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* Add qsv Sub-section and GitHub for Beginners guide * Add qsv, qsv pro & setup, qsv web, & GitHub setup Co-authored-by: Abdurrahman <mabdurrahman303@gmail.com> * chore: remove section --------- Co-authored-by: Abdurrahman <mabdurrahman303@gmail.com>
48 lines
2.1 KiB
Text
48 lines
2.1 KiB
Text
# ⚡ qsv
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Meet **qsv**, your new command line tool for data wrangling!
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## 💭 What's qsv?
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qsv is a command line tool with 50+ commands that can perform data wrangling tasks in a relatively efficient manner.
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For example, if I had a csv file that looked like this:
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```csv title=prices.csv
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id,fruit,cost
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1,apple,5.00
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2,banana,10.00
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3,celery,2.00
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```
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Then I can use qsv to perform all sorts of commands based on the data. Maybe I want to simply count how many rows there are (not including the header row). I can run:
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```bash
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qsv count prices.csv
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```
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And the output would be `3`. But I can add flags for even more options like additionally getting the number of characters in the longest row by adding `--width` (e.g., `qsv count prices.csv --width`), and other commands also have subcommands!
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## ✨ Cool Features
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- **50+ commands:** There's plenty of options for users for all sorts of backgrounds to use qsv in their workflow
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- **Blazingly fast:** qsv is built primarily with the Rust programming language, offering fast speeds even for very large datasets
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- **Mix and match:** Combine different qsv commands and integrate qsv with other tools to enhance data wrangling
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## 🛠 Install qsv
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1. [Install qsv](/onboarding/qsv-setup).
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2. Once installed, run `qsv --list` to list the commands available to you, and you can further learn about them by running `qsv <command> --help` where `<command>` is the command you want to learn about (e.g., `qsv count --help`).
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3. Try running qsv commands on your files!
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## 📊 Your first command: `qsv count`
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Navigate to your desired `.csv` file on the terminal and try typing `qsv count <filename>` (where `<filename>` is the name of your file) and see what happens!
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See if you can try following along in [the intro-to-count.ipynb notebook](https://nbviewer.org/github/jqnatividad/qsv/blob/master/contrib/notebooks/intro-to-count.ipynb).
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## 🚀 Ready for some data wrangling?
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That's just the beginning! Explore more commands, use qsv to perform various transformations, and have fun wrangling data with qsv!
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Remember, qsv can help make data exciting and easy, even if you're just starting on your data journey!
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