between 0 and... 0! So I'll generate 100 zeroes (my bug).

Later, a 0/0 division will throw an error.

2/4
When I run the code with the `-i` flag, the terminal shows the error and immediately opens a REPL!

From within the REPL I can inspect my variables and figure out what went wrong!

Isn't this amazing ⁉

3/4
Read 5 tweets
8 Sep
Have you ever tried to optimise your Python 🐍 code, but weren't able to tell which alternative implementation was faster?

Let me teach you how to use the `timeit.timeit` method to measure execution time of small code snippets.

A thread πŸ‘‡πŸ§΅
If you have a snippet of code you want to time, you can use the command line to measure its execution time.

For example, how long does it take for Python 🐍 to add up the first 10,000 integers?

Using the command `python -m timeit`, I get that it takes 189 microseconds.
The execution of `python -m timeit` reports some more info:

β€œ2000 loops, best of 5: ...”

I'll explain what that means, but first let me show you how to use `timeit` in your code.

(Oh, btw, there's a MUCH better way to add consecutive integers! πŸ‘‡)
Read 23 tweets
8 Sep
Did you know that Python 🐍 supports keyword argument unpacking?

What's that?

If you have a function that accepts a series of arguments: `arg1`, `arg2`, ...

And if you have a dictionary with keys named `arg1`, `arg2`, ...

Then you can use the dict's values as arguments: Image
The `**` in front of `kwargs` does the unpacking in the function call.

`my_func(kwargs)` – this calls `my_func` with a single argument, the `kwargs` variable (a dictionary in the image above)

...
`my_func(**kwargs)` – this calls `my_func` with one named argument for each (key, value) pair in the dictionary.

E.g., in the above,

`my_func(**kwargs)` unpacks to `my_func(a=73, b="hey!", c=(1, 10))`.
Read 4 tweets
7 Sep
@svpino Hey Santiago! I'd just like to clarify something for the readers of this thread:

The formula

P(A or B or C) = P(A) + P(B) + P(C) - P(A and B and C) is NOT β€Ό true in general.

The result works here because the events are mutually exclusive and P(A and B and C) = 0

1/
@svpino But the actual general formula is

P(A or B or C) = P(A) + P(B) + P(C) - P(A and B) - P(B and C) - P(A and C) + P(A and B and C)

You can read up on the inclusion-exclusion principle, which explains this: πŸ”— en.wikipedia.org/wiki/Inclusion…

This can also be explained visually:

2/
@svpino Checking the overlaps below πŸ‘‡

The ellipsis (representing the events) can overlap all over the place, and we CANNOT overcount the overlaps!

So, we need to remove the pairwise overlaps:

A and B
A and C
B and C

But when we do that, we over-subtract the final intersection,

3/
Read 4 tweets
2 Sep
Have you ever seen anything like this in Python 🐍 loops??

I just saw this being used for the first time, ever, and I decided to figure out what the heck this was...

And so here goes the explanation πŸ‘‡πŸ§΅

1/
Foreword:

Python has many amazing capabilities to deal with `for` loops, among which you can count the `zip` and `enumerate` built-ins.

This little thread assumes you are familiar with both.

Read these if you need:
πŸ”—Β mathspp.com/blog/pydonts/e…
πŸ”—Β mathspp.com/blog/pydonts/z…

2/
When using `zip` and `enumerate` in your `for` loops, something you do often is to unpack the values you are iterating over.

Unpacking, in and out of itself, is an amazing feature of Python, and you can read about it in the linked article if needed.

mathspp.com/blog/pydonts/d…

3/
Read 10 tweets

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