How statistics are calculated
We count how many offers each candidate received and for what salary. For example, if a Back-End Web with FastApi with a salary of $4,500 received 10 offers, then we would count him 10 times. If there were no offers, then he would not get into the statistics either.
The graph column is the total number of offers. This is not the number of vacancies, but an indicator of the level of demand. The more offers there are, the more companies try to hire such a specialist. 5k+ includes candidates with salaries >= $5,000 and < $5,500.
Median Salary Expectation – the weighted average of the market offer in the selected specialization, that is, the most frequent job offers for the selected specialization received by candidates. We do not count accepted or rejected offers.
Trending Back-End Web tech & tools in 2024
Most popular Web Engineering trends in 2024
Where is FastApi used?
APIs at Lightning Speed
- Demolishing the snail-paced legacy systems, FastAPI rushes in to whip up RESTful services faster than you can say "Pythonic Principles"!
Unicorn Startups Galore
- Startups juggling the art of speed-coding and crafty budgeting are worshipping FastAPI as if it's the Silicon Valley's latest deity!
ML Models Say 'Hello World'
- Machine Learning enthusiasts use FastAPI to serve their models on a silver platter, sometimes with a side of swagger documentation!
IoT Devices Chat Smarter
- The Internet of Things has found its chatty friend in FastAPI, making device communications smoother than a greased-up otter slide.
FastApi Alternatives
Flask
Flask is a lightweight WSGI web application framework. It is designed to make getting started quick and easy, with the ability to scale up to complex applications.
from flask import Flask
app = Flask(__name__)
@app.route('/')
def hello_world():
return 'Hello, World!'
- Simple and easy to use.
- Highly flexible and lightweight.
- Extensive community support.
- Not asynchronous, which can lead to performance bottlenecks.
- Limited built-in functionalities.
- Scaling horizontally can be challenging.
Django
Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design. It has a built-in ORM and follows the MVT architecture.
from django.http import HttpResponse
from django.shortcuts import render
def home_page_view(request):
return HttpResponse('Hello, World!')
- Robust and scalable.
- Batteries-included philosophy.
- Great for admin interfaces and data-driven apps.
- Monolithic and less flexible for microservices.
- Steep learning curve for beginners.
- More complex deployment process.
Sanic
Sanic is a Python 3.7+ web server and web framework that's written to go fast and handle asynchronous request processing with the ability to scale up.
from sanic import Sanic
from sanic.response import json
app = Sanic("MyHelloWorldApp")
@app.route('/')
async def test(request):
return json({'hello': 'world'})
if __name__ == '__main__':
app.run(host='0.0.0.0', port=8000)
- Designed for high-performance, asynchronous request handling.
- Easy to scale and extend.
- Supports async and await syntax.
- Less mature compared to Flask and Django.
- Smaller community and ecosystem.
- Limited support for synchronous libraries.
Quick Facts about FastApi
🚀 FastAPI Takes Off!
Born from a dream in 2018 - the year we'll never forget because of the endless memes - the brainchild of the coding maestro Sebastián Ramírez took its first breath. FastAPI, not to be confused with a quick trip through your local drive-thru, promised to speed up web development like you wouldn't believe! Its secret sauce? Starlette for the web parts and Pydantic for the data bits, creating a dynamic duo faster than a caffeinated coder on a deadline.
🧙♂️ Asynchronous Alchemy!
With FastAPI, you're not just coding; you're conducting a high-speed symphony where each note is an async request. It's like your code has been given the Usain Bolt treatment, sprinting through operations with asynchronous support that could make Node.js blush. Here's a sneak peek at this mystical spell:
from fastapi import FastAPI
app = FastAPI()
@app.get("/")
async def read_root():
return {"Hello": "World"}
🎯 Precise with Pydantic
Data validation and settings management might sound as exciting as watching paint dry, but FastAPI turned it into a precision sport. Pydantic, in this story, is like the eagle-eyed archer hitting the bullseye of data correctness. Define your data models, and watch FastAPI ensure everything fits like the perfect Tetris block – snug, satisfying, and error-free.
What is the difference between Junior, Middle, Senior and Expert FastApi developer?
Seniority Name | Years of Experience | Average Salary (USD/year) | Responsibilities & Activities |
---|---|---|---|
Junior FastApi Developer | 0-2 | $50,000 - $70,000 |
|
Middle FastApi Developer | 2-5 | $70,000 - $100,000 |
|
Senior FastApi Developer | 5+ | $100,000 - $130,000 |
|
Expert/Team Lead FastApi Developer | 8+ | $130,000+ |
|
Top 10 FastApi Related Tech
Python
Slither into the heart of FastAPI with Python, the language that’s as friendly as a pet snake at a geek convention. Designed for readability, Python lets you write web services with fewer lines of code than your granny’s knitting patterns. When used with FastAPI, Python's concise syntax helps developers craft APIs faster than a barista pulls espresso shots during the morning rush.
# A simple FastAPI endpoint in Python
from fastapi import FastAPI
app = FastAPI()
@app.get("/")
async def read_root():
return {"Hello": "World"}FastAPI Framework
FastAPI: it's not about losing weight quickly, but about building APIs at warp speed. This modern, fast web framework is built on Starlette for the web parts and Pydantic for the data parts. It's like having a Swiss Army knife; it has all the tools to build a highly performative API that handles asynchronous requests and solves your concurrency woes without breaking into a sweat.
# Boot up FastAPI
from fastapi import FastAPI
app = FastAPI()
@app.post("/items/")
async def create_item(item: Item):
return itemStarlette
If FastAPI is the shiny sports car, then Starlette is the powerful engine under the hood. This lightweight ASGI framework lays the groundwork for websockets, GraphQL, and other asynchronous goodies. It's what makes FastAPI quicker than a squirrel on an energy drink. Starlette makes your apps not just fast but also versatile, just like a multitasking octopus in rollerblades.
Pydantic
Imagine Bob Ross painting happy little JSON objects; that's Pydantic bringing order to your data. With Pydantic, you can create data models faster than a toddler builds blocks, ensuring that your data is valid and type-annotated. It's like having a bouncer at the club, but for your data, making sure that only the cool, well-typed stuff gets through.
# Pydantic models in action
from pydantic import BaseModel
class Item(BaseModel):
name: str
description: str = None
price: float
tax: float = NoneSQLAlchemy
SQLAlchemy is the ORM that treats databases like a relationship, not a one-night stand. It's all about long-term interaction with your data. Whether you're into SQL databases like PostgreSQL, MySQL, or SQLite, SQLAlchemy plays Cupid, helping your app and database communicate smoothly. With ORM power, you can manage your database relationships without writing raw SQL, avoiding the tedious task like someone avoiding spoilers for the series finale.
Alembic
Alembic is to database schema updates what a time machine is to a history buff. This database migration tool lets you track, version, and apply incremental changes to your database like you're turning the pages of your high-school yearbook. No more database drama during updates, just smooth transitions that are slicker than a penguin on an ice slide.
Uvicorn
Uvicorn is an ASGI server faster than a kangaroo on a skateboard. It's the unicorn-powered rocket that launches your FastAPI apps into the stratosphere. With support for HTTP/2 and websockets, Uvicorn makes your app not just speedy but also modern, like that new smartphone you can't wait to show off.
# Run a FastAPI app with Uvicorn
import uvicorn
if __name__ == "__main__":
uvicorn.run("myapp:app", host="0.0.0.0", port=8000, log_level="info")Docker
Docker is like those plastic containers in your kitchen, but for your code. It packages your app and all its dependencies into a neat little container, making deployment a breeze. With Docker, your development environment woes are gone, making it as easy as heating up leftovers in a microwave. Just build it, ship it, and run it anywhere without fearing the "it works on my machine" curse.
Swagger/OpenAPI
Swagger (now known as OpenAPI) is your API's dating profile; it shows off your endpoints to the world with elegance. This tool is all about making documentation as exciting as flipping through a glossy magazine, with interactive explorations of your API that make postman a little jealous. It's like having a map of Middle-earth for your API; you'll always know where to go.
OAuth2/JWT for Authentication
OAuth2 and JWT are the dynamic duo guarding the gates of your API, like Gandalf but in the form of tokens. OAuth2 is the framework that handles the handshakes, and JWT is the token that carries the secret messages. Together, they ensure that only the chosen ones (i.e., authorized users) get to commune with your precious data. It's like a VIP party, and these guys are the bouncers.