Bots

Bots are software programs that combine requests, which are typically provided as text, with contextual data, such as geolocation and payment information, to appropriately handle the request and respond. Bots are often also called "chatbots", "assistants" or "agents."

Open source Slack bot examples

  • Limbo is an awesome Slack chatbot that provides a base for Python code that otherwise would require boilerplate to handle the Slack API events firehose.

  • python-rtmbot is the bot framework for building Slack bots with the Real Time Messaging (RTM) API over WebSockets.

Python-specific Bots resources

Additional Bots resources

  • Slack bot token leakage exposing business critical information is a detailed look at a search on GitHub for Slack tokens that are used mostly for bots but must be kept secret. Otherwise those tokens expose the entire Slack team's messaging to outside parties.

  • The Economist wrote a general piece on why bots look like they'll gain adoption in various market segments. The piece doesn't have much technical depth but it's a good overview of how some businesses are looking at the opportunity.

  • Bots won't replace apps is a fantastic piece by WeChat's product manager on how text-based bots alone typically do not provide a good user experience. Instead, chat apps with automated responses, user data and basic web browser functionality are what has allowed bot concepts to bloom in Asian markets. There's a lot of good information in this post to unpack.

What else would you like to learn about Python?

I want to know about working with data in Python.

I've built a Python web app, now how do I deploy it?

Why is Python a good programming language to use?

Sign up for two emails per month with Python tutorials and Full Stack Python updates.

Sponsored By

Rollbar logo

Fix errors in your Python code before your users see them by monitoring with Rollbar.


Mapbox logo.

Easily build maps, search and navigation into your Python applications with Mapbox.


Real Python logo

Upgrade your Python skills by reading Real Python's awesome programming email newsletter.

Full Stack Python

Full Stack Python is an open book that explains concepts in plain language and provides helpful resources for those topics.
Updates via newsletter, Twitter & Facebook.
1. IntroductionLearning ProgrammingCore LanguageWhy Use Python?Python 2 or 3?Enterprise PythonPython CommunityCompanies using PythonBest Python ResourcesBest Python VideosBest Python Podcasts2. Development EnvironmentsText Editors & IDEsVimEmacsSublime TextPyCharmJupyter NotebookShellsBash shellZshPowerShellTerminal MultiplexerstmuxScreenPymuxEnvironment configurationApplication DependenciesVirtualenvsEnvironment variablesLocalhost tunnelsSource ControlGitMercurialApache SubversionHosted Source ControlGitHubBitBucketGitLab3. DataRelational DatabasesPostgreSQLMySQLSQLiteObject-relational MappersSQLAlchemyPeeweeDjango ORMSQLObjectPony ORMNoSQL Data StoresRedisMongoDBApache CassandraNeo4jData analysispandasNumPySciPyBokehd3.jsMatplotlibMarkdown4. Web DevelopmentWeb FrameworksDjangoFlaskBottlePyramidFalconMorepathSanicOther Web FrameworksTemplate EnginesJinja2MakoDjango TemplatesWeb DesignHTMLCascading Style Sheets (CSS)Responsive DesignMinificationCSS FrameworksBootstrapFoundationJavaScriptTask QueuesCeleryRedis Queue (RQ)DramatiqStatic Site GeneratorsPelicanLektorMkDocsTestingUnit TestingIntegration TestingCode MetricsDebuggingWebSocketsuvloopWeb APIsMicroservicesBotsAPI CreationAPI IntegrationTwilioSecurity5. DeploymentServersStatic ContentVirtual Private ServersPlatform-as-a-ServiceOperating SystemsUbuntuWeb ServersApache HTTP ServerNginxCaddyWSGI ServersGreen Unicorn (Gunicorn)Continuous IntegrationJenkinsConfiguration ManagementAnsibleDockerServerlessAWS LambdaGoogle Cloud Functions6. DevOpsMonitoringRollbarCachingLoggingWeb AnalyticsChange LogWhat Full Stack MeansAbout the AuthorFuture DirectionsPage Statuses ...or view all topics.

Matt Makai 2012-2018