semvec/pypi-packages huggingface dataset:
langchain-classic 1.0.1
Building applications with LLMs through composability
License: MIT
Requires Python: <4.0.0,>=3.10.0

# 🦜️🔗 LangChain Classic

[![PyPI - Version](https://img.shields.io/pypi/v/langchain-classic?label=%20)](https://pypi.org/project/langchain-classic/#history)
[![PyPI - License](https://img.shields.io/pypi/l/langchain-classic)](https://opensource.org/licenses/MIT)
[![PyPI - Downloads](https://img.shields.io/pepy/dt/langchain-classic)](https://pypistats.org/packages/langchain-classic)
[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchainai.svg?style=social&label=Follow%20%40LangChainAI)](https://twitter.com/langchainai)

Looking for the JS/TS version? Check out [LangChain.js](https://github.com/langchain-ai/langchainjs).

To help you ship LangChain apps to production faster, check out [LangSmith](https://smith.langchain.com).
[LangSmith](https://smith.langchain.com) is a unified developer platform for building, testing, and monitoring LLM applications.

## Quick Install

```bash
pip install langchain-classic
```

## 🤔 What is this?

Legacy chains, `langchain-community` re-exports, indexing API, deprecated functionality, and more.

In most cases, you should be using the main [`langchain`](https://pypi.org/project/langchain/) package.

## 📖 Documentation

For full documentation, see the [API reference](https://reference.langchain.com/python/langchain_classic). For conceptual guides, tutorials, and examples on using LangChain, see the [LangChain Docs](https://docs.langchain.com/oss/python/langchain/overview).

## 📕 Releases & Versioning

See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.

## 💁 Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
xlsxgrep 0.0.32
CLI tool to search text in XLSX, XLS, XLSM, CSV, TSV and ODS files. It works similarly to Unix\GNU Linux grep.
License: MIT

## Owerview

*xlsxgrep* is a CLI tool to search text in XLSX, XLS, XLSM, CSV, TSV and ODS files. It works similarly to Unix/GNU Linux *grep*.

## Features

- Grep compatible: xlsxgrep tries to be compatible with Unix/Linux grep, where it makes sense.
  Some of grep options are supported (such as `-r`, `-i`  or `-c`).

- Search many XLSX, XLS, XLSM, CSV, TSV and ODS files at once, even recursively in directories.

- Regular expressions: Python regex.

- Supported file types: csv, ods, tsv, xls, xlsx, xlsm.

- Works on all major platforms: Windows, macOS, BSD and Linux,

## Usage:
```

usage: xlsxgrep [-h] [-V] [-P] [-F] [-i] [-w] [-c] [-r] [-H] [-N] [-l] [-L] [-S SEPARATOR]
                [-Z] [-d] PATTERN FILE [FILE ...]

positional arguments:
  PATTERN                   use PATTERN as the pattern to search for.
  FILE                      file or folder location.

optional arguments:
  -h, --help	            show this help message and exit.
  -V, --version	            display version information and exit.
  -P, --python-regex        PATTERN is a Python regular expression. This is the default.
  -F, --fixed-strings       interpret PATTERN as fixed strings, not regular expressions.
  -i, --ignore-case         ignore case distinctions.
  -w, --word-regexp         force PATTERN to match only whole words.
  -c, --count               print only a count of matches per file.
  -r, --recursive           search directories recursively.
  -H, --with-filename       print the file name for each match.
  -N, --with-sheetname      print the sheet name for each match.
  -l, --files-with-match    print only names of FILEs with match pattern.
  -L, --files-without-match print only names of FILEs with no match pattern.
  -S SEPARATOR, --separator SEPARATOR define custom list separator for output, the 
                            default is TAB.
  -Z, --null                output a zero byte (the ASCII NUL character) instead of the
                            usual newline.

```

## Examples:
```sh
xlsxgrep -i "foo" foobar.xlsx
```
```sh
xlsxgrep -c -H "(?i)foo|bar" /folder
```
## Installation

```sh
pip install xlsxgrep
```