๐Ÿ”ฅ
Exploratory Data Analysis (EDA)
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  • ๐Ÿ‘‹Welcome!
  • Course Content
    • 1. Introduction
      • EDA: Uncovering Insights and Patterns
      • Why EDA?
      • Importance of EDA
      • The role of EDA in the data analysis process
      • A Comprehensive Examination
      • Code & Practice
      • Basic Concept
    • 2. Fundamentals
      • Lifecycle
        • Data Science
        • EDA
    • 3. Dataset Selection and Understanding
      • Kaggle
      • Github
    • 4. Data Cleaning and Preprocessing
    • 5. Techniques and Approaches
      • Types of EDA
    • 6. Data Visualization
    • 7. Statistical Measures and Hypothesis Testing
    • 9. Case Studies
    • 11. Best Practices and Tips for Effective EDA
    • 12. Future Trends and Emerging Technologies
  • Dataset
    • โ„น๏ธKaggle
  • Tools and Software
    • โœจData Analysis Tools
    • ๐ŸPython Library
      • ๐ŸผPandas
      • ๐ŸงŠNumpy
      • ๐Ÿ“ŠMatplotlib
      • ๐Ÿ“ˆSeaborn
      • ๐Ÿ“ถPlotly
      • ๐ŸคนSciPy
      • ๐Ÿ’ซStatsmodels
      • ๐Ÿ‘‚Scikit-learn
      • ๐Ÿ—ณ๏ธYellowbrick
    • โ›๏ธPython tools
    • ยฎ๏ธยฎ ยฎ ยฎ The R Project
    • ๐ŸŒ€Data Exploration
    • ๐ŸŽฏData Quality
    • ๐Ÿ“”Data Profiling
    • ๐Ÿ“บVisualization
  • Tech Exploration
    • ๐ŸŽฌYoutube
    • โ˜๏ธGithub
    • ๐Ÿ”ฌLab
    • ๐Ÿ’ผCase Study
  • Reference
    • API Reference
      • Pets
      • Users
      • Quick Start
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On this page
  • Get your API keys
  • Install the library
  • Make your first request
  • Create pet.
  1. Reference
  2. API Reference

Quick Start

Good to know: A quick start guide can be good to help folks get up and running with your API in a few steps. Some people prefer diving in with the basics rather than meticulously reading every page of documentation!

Get your API keys

Your API requests are authenticated using API keys. Any request that doesn't include an API key will return an error.

You can generate an API key from your Dashboard at any time.

Install the library

The best way to interact with our API is to use one of our official libraries:

# Install via NPM
npm install --save my-api
# Install via pip
pip install --upgrade myapi

Good to know: Using tabs to separate out different languages is a great way to present technical examples or code documentation without cramming your docs with extra sections or pages per language.

Make your first request

To make your first request, send an authenticated request to the pets endpoint. This will create a pet, which is nice.

Create pet.

POST https://api.myapi.com/v1/pet

Creates a new pet.

Request Body

Name
Type
Description

name*

string

The name of the pet

owner_id

string

The id of the user who owns the pet

species

string

The species of the pet

breed

string

The breed of the pet

{
    "name"="Wilson",
    "owner": {
        "id": "sha7891bikojbkreuy",
        "name": "Samuel Passet",
    "species": "Dog",}
    "breed": "Golden Retriever",
}

Good to know: You can use the API Method block to fully document an API method. You can also sync your API blocks with an OpenAPI file or URL to auto-populate them.

Take a look at how you might call this method using our official libraries, or via curl:

curl https://api.myapi.com/v1/pet  
    -u YOUR_API_KEY:  
    -d name='Wilson'  
    -d species='dog'  
    -d owner_id='sha7891bikojbkreuy'  
// require the myapi module and set it up with your API key
const myapi = require('myapi')(YOUR_API_KEY);

const newPet = away myapi.pet.create({
    name: 'Wilson',
    owner_id: 'sha7891bikojbkreuy',
    species: 'Dog',
    breed: 'Golden Retriever',
})
// Set your API key before making the request
myapi.api_key = YOUR_API_KEY

myapi.Pet.create(
    name='Wilson',
    owner_id='sha7891bikojbkreuy',
    species='Dog',
    breed='Golden Retriever',
)
PreviousUsers

Last updated 1 year ago