High-performing Apps With Python

Good programming language frameworks make it easy to produce quality products faster. Great frameworks even make the whole development experience enjoyable. FastAPI is a new Python web framework that’s powerful and enjoyable to use.

Good programming language frameworks make it easy to produce quality products faster. Great frameworks even make the whole development experience enjoyable. FastAPI is a new Python web framework that’s powerful and enjoyable to use. The following features make FastAPI worth trying:

• Speed: FastAPI is one of the fastest Python web frameworks. In fact, its speed is at par with Node.js and Go. Check these performance tests.
• Detailed and easy-to-use developer docs
• Type hint your code and get free data validation and conversion.
• Create plugins easily using dependency injection.

Building a TODO App

To explore the big ideas behind FastAPI, let’s build a TODO app, which sets up to-do lists for its users. Our tiny app will provide the following features:

• Signup and Login
• Add new TODO item
• Get a list of all TODOs
• Delete/Update a TODO item

SQLAlchemy for Data Models

Our app has just two models: User and TODO. With the help of SQLAlchemy, the database toolkit for Python, we can express our models like this:

class User(Base):
   __tablename__ = "users"
   id = Column(Integer, primary_key=True, index=True)
   lname = Column(String)
   fname = Column(String)
   email = Column(String, unique=True, index=True)
   todos = relationship("TODO", back_populates="owner", cascade="all, delete-orphan")
 
class TODO(Base):
   __tablename__ = "todos"
   id = Column(Integer, primary_key=True, index=True)
   text = Column(String, index=True)
   completed = Column(Boolean, default=False)
   owner_id = Column(Integer, ForeignKey("users.id"))
   owner = relationship("User", back_populates="todos")

Once our models are ready, let’s write the configuration file for SQLAlchemy so that it knows how to establish a connection with the database.

import os
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
SQLALCHEMY_DATABASE_URL = os.environ['SQLALCHEMY_DATABASE_URL']
engine = create_engine(
   SQLALCHEMY_DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Base = declarative_base()

Unleash the Power of Type Hints

A sizable part of any API project concerns the routine stuff like data validation and conversion. Let’s tackle it up front before we go to writing request handlers. With FastAPI, we express the schema of our incoming/outgoing data using pydantic models and then use these pydantic models to type hint and enjoy free data validation and conversion. Please note these models are not related to our database workflow and only specify the shape of data that’s flowing in and out of our REST interface. To write pydantic models, think about all the ways the User and TODO information will flow in and out.

Traditionally, a new user will sign up for our TODO service and an existing user will log in. Both of these interactions deal with User information, but the shape of data will be different. We need more information from users during signup and minimal (only email and password) when logging in. This means we need two pydantic models to express these two different shapes of User info.

In our TODO app, however, we will leverage the built-in OAuth2 support in FastAPI for a JSON Web Tokens (JWT)-based login flow. We just need to define a UserCreate schema here to specify data that will flow into our signup endpoint and a UserBase schema to return as a response in case the signup process is successful.

from pydantic import BaseModel
from pydantic import EmailStr
class UserBase(BaseModel):
   email: EmailStr
class UserCreate(UserBase):
   lname: str
   fname: str
   password: str

Here, we marked last name, first name, and password as a string, but it can be further tightened by using pydantic constrained strings that enable checks such as min length, max length, and regexes.

To support the creation and listing of TODO items, we define the following schema:

class TODOCreate(BaseModel):
   text: str
   completed: bool

To support the update of an existing TODO item, we define another schema:

class TODOUpdate(TODOCreate):
   id: int

With this, we are done with defining schemas for all data exchanges. We now turn our attention to request handlers where these schemas will be used to do all the heavy lifting of data conversion and validation for free.

Let Users Sign Up

First, let’s allow users to sign up, as all of our services need to be accessed by an authenticated user. We write our first request handler using the UserCreate and UserBase schema defined above.

@app.post("/api/users", response_model=schemas.User)
def signup(user_data: schemas.UserCreate, db: Session = Depends(get_db)):
   """add new user"""
   user = crud.get_user_by_email(db, user_data.email)
   if user:
   	raise HTTPException(status_code=409,
   	                    detail="Email already registered.")
   signedup_user = crud.create_user(db, user_data)
   return signedup_user

There’s a lot going on in this short piece of code. We have used a decorator to specify the HTTP verb, the URI, and the schema of successful responses. In order to ensure that the user has submitted the right data, we have typed hint the request body with an earlier defined UserCreate schema. The method defines another parameter for getting a handle on the database—this is dependency injection in action and is discussed later in this tutorial.

Securing Our API

We want the following security features in our app:

• Password hashing
• JWT-based authentication

For password hashing, we can use Passlib. Let’s define functions that handle password hashing and checking if a password is correct.

from passlib.context import CryptContext
 
pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
 
def verify_password(plain_password, hashed_password):
   return pwd_context.verify(plain_password, hashed_password)
 
 
def get_password_hash(password):
   return pwd_context.hash(password)
 
def authenticate_user(db, email: str, password: str):
   user = crud.get_user_by_email(db, email)
   if not user:
   	return False
   if not verify_password(password, user.hashed_password):
   	return False
   return user

To enable JWT-based authentication, we need to generate JWTs as well as decode them to get user credentials. We define the following functions to provide this functionality.

# install PyJWT
import jwt
from fastapi.security import OAuth2PasswordBearer
 
SECRET_KEY = os.environ['SECRET_KEY']
ALGORITHM = os.environ['ALGORITHM']
 
def create_access_token(*, data: dict, expires_delta: timedelta = None):
   to_encode = data.copy()
   if expires_delta:
   	expire = datetime.utcnow() + expires_delta
   else:
   	expire = datetime.utcnow() + timedelta(minutes=15)
   to_encode.update({"exp": expire})
   encoded_jwt = jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)
   return encoded_jwt
def decode_access_token(db, token):
   credentials_exception = HTTPException(
   	status_code=HTTP_401_UNAUTHORIZED,
   	detail="Could not validate credentials",
   	headers={"WWW-Authenticate": "Bearer"},
   )
   try:
   	payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
   	email: str = payload.get("sub")
   	if email is None:
       	raise credentials_exception
   	token_data = schemas.TokenData(email=email)
   except PyJWTError:
   	raise credentials_exception
   user = crud.get_user_by_email(db, email=token_data.email)
   if user is None:
   	raise credentials_exception
   return user

Issue Tokens at Successful Login

Now, we will define a Login endpoint and implement the OAuth2 password flow. This endpoint will receive an email and password. We will check the credentials against the database, and on success, issue a JSON web token to the user.

To receive the credentials, we will make use of OAuth2PasswordRequestForm, which is a part of FastAPI’s security utilities.

@app.post("/api/token", response_model=schemas.Token)
def login_for_access_token(db: Session = Depends(get_db),
                      	form_data: OAuth2PasswordRequestForm = Depends()):
   """generate access token for valid credentials"""
   user = authenticate_user(db, form_data.username, form_data.password)
   if not user:
   	raise HTTPException(
       	status_code=HTTP_401_UNAUTHORIZED,
       	detail="Incorrect email or password",
       	headers={"WWW-Authenticate": "Bearer"},
   	)
   access_token_expires = timedelta(minutes=ACCESS_TOKEN_EXPIRE_MINUTES)
   access_token = create_access_token(data={"sub": user.email},
                                  	expires_delta=access_token_expires)
   return {"access_token": access_token, "token_type": "bearer"}

Using Dependency Injection to Access DB and Protect Endpoints

We have set up the login endpoint that provides a JWT to a user upon successful login. The user can save this token in local storage and show it to our back end as an Authorization header. The endpoints that expect access only from logged-in users can decode the token and find out who the requester is. This kind of work is not tied to a particular endpoint, rather it’s shared logic utilized in all protected endpoints. It’s best to set up the token-decoding logic as a dependency that can be used in any request handler.

In FastAPI-speak, our path operation functions (request handlers) would then depend on get_current_user. The get_current_user dependency needs to have a connection to the database and to hook into the FastAPI’s OAuth2PasswordBearer logic to obtain a token. We will resolve this issue by making get_current_user depend on other functions. This way, we can define dependency chains, which is a very powerful concept.

def get_db():
   """provide db session to path operation functions"""
   try:
   	db = SessionLocal()
   	yield db
   finally:
   	db.close()
def get_current_user(db: Session = Depends(get_db),
                	token: str = Depends(oauth2_scheme)):
   return decode_access_token(db, token)
@app.get("/api/me", response_model=schemas.User)
def read_logged_in_user(current_user: models.User = Depends(get_current_user)):
   """return user settings for current user"""
   return current_user

Logged-in Users Can CRUD TODOs

Before we write the path operation functions for TODO Create, Read, Update, Delete (CRUD), we define the following helper functions to perform actual CRUD on the db.

def create_todo(db: Session, current_user: models.User, todo_data: schemas.TODOCreate):
   todo = models.TODO(text=todo_data.text,
                   	completed=todo_data.completed)
   todo.owner = current_user
   db.add(todo)
   db.commit()
   db.refresh(todo)
   return todo
def update_todo(db: Session, todo_data: schemas.TODOUpdate):
   todo = db.query(models.TODO).filter(models.TODO.id == id).first()
   todo.text = todo_data.text
   todo.completed = todo.completed
   db.commit()
   db.refresh(todo)
   return todo
def delete_todo(db: Session, id: int):
   todo = db.query(models.TODO).filter(models.TODO.id == id).first()
   db.delete(todo)
   db.commit()
 
def get_user_todos(db: Session, userid: int):
   return db.query(models.TODO).filter(models.TODO.owner_id == userid).all()

These db-level functions will be used in the following REST endpoints:

@app.get("/api/mytodos", response_model=List[schemas.TODO])
def get_own_todos(current_user: models.User = Depends(get_current_user),
             	db: Session = Depends(get_db)):
   """return a list of TODOs owned by current user"""
   todos = crud.get_user_todos(db, current_user.id)
   return todos
@app.post("/api/todos", response_model=schemas.TODO)
def add_a_todo(todo_data: schemas.TODOCreate,
          	current_user: models.User = Depends(get_current_user),
          	db: Session = Depends(get_db)):
   """add a TODO"""
   todo = crud.create_meal(db, current_user, meal_data)
   return todo
@app.put("/api/todos/{todo_id}", response_model=schemas.TODO)
def update_a_todo(todo_id: int,
             	todo_data: schemas.TODOUpdate,
             	current_user: models.User = Depends(get_current_user),
             	db: Session = Depends(get_db)):
   """update and return TODO for given id"""
   todo = crud.get_todo(db, todo_id)
   updated_todo = crud.update_todo(db, todo_id, todo_data)
   return updated_todo
@app.delete("/api/todos/{todo_id}")
def delete_a_meal(todo_id: int,
             	current_user: models.User = Depends(get_current_user),
             	db: Session = Depends(get_db)):
   """delete TODO of given id"""
   crud.delete_meal(db, todo_id)
   return {"detail": "TODO Deleted"}

Write Tests

Let’s write a few tests for our TODO API. FastAPI provides a TestClient class that’s based on the popular Requests library, and we can run the tests with Pytest.

To make sure only logged-in users can create a TODO, we can write something like this:

from starlette.testclient import TestClient
from .main import app
client = TestClient(app)
def test_unauthenticated_user_cant_create_todos():   todo=dict(text="run a mile", completed=False)
response = client.post("/api/todos", data=todo)
assert response.status_code == 401

The following test checks our login endpoint and generates a JWT if presented with valid login credentials.

def test_user_can_obtain_auth_token():
  response = client.post("/api/token", data=good_credentials)
  assert response.status_code == 200
  assert 'access_token' in response.json()
  assert 'token_type' in response.json()

Summing It Up

We’re done implementing a very simple TODO app using FastAPI. By now, you’ve seen the power of type hints put to good use in defining the shape of incoming and outgoing data through our REST interface. We define the schemas at one place and leave it to FastAPI to apply data validation and conversion. The other noteworthy feature is dependency injection. We used this concept to package the shared logic of obtaining a database connection, decoding the JWT to get the currently logged-in user, and implementing simple OAuth2 with password and bearer. We also saw how dependencies can be chained together.

We can easily apply this concept to add features such as role-based access. Besides, we are writing concise and powerful code without learning the peculiarities of a framework. In simple words, FastAPI is a collection of powerful tools that you don’t have to learn because they are just modern Python. Have fun.

Original article source at: https://www.toptal.com/

#python #fastapi 

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How to start an electric scooter facility/fleet in a university campus/IT park

Are you leading an organization that has a large campus, e.g., a large university? You are probably thinking of introducing an electric scooter/bicycle fleet on the campus, and why wouldn’t you?

Introducing micro-mobility in your campus with the help of such a fleet would help the people on the campus significantly. People would save money since they don’t need to use a car for a short distance. Your campus will see a drastic reduction in congestion, moreover, its carbon footprint will reduce.

Micro-mobility is relatively new though and you would need help. You would need to select an appropriate fleet of vehicles. The people on your campus would need to find electric scooters or electric bikes for commuting, and you need to provide a solution for this.

To be more specific, you need a short-term electric bike rental app. With such an app, you will be able to easily offer micro-mobility to the people on the campus. We at Devathon have built Autorent exactly for this.

What does Autorent do and how can it help you? How does it enable you to introduce micro-mobility on your campus? We explain these in this article, however, we will touch upon a few basics first.

Micro-mobility: What it is

You are probably thinking about micro-mobility relatively recently, aren’t you? A few relevant insights about it could help you to better appreciate its importance.

Micro-mobility is a new trend in transportation, and it uses vehicles that are considerably smaller than cars. Electric scooters (e-scooters) and electric bikes (e-bikes) are the most popular forms of micro-mobility, however, there are also e-unicycles and e-skateboards.

You might have already seen e-scooters, which are kick scooters that come with a motor. Thanks to its motor, an e-scooter can achieve a speed of up to 20 km/h. On the other hand, e-bikes are popular in China and Japan, and they come with a motor, and you can reach a speed of 40 km/h.

You obviously can’t use these vehicles for very long commutes, however, what if you need to travel a short distance? Even if you have a reasonable public transport facility in the city, it might not cover the route you need to take. Take the example of a large university campus. Such a campus is often at a considerable distance from the central business district of the city where it’s located. While public transport facilities may serve the central business district, they wouldn’t serve this large campus. Currently, many people drive their cars even for short distances.

As you know, that brings its own set of challenges. Vehicular traffic adds significantly to pollution, moreover, finding a parking spot can be hard in crowded urban districts.

Well, you can reduce your carbon footprint if you use an electric car. However, electric cars are still new, and many countries are still building the necessary infrastructure for them. Your large campus might not have the necessary infrastructure for them either. Presently, electric cars don’t represent a viable option in most geographies.

As a result, you need to buy and maintain a car even if your commute is short. In addition to dealing with parking problems, you need to spend significantly on your car.

All of these factors have combined to make people sit up and think seriously about cars. Many people are now seriously considering whether a car is really the best option even if they have to commute only a short distance.

This is where micro-mobility enters the picture. When you commute a short distance regularly, e-scooters or e-bikes are viable options. You limit your carbon footprints and you cut costs!

Businesses have seen this shift in thinking, and e-scooter companies like Lime and Bird have entered this field in a big way. They let you rent e-scooters by the minute. On the other hand, start-ups like Jump and Lyft have entered the e-bike market.

Think of your campus now! The people there might need to travel short distances within the campus, and e-scooters can really help them.

How micro-mobility can benefit you

What advantages can you get from micro-mobility? Let’s take a deeper look into this question.

Micro-mobility can offer several advantages to the people on your campus, e.g.:

• Affordability: Shared e-scooters are cheaper than other mass transportation options. Remember that the people on your campus will use them on a shared basis, and they will pay for their short commutes only. Well, depending on your operating model, you might even let them use shared e-scooters or e-bikes for free!
• Convenience: Users don’t need to worry about finding parking spots for shared e-scooters since these are small. They can easily travel from point A to point B on your campus with the help of these e-scooters.
• Environmentally sustainable: Shared e-scooters reduce the carbon footprint, moreover, they decongest the roads. Statistics from the pilot programs in cities like Portland and Denver showimpressive gains around this key aspect.
• Safety: This one’s obvious, isn’t it? When people on your campus use small e-scooters or e-bikes instead of cars, the problem of overspeeding will disappear. you will see fewer accidents.

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Best Electric Bikes and Scooters for Rental Business or Campus Facility

The electric scooter revolution has caught on super-fast taking many cities across the globe by storm. eScooters, a renovated version of old-school scooters now turned into electric vehicles are an environmentally friendly solution to current on-demand commute problems. They work on engines, like cars, enabling short traveling distances without hassle. The result is that these groundbreaking electric machines can now provide faster transport for less — cheaper than Uber and faster than Metro.

Since they are durable, fast, easy to operate and maintain, and are more convenient to park compared to four-wheelers, the eScooters trend has and continues to spike interest as a promising growth area. Several companies and universities are increasingly setting up shop to provide eScooter services realizing a would-be profitable business model and a ready customer base that is university students or residents in need of faster and cheap travel going about their business in school, town, and other surrounding areas.

Electric Scooters Trends and Statistics

In many countries including the U.S., Canada, Mexico, U.K., Germany, France, China, Japan, India, Brazil and Mexico and more, a growing number of eScooter users both locals and tourists can now be seen effortlessly passing lines of drivers stuck in the endless and unmoving traffic.

A recent report by McKinsey revealed that the E-Scooter industry will be worth― $200 billion to $300 billion in the United States, $100 billion to $150 billion in Europe, and $30 billion to $50 billion in China in 2030. The e-Scooter revenue model will also spike and is projected to rise by more than 20% amounting to approximately $5 billion.

And, with a necessity to move people away from high carbon prints, traffic and congestion issues brought about by car-centric transport systems in cities, more and more city planners are developing more bike/scooter lanes and adopting zero-emission plans. This is the force behind the booming electric scooter market and the numbers will only go higher and higher.

Companies that have taken advantage of the growing eScooter trend develop an appthat allows them to provide efficient eScooter services. Such an app enables them to be able to locate bike pick-up and drop points through fully integrated google maps.

List of Best Electric Bikes for Rental Business or Campus Facility 2020:

It’s clear that e scooters will increasingly become more common and the e-scooter business model will continue to grab the attention of manufacturers, investors, entrepreneurs. All this should go ahead with a quest to know what are some of the best electric bikes in the market especially for anyone who would want to get started in the electric bikes/scooters rental business.

We have done a comprehensive list of the best electric bikes! Each bike has been reviewed in depth and includes a full list of specs and a photo.

Billy eBike

 https://www.kickstarter.com/projects/enkicycles/billy-were-redefining-joyrides

To start us off is the Billy eBike, a powerful go-anywhere urban electric bike that’s specially designed to offer an exciting ride like no other whether you want to ride to the grocery store, cafe, work or school. The Billy eBike comes in 4 color options – Billy Blue, Polished aluminium, Artic white, and Stealth black.

Price: $2490

Available countries

Available in the USA, Europe, Asia, South Africa and Australia.This item ships from the USA. Buyers are therefore responsible for any taxes and/or customs duties incurred once it arrives in your country.

Features

• Control – Ride with confidence with our ultra-wide BMX bars and a hyper-responsive twist throttle.
• Stealth- Ride like a ninja with our Gates carbon drive that’s as smooth as butter and maintenance-free.
• Drive – Ride further with our high torque fat bike motor, giving a better climbing performance.
• Accelerate – Ride quicker with our 20-inch lightweight cutout rims for improved acceleration.
• Customize – Ride your own way with 5 levels of power control. Each level determines power and speed.
• Flickable – Ride harder with our BMX /MotoX inspired geometry and lightweight aluminum package

Specifications

• Maximum speed: 20 mph (32 km/h)
• Range per charge: 41 miles (66 km)
• Maximum Power: 500W
• Motor type: Fat Bike Motor: Bafang RM G060.500.DC
• Load capacity: 300lbs (136kg)
• Battery type: 13.6Ah Samsung lithium-ion,
• Battery capacity: On/off-bike charging available
• Weight: w/o batt. 48.5lbs (22kg), w/ batt. 54lbs (24.5kg)
• Front Suspension: Fully adjustable air shock, preload/compression damping /lockout
• Rear Suspension: spring, preload adjustment
• Built-in GPS

Why Should You Buy This?

• Riding fun and excitement
• Better climbing ability and faster acceleration.
• Ride with confidence
• Billy folds for convenient storage and transportation.
• Shorty levers connect to disc brakes ensuring you stop on a dime
• belt drives are maintenance-free and clean (no oil or lubrication needed)

**Who Should Ride Billy? **

Both new and experienced riders

**Where to Buy? **Local distributors or ships from the USA.

Genze 200 series e-Bike

 https://www.genze.com/fleet/

Featuring a sleek and lightweight aluminum frame design, the 200-Series ebike takes your riding experience to greater heights. Available in both black and white this ebike comes with a connected app, which allows you to plan activities, map distances and routes while also allowing connections with fellow riders.

Price: $2099.00

Available countries

The Genze 200 series e-Bike is available at GenZe retail locations across the U.S or online via GenZe.com website. Customers from outside the US can ship the product while incurring the relevant charges.

Features

• 2 Frame Options
• 2 Sizes
• Integrated/Removable Battery
• Throttle and Pedal Assist Ride Modes
• Integrated LCD Display
• Connected App
• 24 month warranty
• GPS navigation
• Bluetooth connectivity

Specifications

• Maximum speed: 20 mph with throttle
• Range per charge: 15-18 miles w/ throttle and 30-50 miles w/ pedal assist
• Charging time: 3.5 hours
• Motor type: Brushless Rear Hub Motor
• Gears: Microshift Thumb Shifter
• Battery type: Removable Samsung 36V, 9.6AH Li-Ion battery pack
• Battery capacity: 36V and 350 Wh
• Weight: 46 pounds
• Derailleur: 8-speed Shimano
• Brakes: Dual classic
• Wheels: 26 x 20 inches
• Frame: 16, and 18 inches
• Operating Mode: Analog mode 5 levels of Pedal Assist Thrott­le Mode

Norco from eBikestore

 https://ebikestore.com/shop/norco-vlt-s2/

The Norco VLT S2 is a front suspension e-Bike with solid components alongside the reliable Bosch Performance Line Power systems that offer precise pedal assistance during any riding situation.

Price: $2,699.00

Available countries

This item is available via the various Norco bikes international distributors.

Features

• VLT aluminum frame- for stiffness and wheel security.
• Bosch e-bike system – for their reliability and performance.
• E-bike components – for added durability.
• Hydraulic disc brakes – offer riders more stopping power for safety and control at higher speeds.
• Practical design features – to add convenience and versatility.

Specifications

• Maximum speed: KMC X9 9spd
• Motor type: Bosch Active Line
• Gears: Shimano Altus RD-M2000, SGS, 9 Speed
• Battery type: Power Pack 400
• Battery capacity: 396Wh
• Suspension: SR Suntour suspension fork
• Frame: Norco VLT, Aluminum, 12x142mm TA Dropouts

Bodo EV

http://www.bodoevs.com/bodoev/products_show.asp?product_id=13

Manufactured by Bodo Vehicle Group Limited, the Bodo EV is specially designed for strong power and extraordinary long service to facilitate super amazing rides. The Bodo Vehicle Company is a striking top in electric vehicles brand field in China and across the globe. Their Bodo EV will no doubt provide your riders with high-level riding satisfaction owing to its high-quality design, strength, breaking stability and speed.

Price: $799

Available countries

This item ships from China with buyers bearing the shipping costs and other variables prior to delivery.

Features

• Reliable
• Environment friendly
• Comfortable riding
• Fashionable
• Economical
• Durable – long service life
• Braking stability
• LED lighting technology

Specifications

• Maximum speed: 45km/h
• Range per charge: 50km per person
• Charging time: 8 hours
• Maximum Power: 3000W
• Motor type: Brushless DC Motor
• Load capacity: 100kg
• Battery type: Lead-acid battery
• Battery capacity: 60V 20AH
• Weight: w/o battery 47kg

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How long does it take to develop/build an app?

With more of us using smartphones, the popularity of mobile applications has exploded. In the digital era, the number of people looking for products and services online is growing rapidly. Smartphone owners look for mobile applications that give them quick access to companies’ products and services. As a result, mobile apps provide customers with a lot of benefits in just one device.

Likewise, companies use mobile apps to increase customer loyalty and improve their services. Mobile Developers are in high demand as companies use apps not only to create brand awareness but also to gather information. For that reason, mobile apps are used as tools to collect valuable data from customers to help companies improve their offer.

There are many types of mobile applications, each with its own advantages. For example, native apps perform better, while web apps don’t need to be customized for the platform or operating system (OS). Likewise, hybrid apps provide users with comfortable user experience. However, you may be wondering how long it takes to develop an app.

To give you an idea of how long the app development process takes, here’s a short guide.

App Idea & Research

_Average time spent: two to five weeks _

This is the initial stage and a crucial step in setting the project in the right direction. In this stage, you brainstorm ideas and select the best one. Apart from that, you’ll need to do some research to see if your idea is viable. Remember that coming up with an idea is easy; the hard part is to make it a reality.

All your ideas may seem viable, but you still have to run some tests to keep it as real as possible. For that reason, when Web Developers are building a web app, they analyze the available ideas to see which one is the best match for the targeted audience.

Targeting the right audience is crucial when you are developing an app. It saves time when shaping the app in the right direction as you have a clear set of objectives. Likewise, analyzing how the app affects the market is essential. During the research process, App Developers must gather information about potential competitors and threats. This helps the app owners develop strategies to tackle difficulties that come up after the launch.

The research process can take several weeks, but it determines how successful your app can be. For that reason, you must take your time to know all the weaknesses and strengths of the competitors, possible app strategies, and targeted audience.

The outcomes of this stage are app prototypes and the minimum feasible product.

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Why use Python for Software Development

No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas. 

By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities. 

Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly. 

5 Reasons to Utilize Python for Programming Web Apps 

Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.

Robust frameworks 

Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions. 

Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events. 

Simple to read and compose 

Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building. 

The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties. 

Utilized by the best 

Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player. 

Massive community support 

Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions. 

Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking. 

Progressive applications 

Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.

The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.

Summary

Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential. 

The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.

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