https://github.com/conda/conda/blob/main/CHANGELOG.md ##### 6.1 23.7.4 (2023-09-12) #### 6.1.1 Enhancements • Use os.scandir() to find conda subcommands without stat() overhead. (#13033, #13067) #### #### 6.4.2 Contributors • @jezdez • @kenodegard ##### 6.5 23.7.0 (2023-07-25) #### 6.5.1 Enhancements • Add conda.deprecations.DeprecationHandler.action helper to deprecate argparse.Actions.(#12493) Windows. (#12873) #### 6.7.2 Contributors • @kenodegard ##### 6.8 23.5.0 (2023-05-17) #### 6.8.1 Enhancements • Add conda doctor subcommand plugin. (#474) • Add Python 3.11 support. (#12256) • Add conda

SecurityMiddleware The Django.Middleware.Security.SecurityMiddleware provides several security enhancements to the request/response cycle. Each one can be independently enabled or disabled with a setting Security enhancements Several features of the Django-secure third-party library have been integrated into Django. Django.Middleware.Security.SecurityMiddleware provides several security enhancements to the BooleanField to print 1 or 0. ## Changes to the interpretation of max_num in FormSets As part of enhancements made to the handling of FormSets, the default value and interpretation of the max_num parameter

website PyTorch project This document provides information about the key features, software enhancements and improvements, known issues, and how to run this container. ### Chapter 2. Pulling A Container Learning Frameworks Support Matrix. ## Key Features and Enhancements This PyTorch release includes the following key features and enhancements. PyTorch container image version 23.07 is based on 2.1.0a0+b5021ba transformer-based language model has a segment-level recurrence and a novel relative positional encoding. The enhancements that were introduced in Transformer-XL help capture better long-term dependencies by attending

& PyData Development Team Jun 04,2017 # What’s New 3 1.1 v0.20.2 (June 4, 2017) 3 1.1.1 Enhancements 3 1.1.2 Performance Improvements 4 1.1.3 Bug Fixes 4 1.1.3.1 Conversion 4 1.1.3.2 Indexing keyword for data IO 10 1.2.1.3 .to_datetime() has gained an origin parameter 10 1.2.1.4 Groupby Enhancements 10 1.2.1.5 Better support for compressed URLs in read_csv 11 1.2.1.6 Pickle file I/O now supports 15 1.2.1.11 Excel output for styled DataFrames 16 1.2.1.12 IntervalIndex 17 1.2.1.13 Other Enhancements 18 1.2.2 Backwards incompatible API changes 21 1.2.2.1 Possible incompatibility for HDF5 formats

Categorical Concatenation 11 Semi-Month Offsets 11 New Index methods 12 Google BigQuery Enhancements 13 Fine-grained numpy errstate 13 get_dummies now returns integer dtypes 14 Downcast Downcast values to smallest possible dtype in to_numeric 14 pandas development API 14 Other enhancements 15 1.1.2 API changes 18 Series.tolist() will now return Python types 18 Series operators string indexing on DateTimeIndex when part of a MultiIndex 48 Assembling Datetimes 49 Other Enhancements 50 1.2.2 Sparse changes 51 1.2.3 API changes 52 .groupby(..).nth() changes 52 numpy function

2017) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.2.1 Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2.2 Performance to_datetime() has gained an origin parameter . . . . . . . . . . . . . . . 12 1.3.1.4 Groupby Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 1.3.1.5 Better support for . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 1.3.1.13 Other Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 1.3.2 Backwards incompatible

Improvements to the Parquet IO functionality . . . . . . . . . . . . . . . . . . . . 4 1.1.2.2 Other Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.1.3 Deprecations . . 1.8 Categorical.rename_categories accepts a dict-like . . . . . . . . . . . . 13 1.2.1.9 Other Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 1.2.2 Backwards incompatible 2017) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 1.4.1 Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 1.4.2 Performance

Categorical Concatenation 12 Semi-Month Offsets 13 New Index methods 14 Google BigQuery Enhancements 15 Fine-grained numpy errstate 15 get_dummies now returns integer dtypes 15 Downcast values values to smallest possible dtype in to_numeric 15 pandas development API 16 Other enhancements 17 1.2.2 API changes 19 Series.tolist() will now return Python types 19 Series operators for different indexing on DateTimeIndex when part of a MultiIndex ..... 49 Assembling Datetimes ..... 50 Other Enhancements ..... 51 1.3.2 Sparse changes ..... 52 1.3.3 API changes ..... 53 .groupby(...) .nth() changes