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python3-immutabledict-4.2.1-2.lbn36.noarch: Implements the complete mapping interface and can be used as a drop-in replacement for dictionaries where immutability is desired. The immutabledict constructor mimics dict, and all of the expected interfaces (iter, len, repr, hash, getitem) are provided.

python3-hdfs+kerberos-2.7.3-1.lbn36.noarch: This is a metapackage bringing in kerberos extras requires for python3-hdfs. It makes sure the dependencies are installed.

python3-google-analytics-admin-0.22.7-1.lbn36.noarch: Python Client for Analytics Admin |preview| |pypi| |versions|Analytics Admin_: allows you to manage Google Analytics accounts and properties.- Client Library Documentation_ - Product Documentation_.. |previe .. |pyp .. |versions| image::

python3-fastavro+zstandard-1.9.4-2.lbn36.x86_64: This is a metapackage bringing in zstandard extras requires for python3-fastavro. It makes sure the dependencies are installed.

python3-fastavro+lz4-1.9.4-2.lbn36.x86_64: This is a metapackage bringing in lz4 extras requires for python3-fastavro. It makes sure the dependencies are installed.

python3-fastavro-1.9.4-2.lbn36.x86_64: Because the Apache Python avro package is written in pure Python, it is relatively slow. In one test case, it takes about 14 seconds to iterate through a file of 10,000 records. By comparison, the JAVA avro SDK reads the same file in 1.9 seconds. The fastavro library was written to offer performance comparable to the Java library. With regular CPython, fastavro uses C extensions which allow it to iterate the same 10,000 record file in 1.7 seconds. With PyPy, this drops to 1.5 seconds (to be fair, the JAVA benchmark is doing some extra JSON encoding/decoding). Supported Features • File Writer • File Reader (iterating via records or blocks) • Schemaless Writer • Schemaless Reader • JSON Writer • JSON Reader • Codecs (Snappy, Deflate, Zstandard, Bzip2, LZ4, XZ) • Schema resolution • Aliases • Logical Types • Parsing schemas into the canonical form • Schema fingerprinting Missing Features • Anything involving Avro’s RPC features

librdkafka-2.4.0-1.lbn36.x86_64: Librdkafka is a C/C++ library implementation of the Apache Kafka protocol, containing both Producer and Consumer support. It was designed with message delivery reliability and high performance in mind, current figures exceed 800000 messages/second for the producer and 3 million messages/second for the consumer.

python3-qdrant-client-1.10.1-1.lbn36.noarch: Python Client library for the Qdrant vector search engine. Python Qdrant Client Client library and SDK for the Qdrant vector search engine. Python Client API Documentation is available here. Library contains type definitions for all Qdrant API and allows to make both Sync and Async requests. Client allows calls for all Qdrant API methods directly. It also provides some additional helper methods for frequently required operations, e.g. initial collection uploading. See QuickStart for more details! Installation pip install qdrant-client Features Type hints for all API methods Local mode - use same API without running server REST and gRPC support Minimal dependencies Extensive Test Coverage Local mode Python client allows you to run same code in local mode without running Qdrant server. Simply initialize client like this: from qdrant_client import QdrantClient client = QdrantClient(":memory:") client = QdrantClient(path="path/to/db") # Persists changes to disk Local mo

python3-pymysql-1.1.1-1.lbn36.noarch: PyMySQL This package contains a pure-Python MySQL client library, based on PEP249.

python3-pymssql-2.3.0-3.lbn36.x86_64: A simple database interface for Python that builds on top of FreeTDS to provide a Python DB-API (PEP-249) interface to Microsoft SQL Server.

python3-pykerberos-1.2.4-1.lbn36.x86_64: This Python package is a high-level wrapper for Kerberos (GSSAPI) operations. The goal is to avoid having to build a module that wraps the entire Kerberos.framework, and instead offer a limited set of functions that do what is needed for client/server Kerberos authentication based on <

python3-pyhive+presto-0.7.0-1.lbn36.noarch: This is a metapackage bringing in presto extras requires for python3-pyhive. It makes sure the dependencies are installed.

python3-pyhive+hive_pure_sasl-0.7.0-1.lbn36.noarch: This is a metapackage bringing in hive_pure_sasl extras requires for python3-pyhive. It makes sure the dependencies are installed.

python3-pyhive+hive-0.7.0-1.lbn36.noarch: This is a metapackage bringing in hive extras requires for python3-pyhive. It makes sure the dependencies are installed.

python3-pyhive-0.7.0-1.lbn36.noarch: PyHive is a collection of Python DB-API <and SQLAlchemy ierfaces for Presto and Hive

python3-py4j-0.10.9.7-1.lbn36.noarch: Py4J enables Python programs running in a Python interpreter to dynamically access Java objects in a Java Virtual Machine. Methods are called as if the Java objects resided in the Python interpreter and Java collections can be accessed through standard Python collection methods. Py4J also enables Java programs to call back Python objects. Py4J is distributed under the BSD license. This package is for usage with Python3 version 3.10 only.

python3-annotated-types-0.6.0-1.lbn36.noarch: annotated-types PEP-593 added typing.Annotated as a way of adding context-specific metadata to existing types, and specifies that Annotated[T, x] should be treated as T by any tool or library without special logic for x. This package provides metadata objects which can be used to represent common constraints such as upper and lower bounds on scalar values and collection sizes, a Predicate marker for runtime checks, and descriptions of how we intend these metadata to be interpreted. In some cases, we also note alternative representations which do not require this package. Install pip install annotated-types Examples from typing import Annotated from annotated_types import Gt, Len, Predicate class MyClass: age: Annotated[int, Gt(18)] # Valid: 19, 20, ... factors: list[Annotated[int, Predicate(is_prime)]] # Valid: 2, 3, 5, 7, 11, ...

python3-pss-1.45-1.lbn36.noarch: pssIntroduction: what is pss? --**pss** is a power-tool for searching inside source code files. **pss** searches recursively within a directory tree, knows which extensions and file names to search and which to ignore, automatically skips directories you wouldn't want to search in (for example .git or .svn), colors its output in a helpful way, and does much more.If you're familiar with the...

python3-apache-superset+vertica-4.1.2-1.lbn36.noarch: This is a metapackage bringing in vertica extras requires for python3-apache-superset. It makes sure the dependencies are installed.

python3-apache-superset+trino-4.1.2-1.lbn36.noarch: This is a metapackage bringing in trino extras requires for python3-apache-superset. It makes sure the dependencies are installed.


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