Google Python Style Guide Google Python Style Guide Revision 2.59 Amit Patel Antoine Picard Eugene Jhong Jeremy Hylton Matt Smart Mike Shields Each style point has a summary for which additional information “toggle all” at the top of this document. Background Python is the main scripting language used at Google. This style guide is a list of dos and don’ts for Python programs. To help you format code correctly

Google Java Style Guide Google Java Style Guide 1 Introduction This document serves as the complete definition of Google’s coding standards for source code in the Java™ Programming Language. A Java Java source file is described as being in Google Style if and only if it adheres to the rules herein. Like other programming style guides, the issues covered span not only aesthetic issues of formatting, 2 Guide notes Example code in this document is non-normative. That is, while the examples are in Google Style, they may not illustrate the only stylish way to represent the code. Optional formatting choices

Google C++ Style Guide Google C++ Style Guide Background C++ is one of the main development languages used by many of Google’s open- source projects. As every C++ programmer knows, the language has conventions cover far more than just source file formatting. Most open-source projects developed by Google conform to the requirements in this guide. Note that this guide is not a C++ tutorial: we assume taste should prevail. By this we specifically refer to the established conventions of the entire Google C++ community, not just your personal preferences or those of your team. Be skep- tical about and

Google’s R Style Guide Google’s R Style Guide R is a high-level programming language used primarily for statistical computing and graphics. The goal of the R Programming Style Guide is to make our R share, and verify. The rules below were designed in collaboration with the entire R user community at Google. Summary: R Style Rules 1. File Names: end in .R 2. Identifiers: variable.name (or variableName) command on the same line. (Semicolons are not necessary, and are omitted for consistency with other Google style guides.) Organization General Layout and Ordering If everyone uses the same general ordering

translation, code generation, and code documentation or reasoning. Please feel free to refer to Google’s prompting guides2,3 with simple and effective prompting examples. When prompt engineering, you Snippet 1 I am using the langchain framework for Python, together with VertexAI (google-cloud-aiplatform) and the google-search-results pip packages. Prompt Engineering February 2025 38 To run this sample shows the result. Notice that ReAct makes a chain of five searches. In fact, the LLM is scraping Google search results to figure out the band names. Then, it lists the results as observations and chains

Weblate. List of services depends on Weblate configuration, but can include popular sites such as Google, Facebook, GitHub or Bitbucket. Avatar Weblate can be configured to show avatar for each user (depending backends Social authentication OpenID authentication GitHub authentication Bitbucket authentication Google OAuth2 Facebook OAuth2 LDAP authentication CAS authentication Access control Extra privileges translation text plurals differ Machine translation Machine translation setup Amagama Apertium Glosbe Google Translate Bing Translator MyMemory tmserver Weblate Custom machine translation Configuration ANONYMOUS_USER_NAME

Weblate. List of services depends on Weblate configuration, but can include popular sites such as Google, Facebook, GitHub or Bitbucket. Avatar Weblate can be configured to show avatar for each user (depending backends Social authentication OpenID authentication GitHub authentication Bitbucket authentication Google OAuth2 Facebook OAuth2 Gitlab OAuth2 LDAP authentication CAS authentication Access control Extra custom modules and classes Machine translation Machine translation setup Amagama Apertium Glosbe Google Translate Microsoft Translator Microsoft Cognitive Services Translator MyMemory tmserver Weblate

Weblate. List of services depends on Weblate configuration, but can include popular sites such as Google, Facebook, GitHub or Bitbucket. Avatar Weblate can be configured to show avatar for each user (depending backends Social authentication OpenID authentication GitHub authentication Bitbucket authentication Google OAuth2 Facebook OAuth2 LDAP authentication CAS authentication Access control Extra privileges translation text plurals differ Machine translation Machine translation setup Amagama Apertium Glosbe Google Translate Microsoft Translator Microsoft Cognitive Services Translator MyMemory tmserver Weblate

Weblate. List of services depends on Weblate configuration, but can include popular sites such as Google, Facebook, GitHub or Bitbucket. Avatar Weblate can be configured to show avatar for each user (depending backends Social authentication OpenID authentication GitHub authentication Bitbucket authentication Google OAuth2 Facebook OAuth2 Gitlab OAuth2 LDAP authentication CAS authentication Access control Extra text plurals differ Using custom modules and classes Machine translation Amagama Apertium Glosbe Google Translate Microsoft Translator Microsoft Cognitive Services Translator MyMemory tmserver Yandex Translate

Weblate. List of services depends on Weblate configuration, but can include popular sites such as Google, Facebook, GitHub or Bitbucket. Avatar Weblate can be configured to show avatar for each user (depending backends Social authentication OpenID authentication GitHub authentication Bitbucket authentication Google OAuth2 Facebook OAuth2 LDAP authentication CAS authentication Access control Extra privileges translation text plurals differ Machine translation Machine translation setup Amagama Apertium Glosbe Google Translate Microsoft Translator Microsoft Cognitive Services Translator MyMemory tmserver Weblate