Here's how DOCS.JAX.DEV makes money* and how much!

*Please read our disclaimer before using our estimates.
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DOCS . JAX . DEV {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Docs.jax.dev Make Money
  6. Keywords
  7. Topics
  8. External Links
  9. Libraries
  10. Hosting Providers

We are analyzing https://docs.jax.dev/en/latest/notebooks/thinking_in_jax.html.

Title:
How to think in JAX — JAX documentation
Description:
No description found...
Website Age:
4 years and 8 months (reg. 2020-11-01).

Matching Content Categories {📚}

  • Business & Finance
  • Non-Profit & Charity
  • Video & Online Content

Content Management System {📝}

What CMS is docs.jax.dev built with?

Custom-built

No common CMS systems were detected on Docs.jax.dev, but we identified it was custom coded using Bootstrap (CSS).

Traffic Estimate {📈}

What is the average monthly size of docs.jax.dev audience?

🚀 Good Traffic: 50k - 100k visitors per month


Based on our best estimate, this website will receive around 50,019 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.

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How Does Docs.jax.dev Make Money? {💸}

We can't see how the site brings in money.

Many websites are intended to earn money, but some serve to share ideas or build connections. Websites exist for all kinds of purposes. This might be one of them. Docs.jax.dev might be making money, but it's not detectable how they're doing it.

Keywords {🔍}

jax, operations, jit, numpy, static, function, arrays, array, import, jaxnumpy, traced, api, xla, values, def, return, compilation, jaxlax, dtypefloat, result, requires, jnp, terms, key, python, error, type, compiled, guides, data, code, concepts, immutable, expressed, convolution, operation, sequence, jaxjit, shape, tracing, neg, runtime, powerful, effectively, results, types, lax, promotion, inputs, note,

Topics {✒️}

dev/en/latest/_autosummary/jax dev/en/latest/errors standard floating-point accuracy implicitly promote arguments mixed data types jax api layering lower-level api updating individual elements indexed update syntax high-level wrapper automatic type promotion type promotion explicitly deep neural nets attempted boolean conversion i32[] = reduce_prod[axes= requires extra consideration simple neural network numpy-inspired interface jax transforms work traced values makes place item assignment multi-dimensional arrays allocating temporary arrays control flow statements line /tmp/ipykernel_3232/1983583872 jit-compiled case explicit promotion prints tracer objects array boolean indices time compiled version jit jit mechanics add requires arguments general convolution implemented plt import numpy unlike numpy arrays jnp import numpy jit-compiled function fundamental xla operations requires array shapes numerical data static argument results numpy api familiar interface powerful api errors import jax result = {result} key part jit compilation static variables static

Libraries {📚}

  • Bootstrap
  • Clipboard.js
  • Typed.js

Emails and Hosting {✉️}

Mail Servers:

  • aspmx.l.google.com
  • alt1.aspmx.l.google.com
  • alt2.aspmx.l.google.com
  • aspmx2.googlemail.com
  • aspmx3.googlemail.com

Name Servers:

  • ivan.ns.cloudflare.com
  • tegan.ns.cloudflare.com
5.37s.