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Releases: QuantEcon/QuantEcon.py

v0.8.2

21 Jul 07:19
29428d9
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What's Changed

  • FIX: lcp_lemke: Fix bug in first iteration by @oyamad in #769
  • FIX: Update solve_discrete_riccati by @oyamad in #772
  • Fix: Readme to have stable vs latest py badges by @thynash in #770
  • MAINT: Add documentation badges (stable/latest) by @oyamad in #773
  • MAINT: Update README.md by @oyamad in #774
  • CI: Add Python 3.13, drop 3.10 by @oyamad in #775
  • DOC, FIX: Correct docstring for linprog_simplex by @oyamad in #778
  • RLS: setup for v0.8.2 by @mmcky in #779

New Contributors

Full Changelog: v0.8.1...v0.8.2

v0.8.1

06 Jun 03:55
34f4a47
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What's Changed

  • RFC: game_theory: Use numba.typed.Dict in _vertex_enumeration_gen by @oyamad in #766
  • RLS: setup for v0.8.1 by @mmcky in #767

Full Changelog: v0.8.0...v0.8.1

v0.8.0

13 Feb 00:14
23a8a9b
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What's Changed

New Contributors

Full Changelog: v0.7.2...v0.8.0

14th March 2024

14 Mar 02:54
85c06b5
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What's Changed

New Contributors

Full Changelog: v0.7.1...v0.7.2

JOSS PAPER: 06th December 2023

06 Dec 05:23
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This release is to support the JOSS paper.

JOSS PAPER: 04th December 2023

03 Dec 23:42
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This release is to support the JOSS paper.

v0.7.1

30 May 06:34
8dbd7b2
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Ver 0.7.1 (29-May-2023)

This is a minor release with bug fixes and improvements to documentation.

Fix

  1. Fix for #704

Thank you to oyamad, HengchengZhang for your contributions

v0.7.0

24 Apr 09:05
67fe704
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v0.6.0

18 Dec 00:11
8436619
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Ver 0.6.0 (18-December-2022)

This is the next major release of the quantecon package as it includes some breaking changes as listed below. It also
includes a number of new features and enhancements including learning algorithms in the game theory module, MLE estimation
for Markov Chains, in addition to some useful helper functions.

PR #601: Updates to public and private API
includes some deprecations which will issue warnings and a helpful suggestion on how to
update any effected imports from the quantecon package.

Breaking

  1. MAINT: Unify tauchen and rouwenhorst API (Smit-create)

New

  1. ENH: Add MLE Estimation for Markov Chains (jstac)
  2. ENH: Implement cartesian_nearest_index (oyamad)
  3. ENH: check_random_state: Accept np.random.Generator (oyamad)
  4. ENH: Add learning algorithms to Game Theory module (Yuya-Furusawa)

Fixes

  1. FIX: Fix dtype in cartesian (oyamad)
  2. FIX: Bugfix in brd.py (oyamad)
  3. MAINT: player.is_dominated: Allow recent methods for scipy.optimize.linprog (oyamad)
  4. MAINT: Distinguish between private and public namespaces (Smit-create).
  5. MAINT: Clairfy hamilton_filter API (rht)

Thank you to (oyamad), (jstac), (Smit-create),
(rht), and (Yuya-Furusawa) for all your contributions, PR reviews, and comments.

v0.5.3

07 Apr 07:27
97cebb4
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Ver 0.5.3 (07-April-2022)

This is primarily a maintenance release to fix a number of deprecation notices, migrating the tests to use pytest rather than nose, and python packaging is moving to flit

Enhancement:

  1. ENH: Vectorize ECDF's call method (Smit-create)

Thanks Smit-create as a first time contributor to the project, and oyamad for your assistance with this release.