Damien dtoma

Allow to filter by build (Q/W, Q/E...)
Centerer horizontally & vertically
Responsive (svg icons anywhere?)

Represent as a matrix?

QWE
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Incremental improvements

Clean repos

Clean up unused branches
Merge remaining branches incrementally

Checkout/build default to green

Ensure all repos can be cloned & built. Can be as simple as a cron job running a script like:

2019-04-12

trace:

This will print p1 and p2 then return ()

Prelude Debug.Trace> myFunc p1 p2 = traceShow (p1, p2) ()
Prelude Debug.Trace> myFunc 1 2
(1,2)

We can use an Applicative all the way:

Prelude> pure (*) <*> (Just 2) <*> (Just 3)
Just 6

But we can also use a Functor and then Applicative for the rest of the computation:

Prelude&gt; (*) &lt;$&gt; (Just 2) &lt;*&gt; (Just 3)

Lafrancaise

Publications

The common drivers behind alt risk premia’s difficult year

2019

L’origine de l’engouement des investisseurs pour les solutions « risk premia »

Problems with microservices

Dependencies

We have Projects A, B, and C. We have Team 1 and Team 2.

Project A (Team 1) depends on a library, version==1.1.0
Project B (Team 2) dependes on the same library, 1.0.0 < version < v1.2.0.
Project C (Team 2) depends on the same library, 1.0.0 < version < v1.2.0.
Project A depends on Project C. One day, Team 2 updates projects B and C's dependencies, making their version requirements version==1.3.0, in order to benefit from a bug fix.

Problems encountered while testing a Django app with pytest:

pytest-django Support cleanup between tests with multiple databases
pytest PY3 only: assumes that argument (from decorator) is a fixture
pytest Cleaning up tmpdir's

source source source

Delta

The delta is a ratio comparing the change in the price of an asset, usually a marketable security, to the corresponding change in the price of its derivative. For example, if a stock option has a delta value of 0.65, this means that if the underlying stock increases in price by $1 per share, the option on it will rise by $0.65 per share, all else being equal.

Delta values can be positive or negative depending on the type of option. For example, the delta for a call option always ranges from 0 to 1 because as the underlying asset increases in price, call options increase in price. Put option deltas always range from -1 to 0 because as the underlying security increases, the value of put options decrease. For example, if a put option has a delta of -0.33, if the price of the underlying asset increases by $1, the price

	data = pd.Series(...)
	highest_point = abs(data.max())
	lowest_point = abs(data.min())
	max_y = max(highest_point, lowest_point)

	# Expand to the nearest order of magnitude (throws if max_y==0)
	max_y = 10*int(math.log10(max_y))

	data.plot(ylim=(-max_y, max_y))

	tranche :: Int -> Int -> Float -> Int -> Float
	tranche min max taux revenu = if revenu > max then (max - min) * taux else (revenu - min) * taux

	tranches :: [Int]
	tranches = [0, 9807, 27086, 72617, 153783]

	rates :: [Float]
	rates = [0.0, 0.14, 0.30, 0.41, 0.45]

	-- Jusqu'à 9 807 euros 0 %