Hire Top Freelance Python developers with Ultragenius

Ultragenius is a marketplace for top software developers, engineers, programmers, coders, architects, and consultants. Top start-ups and companies choose developers from Ultragenius platform for their critical software projects. Hire from Ultragenius network & scale your engineering team in a matter of few days. 

Trusted By

microsoft_corp_logo226_9217jpg-removebg-preview
google2.0.0
download (1)
aws
automattic-cmyk

Hire only the top 1% among the 20K+ engineers who have applied to Ultragenius

Rishabh

Senior Python Developer

Rishabh is a software engineer having 7+ years of experience in designing front-end and back-end web applications using Python.

Expert in

Python

Javascript

CSS

HTML

Experience

10 Years

Availability

Full Time

Mahesh

Upwork Python Developer

Mahesh is a software engineer having 3+ years of experience in developing server-side applications using Python.

Expert in

Python

MongoDB

ORM

HTML

Experience

10 Years

Availability

Full Time

John

Freelance Python Developer

John is a software engineer having 10+ years of experience working with Python. He is keenly interested in deep learning techniques.

Expert in

Python

Scipy

Tensorflow

HTML

Experience

10 Years

Availability

Full Time

Hire top freelance Python developers with Ultragenius

Python is a robust, high-level object-oriented programming language which is used for developing software applications, data analysis, task automation, and data visualization. Python can be used everywhere in programming field from web development to Data Science, Machine Learning, from operating systems to video games. 

What Ultragenius offers?

Hire freelance Python developers through Ultragenius in 4 easy steps

01
Tell us the skills you need

We’ll schedule a call and understand your requirements.

02
We find the best talent for you

Get the list of pre-vetted candidates in days.

03
Schedule the interviews

We will arrange a call after understanding your requirements.

04
Begin your trial

Start working with Ultragenius with a 1-week trial period.

Developers' Reviews for Ultragenius

Ultragenius offers a great opportunity to work in mission-driven U.S. companies with a great salary. I am glad that I chose Ultragenius to find my dream job.
Jason Martin
Freelance Python developer
Once you are part of Ultragenius, you don't have to look for another platform which leads you to your dream job. Ultragenius's vetting tests and assessments are unmatchable and helped me a land an excellent job.
Barbara Smith
Python Coding Freelancer
I will thank to Ultragenius wholeheartedly. It helped me securing a career-growing high paid job which I couldn't think would be possible for me without this top connecting network.
Mark Sommers
Upwork Python Developer

Join 200+ Fast-scaling Start ups
and Fortune 500 Companies that have hired freelance Python developers

Including Top Companies

microsoft_corp_logo226_9217jpg-removebg-preview
microsoft_corp_logo226_9217jpg-removebg-preview
automattic-cmyk
microsoft_corp_logo226_9217jpg-removebg-preview

Want to hire freelance Python developers on your own? Here are the skills you must look for while hiring an upwork Python developer

Hiring freelance Python developers might be a complex task for you if you are a non-technical manager. Python is a robust and widely-scoped object-oriented programming language used for multiple purposes, like developing desktop GUI applications, web applications, in data science and machine learning. But, here comes the challenge of how to hire the most suitable upwork Python developers who exactly match your job applications. No worries, Ultragenius comes to assist you while recruiting the top skilled Python coding freelance developers on your own. Ultragenius understands your job requirements and gets you only proficient freelance Python developers who are skilled in Python.

These skills you must ensure while hiring a freelance Python developer –

Strong knowledge of Core Python

The Python developer must be very clear with the core concepts like – 

  • Python Data Types and Variables
  • Python Data Structures and Algorithms (most important point)
  • Exception Handling 
  • File Handling
  • Object-Oriented Programming Concepts
  • Generators
  • Iterators

 

Understanding of Object-Oriented Programming Skills (OOPS) in-depth -
Object-Oriented Programming (OOP) is one of the most essential skills for any freelance Python developer. OOP binds the similar code in one module which a developer can work on separately, allows code reusability and flexibility, and ensures security up to a great extent in development. There are four major concepts of OOP – 
  • Encapsulation – Encapsulation binds similar functions and data members into a single module called class. This mechanism prevents the code from accessing outside a particular class. Encapsulation is achieved by declaring the variables of a class as private and using the getter() and setter() methods to access them indirectly ensuring security.
  • Inheritance – Inheritance is one of the widely used concepts in real-world programming that allows one class to extend the functionality of other classes and use its member functions instead of writing repeated code.
  •  Abstraction – Abstraction is required when we have to define a parent class that contains only the structure of a given project and the implementation has to be done by its child class. Abstraction is the mechanism of hiding the data implementation and showing only the necessary details.
  • Polymorphism – Polymorphism allows an object to behave differently on its calling. There are two types  – Compile-time Polymorphism and Run-time Polymorphism.

    In Compile-time Polymorphism,
    the object is bound with its functionality at the compile-time only. Compile-time Polymorphism is implemented through function/method overloading. 
    For example, 
    def add(a,b) :
     return a+b
    def add(a,b,c) :
     return a+b+c
    print(add(2,3))
    print(add(2,3,5))

    When the method inherited from the parent class doesn’t fit the requirement of its child class then the child class modifies it. This is called Method Overriding. The call to the overridden method is resolved at the run-time. 
    For example, 
    class Bird : 
    def intro(self) :
       print(“This is the class of Birds”) 
    def fly(self) : 
       print(“Some birds can fly and some birds cannot fly”)

    class Sparrow(Bird) :
    def fly(self) : 
       print(“Sparrows can fly”)

    class Ostrich(Bird) : 
    def fly(self) : 
       print(“Ostrich cannot fly”)

    birdObj = Bird()
    sparrowObj = Sparrow()
    ostrichObj = Ostrich()
    birdObj.intro()
    birdObj.fly()
    sparrowObj.intro()
    sparrowObj.fly()
    ostrichObj.intro()
    ostrichObj.fly()

    Output – 
    This is the class of Birds
    Some birds can fly and some birds cannot fly
    This is the class of Birds
    Sparrows can fly
    This is the class of Birds
    Ostrich cannot fly
Proficient using Python frameworks and libraries

Python frameworks and libraries are most helpful to a Python developer by eliminating the worry of low-level things such as sockets, protocols, or threads. Frameworks like Django, Flask, Web2Py, Falcon, Pylon, and Bottle enable freelance Python developers to rapidly design the web application’s prototype by preventing them from writing repeated lines of code. 

 

Python libraries play a crucial role in developing data visualization, data science, image and data manipulation applications, and eliminating the need to write repeated code. Examples are Numpy, Pandas, Scipy, Wxpython, Tkinter, PyMySQL, etc.

Familiarity with HTML, CSS, and Javascript

The developer must know more than one Javascript library framework like jQuery, Bootstrap and must be specialized in working with Asynchronous Javascript and XML (AJAX). Check if the developers have worked with Leaner CSS and Syntactically Awesome Stylesheet (SASS), also with Javascript build tools such as Grunt.js, Gulp.js, and Bower.js.

Experienced in working with Version Control System (VCS)
Developers must have a very good knowledge of version control systems, like Git, SVN, TFS, and Mercurial. Mostly, developers use Git for their work. It is the version control system that helps the team in collaborating and organizing your code, maintain the frequent changes that occur in the code. Git helps in reviewing the old codes and compares them with the newly updated code, pulling the code from their repository, and managing the commit history.

Along with this, the developer must know how to use add, push, pull, and commit commands, branching, and merging as it allows developers to work independently on the code.
Excellent understanding of testing frameworks and tools

Rising quick-deployment needs during the development phase, testing has become an  important skill for Javascript developers. Therefore, developers should know about Jest, Enzyme, Mocha, Chai, AVA, and Tape for unit testing.

For end-to-end testing, they must know about Selenium, Webdriver, Cucumber.js, Nightwatch.js, Cypress, and Puppeteer.

For integration testing, they must know about Karma.

Familiarity with front-end frameworks

For developing a web-application, front-end technologies offer unique user interfaces that match perfectly with the server-side. The developer should be expertise in any of the front-end frameworks,  React or Angular as knowledge of front-end gives the Python coding freelance developer a clear vision of the appearance and workflow of the application. Knowledge of front-end frameworks makes Python freelance developers manage both client-side and server-side and better coordinate the project workflow. 

Proficient using ORM libraries - ​

Object-Relation Mappers or ORM  is the type of library that enables data transfer from a database to Python objects using an object-oriented paradigm. ORM provides a high level of abstraction on a relational database and eases the freelance Python developers to write Python code instead of writing SQL queries to perform CREATE, READ, UPDATE, and DELETE operations on the application. Several implementations which are written in Python are – SQLAlchemy, The Django ORM, SQLObject, Tortoise ORM, Peewee, and PonyORM.

ORM libraries save a considerable amount of developers’ time by offering them the ease to switch between more than one relational database. For example, a Python developer who uses SQLite for local development and MySQL for production, then it is possible to switch from MySQL to PostgreSQL very easily with fewer modifications. 

Knowledge of Multi-Process Architecture

A Python freelance developer must pick an architecture to design highly scalable applications and speed up the development of large projects. Today, Model-View-Controller Architecture is mostly used by freelance developers as it keeps the business layer and view layer separated so, changing code in one module won’t affect the other module and makes it easy to update the application. 


Advantages of MVC architecture – 

  • It enables loose coupling in the application. 
  • MVC architecture allows multiple developers to collaborate on a single application.
  • A large code block is converted into modules which enable developers to easily debug the code.
Strong analytical and problem-solving skills

You must hire the developers who possess strong analytical and problem-solving skills who can write clean and optimized code that is understandable by all the team members, and is scalable.

Pay only after one week trial period

Connect with the top 1% freelance Python developers of the world at the lowest prices

Upwork Python developers are the most-demanding  developers today in IT industry.  Python is widely used in several fields from developing web applications to analyze data in Data Analytics. It is topmost choice of developers today. It provides Python coding freelancers the  flexibility to work on both client-side and server-side and enriched Python libraries for rapid application development.  But recruiting the best freelance Python developers is not an easy task where a large no. of upwork Python developers are competing to grab the job opportunities.

Top Interview Questions to ask while hiring a freelance Python developer

  • An array is a vector containing similar (homogeneous) data types and a list is an ordered collection of heterogeneous data types. 
  • Arrays in python need to import a module explicitly for declaration whereas lists need not to. 
  • Arrays can easily handle arithmetic operations but lists cannot.
  • Arrays must contain only same-size elements whereas a list can contain different types of elements.
  • An array is preferred for a long sequence of data items whereas a list is usually used for a short sequence of data items.
  • A list can be printed without using any external loop but an explicit loop is required to print or access the array elements.
  • An element to a list can be easily added or deleted, but it is difficult to add or delete in the case of an array.
  • An array comparatively consumes less memory as compared to the list.
  • Allows third-party modules to be used in the program.
  • Highly extensible because of its vast set of libraries like NumPy which makes calculation fast, Pandas for data analysis.
  • Python is a dynamically typed language, there is no need to mention the data type based on the value assigned it takes its data-type.
  • Provide more functionality with lesser coding as compared to other programming languages like C++ and Java.
  • Highly efficient as it uses interpreter to compile its program and is also platform-independent.
  • Flexible to be used in more than one areas no matter whether it is full-stack development, Machine Learning, or Big Data Analysis.
A namespace assigns a unique name to all the identifiers such as data types, variables, functions, and classes in a program, hence preventing name collisions. To avoid name conflicts in one class, we use namespaces. For example, namespace A has int x ; and namespace B has int i and class x, so the same variable x is used as two different variables in two different namespaces. 

There are three types of namespaces in Python - 
  • Built-in namespace - This is in-built namespace which includes certain classes, methods, keywords, exceptions, and also some built-in algorithms. 
  • Global namespace - This namespace includes names from the modules that a developer imports. The import statement is declared at the top of the file and the module is available throughout the file.
  • Local namespace  - Local namespace includes local names inside the function. It ‘s scope is only useful inside the function and ends outside it.

Scope limits the access of a variable inside a program. When the scope of any variable, function, or class comes to an end, its namespace also ends. Following are the scopes that exist in Python -
  • Local scope - The local scope is the innermost scope which contains a set of local variables that are accessible only inside a method.
  • Enclosing scope - Nested functions have enclosing scopes in which names are searched in the nearest function outside it.
  • Global scope - When a module is imported, it gets added to global scope.
  • Built-in names scope - Built-in names scope is the outermost scope. After searching the names in the above three scopes if interpreter does not get them, it searches in this scope. 
 

The self is a parameter which represents the instance of a class. It is used to access the variables and methods present inside that class. The methods have the facility to pass the instances automatically but receiving them is not automatic. 

For example, 

class fruit() : 

def __init__(self, fruit_name, color) : 

self.fruit_name = fruit_name 

self.color = color  

def display(self) : 

print (“ Fruit is :”, self.fruit_name) 

print (“Fruit color :”, self.color) 

apple = fruit (“apple”, “red”) 

mango = fruit (“mango”, “yellow”)

pears = fruit(“pears”, “green”)

apple.show()

mango.show()

pears.show() 

self is used at many places differently in Python but it is not a keyword.

The __init__ method is similar to the constructor in Java and C++. It is invoked after allocating the memory for that object. 

For example, 

class Rectangle : 

def __init__(self, length, breadth) : 

self.length = length 

self.breath = breadth 

def show(self) : 

print (“The area of rectangle is :”, self.length*self.breadth) 

print(“The perimeter of the rectangle is :”, 2*(self.length + self.breadth))

r1=Rectangle(10,20)

r1.show()

The length and breadth variables are local inside the __init__function and are stored on stack. After the __init__ function is over, these variables don’t longer exist, so storing them self.length and self.breadth, make them class variables which can be accessed throughout the class. __init__ method is invoked when you create an object r1 of Rectangle class.

These are the steps to be followed to read a JSON file in Python -

  • Import the JSON module which translates the Python data-types into JSON string  file which comprises of string functions that can read and write directly from JSON file. 
  • The JSON library parses JSON into Python and vice-versa.
  • For example,

    Conversion from JSON to Python : 

    import json 

    person_details = ‘ ‘ ‘{

    "person":[

    {

    "emp_name": "John doe",

    "emp_no.": "9243679383",

    "emp_email": ["johndoe@gmail.com"],

    },

    {

    "emp_name": "Rachit Jain",

    "emp_number": "9220549324",

    "emp_email": "jainrachit987@yahoo.com",

    }

    ]

    } ’ ’ ’

    info = json.loads(person_details)

    print(type(data))

    print(info)


    The conversion from Python to JSON is done via json.dumps(). 

    Conversion from Python to JSON : 

    import json 

    person_details = ‘ ‘ ‘{

    "person":[

    {

    "emp_name": "John doe",

    "emp_no.": "9243679383",

    "emp_email": ["johndoe@gmail.com"],

    },

    {

    "emp_name": "Rachit Jain",

    "emp_number": "9220549324",

    "emp_email": "jainrachit987@yahoo.com",

    }

    ]

    } ’ ’ ’

    info = json.loads(person_details)

    print(type(data))

    print(info)

    new_info = json.dumps(info)

    print(type(new_info)) 

    print(new_info)

The format function in Python is used to replace a part of string at desired intervals using
  • {} at one or more places (Known as Single or Multiple Formatters) ,
  • Keywords and positional arguments Formatters.
  • Type Specification.

  • Single Formatter - The single formatter works by replacing {} by the desired string. It is used with str.format() method.

For example, str = “The { } brown fox ran over the lazy dog.” str.format(“quick”) Output - The quick brown fox ran over the lazy dog.
  • Multiple Formatter - The multiple formatter is used when a developer needs to replace {} at multiple places. 
For example, str = “The { } brown fox ran over the { } dog.” str.format(“quick”, “lazy”) Output - The quick brown fox ran over the lazy dog.
  • Positional and Keyword Arguments Formatter - 
When using the formatters without index, the str.format() method will replace the curly braches with the strings in order, but if you want to control the order of strings without keeping in mind which string to write first, then you can use indexing.  For example, str = “The {1} brown fox ran over the {0} dog.” str.format(“lazy”, “quick”) Output - The quick brown fox ran over the lazy dog.
  • Type Specification : 

Type Specification specifies the type of string which is to be replaced.  For example, str = “It is {0:d}℃ in {}” str.format(-1,“Netherlands”) Output - It is -1℃ in Netherlands.

The map(), filter(), and reduce() are in-built functions which enable the functional programming in Python. 

  • map()  -  map() function takes another function as a parameter along with an iterable sequence and returns an output after mapping each iterable in sequence.

For example, 

def func(obj) :

    return obj*obj  

val = map(func, (1,2,3,4)) 

print(val) 

print(list(val))

Output  - 

 

 

[1, 4, 9, 16]

map() enables the functional programming by associating with lambda functions that don not have any name and are passes as an argument to other function. 

tupple=(1,3,5,7,9,11,13)

new_tupple=tuple(map(lambda x : x+1, tupple))

print(new_tupple)

Output - 

(2, 4, 6, 8, 10, 12, 14)

filter()  -  filter() function takes the function and values and filters out the values that are true to the condition the condition defined or not.

For example, 

def func(obj) :

    return obj>=5 

val = filter(func, (5,6,7,2)) 

print(val) 

print(list(val))

Output  - 

 

[5, 6, 7]

Like map(), filter() can also used for functional programming and can reduce lines of code.

For example, 

val = filter(lambda x : (x>=5), (5,6,7,2)) 

print (list(val))

Output - [5, 6, 7]

reduce() - reduce() function applies a given function cumulatively to all the iterables and returns a single value. reduce() function needs to be imported from the functools module. 

For example,

from functools import reduce

reduce(lambda a,b : a*b , [10,2,5,7])

Output - 

700

 

Hire freelance Ultragenius Developers based on skills

file_type_php
file_type_django

Frequently Asked Questions

Ultragenius is one of the leading platforms for hiring remote talent and connecting freelance and part-time developers with Silicon Valley businesses. We focus on finding the best talents who will perform extremely well and will be easily integrated into your teams. We filter out only the top 1% most skilled freelance developers among the 20K+ developers who have applied on our platform. Candidates have to prove their self-reported experience by giving Ultragenius’ s skill tests.

Ultragenius first tests the developer’s skill set by conducting a two and half hour hiring test. Our hiring test judges a candidate on all aspects like aptitude, case study analysis, verbal and reasoning, coding questions based on data structures and algorithms, software engineering, system design, and more. Then, there is another round for the candidates who are selected from this round called “Higher-level Assessment Skill Test”, which is a video round that deeply analyzes freelance developers’ major skills and asks questions about the projects they have worked upon.

Fill up the form which is on every hiring freelancers’ page and we will inform you once we select the top 1% freelance Python developers matching your job requirements.  After analyzing the candidates based on their resumes and two assessment tests, we provide you the feedback quickly. And if the freelancers selected by our team are fit for your job role, then we also provide the onboarding.

 

Ultragenius offers you only the most skilled freelance developers who are top 1% among the 20K+ freelance developers who have applied on our platform. After a rigorous selection and testing process, we sort out only the top candidates for you. You can check out Ultragenius’ s selection process for hiring freelance Python developers on http://www.ultragenius.club/hire-python-freelancer

 

Ultragenius provides you the best facility to hire freelancers in more than 50 skills like React, Angular, Javascript, Node, Java, Python, Magento, Ruby On Rails, Golang, PHP, WordPress, .NET, Android, iOS, DevOps, Machine Learning, and many more.




Find the most skilled freelancer with the dev and IT Skills you need

Angular.js Freelancers

React.js Freelancers

Node.js Freelancers

Android Freelancers

Blockchain Freelancers

iOS Freelancers

PHP Freelancers

.NET Freelancers

Javascript Freelancers

Magento Freelancers

Python Freelancers

Ruby On Rails Freelancers

WordPress Freelancers

Full Stack Freelancers

HTML Freelancers

Software Freelancers

Java Freelancers

Typescript Freelancers