Kafka

Confluent’s Kafka Python Client

confluent-kafka-python provides a high-level Producer, Consumer and AdminClient compatible with all Apache KafkaTM brokers >= v0.8, Confluent Cloud and the Confluent Platform. The client is: Reliable – It’s a wrapper around librdkafka (provided automatically via binary wheels) which is widely deployed in a diverse set of production scenarios. It’s tested using the same set of system tests as the Java client and more. It’s supported by Confluent. Performant – Performance is a key design consideration. Maximum throughput is on par […]

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InfluxDB

Python client for InfluxDB

InfluxDB-Python is a client for interacting with InfluxDB. Development of this library is maintained by: InfluxDB is an open-source distributed time series database, find more about InfluxDB at https://docs.influxdata.com/influxdb/latest InfluxDB pre v1.1.0 users This module is tested with InfluxDB versions: v1.2.4, v1.3.9, v1.4.3, v1.5.4, v1.6.4, and 1.7.4. Those users still on InfluxDB v0.8.x users may still use the legacy client by importing from influxdb.influxdb08 import InfluxDBClient. Installation Install, upgrade and uninstall influxdb-python with these commands: $ pip install influxdb $ […]

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Database

Python interface to Oracle Database conforming to the Python DB API 2.0 specification

cx_Oracle is a Python extension module that enables access to Oracle Database. It conforms to the Python database API 2.0 specification with a considerable number of additions and a couple of exclusions. See the homepage for a feature list. cx_Oracle 8 has been tested with Python versions 3.6 through 3.9. You can use cx_Oracle with Oracle 11.2, 12c, 18c, 19c and 21c client libraries. Oracle’s standard client-server version interoperability allows connection to both older and newer databases. For example Oracle […]

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Redis

Python cluster client for the official redis cluster

This client provides a client for redis cluster that was added in redis 3.0. This project is a port of redis-rb-cluster by antirez, with a lot of added functionality. The original source can be found at https://github.com/antirez/redis-rb-cluster The branch master will always contain the latest unstable/development code that has been merged from Pull Requests. Use the latest commit from master branch on your own risk, there is no guarantees of compatibility or stability of non tagged commits on the master […]

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Python

Speed up your Conda installs with Mamba

Conda installs can be very very very slow. Every time you run conda install: It has to collect the package metadata. It has to solve the environment. … maybe you can take a coffee break here, or go work on a jigsaw puzzle to relax … It has to download packages. Eventually, finally, it will install the packages it downloaded. By the time this is all done you’ve probably forgotten what it was you were trying to do in the […]

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PyTorch

Lite Inference Toolkit (LIT) for PyTorch

PyTorch-LIT is the Lite Inference Toolkit (LIT) for PyTorch which focuses on easy and fast inference of large models on end-devices. With the rapid growth of deep learning research, models are becoming increasingly complex in terms of parameters and complexity, making it difficult to run the models on currently available end devices. For example, GPT-J with 6B parameters only needs 24 GB of RAM in full-precision mode to be ready for execution, which may be impossible in most systems; even […]

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Natural Language Processing

Word Of The Day based on Natural Language Toolkit

• This Project is based on NLTK(Natural Language Toolkit) • It generates a RANDOM WORD from predefined list of words • From that random word it read out the word, it’s meaning with parts of speech,it’s antonyms,its synonyms • Using Windows Task Scheduler we make this project to run when user logged on • For IELTS enthusiats, it’s a wonderful script to improve their fluency in english GitHub View Github    

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Parser

Web-server with the parser, connection to DBMS, and machine learning

Web-server with parser, connection to DBMS and machine learning. Team: Aisha Bazylzhanova(SE-2004), Arysbay Dastan(SE-2004) Installation To install, you need to download webserver.py, database.py and templates from the repository and save them in the same folder. Also you need to install Firefox browser and install geckodriver. Usage In database.py file you need to provide your data app.config[‘SQLALCHEMY_DATABASE_URI’] = ‘postgresql://YourUsername:[email protected]/NameOfYourDatabase’ In webServer.py file you need to provide your data

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