Skip to content
Signalcrest
Back to entity feed
dataentity · one source so far

scipy

for data scientists, python developers

Steadystackoverflow
Signal score
7
as of 35d ago
Live items
1
Trajectory
⏳ Too early
needs a few more snapshots

Why this scored 7

every term, weighted
Velocity+0.0 / 40

Its fastest-moving item, measured against the pace of its own source

Acceleration+12.0 / 25

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25

How many independent communities its own items come from

Recency+0.0 / 10

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty−5.0 / 30

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite7.0

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Signal history

7-day window (free)
Not enough history yet — the trend line fills in as snapshots accrue (every 30 min).

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 1
    27

    curve_fit() with multiple independent variables in integral function

    Using scipy.curve_fit with multi-variable integrals in Python scientific code. · for data scientists, python developers

    stackoverflowSteady 2 · pythondata41d ago
  2. 2
    17

    SciPy spsolve / SuperLU SUPERLU_MALLOC failure despite available RAM

    SuperLU memory bug hinders large sparse matrix solves, needing workarounds. · for scientific programmers, data engineers

    stackoverflowSteadydata60d ago
  3. 3
    15

    Understanding a certain condition for overlap-add method implemented in Scipy

    Scipy convolution method explained · for data scientists

    stackoverflowSteadydevtools75d ago
  4. 4
    14

    Is there a way to make scipy.optimize.minimize(method='trust-constr') accurate?

    Improving trust-constr optimizer accuracy benefits reliability of scientific computations. · for data scientists, research engineers

    stackoverflowSteadydata48d ago
  5. 5
    4

    How to properly deal with nan values when using scipy.stats.pearsonr?

    Handle nan values · for data scientists

    stackoverflowSteadydata101d ago