An advanced API client for python bot traderes.

The Python Toolbox for Robotics

PyBotNet: A Remote Control Framework for Python with Telegram Integration

A simple DDoS botnet with basic authentication system written in Python

Pythonic Interface for AWS boto3 that gives you autocomplete on every service

Python module for interacting with Neato Botvac Connected vacuum robots.

Pybot can change the way learners try to learn python programming language in a more interactive way. This chatbot will try to solve or provide answer to almost every python related issues or queries that the user is asking for. We are implementing NLP for improving the efficiency of the chatbot. We will include voice feature for more interactivity to the user. By utilizing NLP, developers can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic segmentation. NLTK has been called “a wonderful tool for teaching and working in, computational linguistics using Python,” and “an amazing library to play with natural language.The main issue with text data is that it is all in text format (strings). However, the Machine learning algorithms need some sort of numerical feature vector in order to perform the task. So before we start with any NLP project we need to pre-process it to make it ideal for working. Converting the entire text into uppercase or lowercase, so that the algorithm does not treat the same words in different cases as different Tokenization is just the term used to describe the process of converting the normal text strings into a list of tokens i.e words that we actually want. Sentence tokenizer can be used to find the list of sentences and Word tokenizer can be used to find the list of words in strings.Removing Noise i.e everything that isn’t in a standard number or letter.Removing Stop words. Sometimes, some extremely common words which would appear to be of little value in helping select documents matching a user need are excluded from the vocabulary entirely. These words are called stop words.Stemming is the process of reducing inflected (or sometimes derived) words to their stem, base or root form — generally a written word form. Example if we were to stem the following words: “Stems”, “Stemming”, “Stemmed”, “and Stemtization”, the result would be a single word “stem”. A slight variant of stemming is lemmatization. The major difference between these is, that, stemming can often create non-existent words, whereas lemmas are actual words. So, your root stem, meaning the word you end up with, is not something you can just look up in a dictionary, but you can look up a lemma. Examples of Lemmatization are that “run” is a base form for words like “running” or “ran” or that the word “better” and “good” are in the same lemma so they are considered the same.

Research tools for autonomous systems in Python

Python framework for creating and deploying Twitter bots.

Bot for Ragnarok Online

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Simple HTTP Pull Botnet with a very cool Web Based C&C Panel

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A little python framework for building bots and smartapps for eXpress

Operation Code's Official Slackbot

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Resources for Slack Bots in Python

Python Robotic Process Automation Library

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Bot framework in Python with programmable interfaces and dynamic plug-in architecture.

Pybott-Covid-Selftracking

Python Discord Bot 基礎骨架

A computer-vision based python tool for player-automation in the AMMORPG game 'Lost Ark'. Modules target automation of waypoint pathfinding and skills usage, and include a HUD.

Cron-like system based on Nextdoor Scheduler, PyBots and Tinyscript

:wrench: Devkit for quickly creating client bots for remote communications

A microservice supporting PyBot, Resources API, and other features that the official back-end does not manage.

A Python bot framework using the Microsoft Bot Framework REST API

A simple nextcloud talk bot

Pybott kerrytracking api