Hire Python Developers In 48 Hours

With every business leaping toward the online market, there is a high demand for experienced and dedicated Python developers to build software applications. 

Hiring expert Python developers could be highly advantageous for your project, since Python dominates popular domains such as Machine Learning, AI, and Web Development.

And the fact that Python Python developers offer an effective solution at an affordable price, makes businesses opt for the solution.

So If you want to hire Python developers for your company, then you are at the right place.

Hiring expert Python developers could be highly advantageous for your project, since Python dominates popular domains such as Machine Learning, AI, and Web Development.

And the fact that freelance Python developers offer an effective solution at an affordable price, makes businesses opt for the solution.

So If you want to hire Python developers for your company, then you are at the right place.

Python is a high-level interpreted object-oriented programming language with applications in various domains such as web development, Machine Learning, Artificial Intelligence, etc. 

The language was built to emphasize code readability and provide developers with the freedom to write less code that could execute similar operations as other programming languages.

Later it evolved and became a simple and consistent programming language with extensive library support for different AI, ML, and web development practices.

Today tech giants and top companies such as NASA, IBM, Netflix, and many others use Python for best development practices.

Python is fast, easy, efficient, and great for developing scalable, reliable, and robust software applications. Let’s look at a few reasons why you need to Hire Python developers for your project: 

• Clear and concise syntax. It uses less code and saves lots of time.
• Extensive libraries and framework support, from web development to ML, Data Science, Blockchain, and AI, help you accomplish any programming task easily. You can use the libraries for purposes such as unit testing, GUI, databases, image manipulation, etc.
• Python offers all the necessary resources a Python developer needs to build robust solutions
• You can hire Python developers to solve almost every programming task – data analysis, web applications, desktop applications, scripting, automation, etc.
• Python is extremely extensible in terms of building applications with other languages like C or C++. 
• Developers can introduce new features using other languages, which gives them flexibility in developing any new functionality.
• Python is a highly scalable language; it is used by popular tech giants like Instagram and Pinterest for handling large traffic volumes while scaling the application from the core.
• Python can run on any platform be it Windows, OS X, Linux, and BSD. It also runs on many different web servers (such as Apache), which means that you can use the same code anywhere, everywhere.
• Python is one of the most sustainable programming languages. It has extensive libraries, frameworks for every task and is open source. It will only grow more and more in the future.

Below are some key points that we at Optymize apply in our process of filtering through over 10,000 developers. You can use these in your process to hire Python developers.

• • Your needs and work culture: You need to clearly specify the requirements of the project, your work culture, your tech stack so that the Python developers can have a clear idea of  what is required of them. 
  • Years of experience and expertise: Now be specific about the role, technology and tools needed for it and the number of years of experience in it. You can also opt for Python developers with expertise in other technologies such as frontend, AI, data science, database, etc.
  • Experience in Cross Platform Development: For sure a developer with expertise in multiple domains is always a priority, however experience matters. It is essential to hire Python developers with years of expertise in web development.
  • Projects in the past: You can shortlist and prioritize developers on the basis of their past works. Whether it is developing web applications, or building embedded systems, look for developers who have worked on similar projects as yours. 
  • Remote Work Experience: Python developers with past Python work experience can be a priority as they have first hand experience of working remotely, they can seamlessly communicate, and manage tasks at hand.
  • Soft Skills: Communication skills are essential when hiring a Python developer. As they are working remotely, they have to be efficient in communicating the progress, sharing feedback, and collaborating with other team members and clients.

Q. What are the key features of Python?

The following are the significant features of Python, and they are:

• Interpreted Language: Python is an interpreted language that is used to execute the code line by line at a time. This makes debugging easy.

• Highly Portable: Python can run on different platforms such as Unix, Macintosh, Linux, Windows, and so on. So, we can say that it is a highly portable language.

• Extensible: It ensures that the Python code can be compiled on various other languages such as C, C++, and so on.

• GUI programming Support: It implies that Python provides support to develop graphical user interfaces

Q. How memory management is done in Python?

• In Python memory management is done using private heap space. The private heap is the storage area for all the data structures and objects. The interpreter has access to the private heap and the programmer cannot access this private heap. 

• The storage allocation for the data structures and objects in Python is done by the memory manager. The access for some tools is provided by core API for programmers to code.

• The built-in garbage collector in Python is used to recycle all the unused memory so that it can be available for heap storage area.

Q. Define iterators in Python?

In Python, an iterator can be defined as an object that can be iterated or traversed upon. In another way, it is mainly used to iterate a group of containers, elements, the same as a list.

Q. What is the difference between a list and a tuple in Python?

The difference between a tuple and list is as follows:

Q. When should you use Python for a project?

Although likes and dislikes are highly personal, a developer who is “worth his or her salt” will highlight features of the Python language that are generally considered advantageous (which also helps answer the question of what Python is “particularly good for”). Some of the more common valid answers to this question include:

• Ease of use and ease of refactoring, thanks to the flexibility of Python’s syntax, which makes it especially useful for rapid prototyping.
• More compact code, thanks again to Python’s syntax, along with a wealth of functionally-rich Python libraries (distributed freely with most Python language implementations).
• A dynamically-typed and strongly-typed language, offering the rare combination of code flexibility while at the same time avoiding pesky implicit-type-conversion bugs.
• It’s free and open source! Need we say more?

With regard to the question of when using Python is the “right choice” for a project, the complete answer also depends on a number of issues orthogonal to the language itself, such as prior technology investment, skill set of the team, and so on. 

Although the question as stated above implies interest in a strictly technical answer, a developer who will raise these additional issues in an interview will always “score more points” with me since it indicates an awareness of, and sensitivity to, the “bigger picture” (i.e., beyond just the technology being employed). 

Conversely, a response that Python is always the right choice is a clear sign of an unsophisticated developer.

Q: What are some drawbacks of the Python language?

For starters, if you know a language well, you know its drawbacks, so responses such as “there’s nothing I don’t like about it” or “it has no drawbacks” are very telling indeed.

The two most common valid answers to this question (by no means intended as an exhaustive list) are:

• The Global Interpreter Lock (GIL). CPython (the most common Python implementation) is not fully thread safe. In order to support multi-threaded Python programs, CPython provides a global lock that must be held by the current thread before it can safely access Python objects. As a result, no matter how many threads or processors are present, only one thread is ever being executed at any given time. In comparison, it is worth noting that the PyPy implementation provides a stackless mode that supports micro-threads for massive concurrency.

Execution speed. Python can be slower than compiled languages since it is interpreted.

Q. Write a program to display the Fibonacci sequence in Python?

# Displaying Fibonacci sequence 

n = 10

# first two terms

n0 = 0

n1 = 1

#Count

x = 0 

# check if the number of terms is valid

if n <= 0:

   print("Enter positive integer")

elif n == 1:

   print("Numbers in Fibonacci sequence upto",n,":")

   print(n0)

else:

   print("Numbers in Fibonacci sequence upto",n,":")

   while x < n:

       print(n0,end=', ')

       nth = n0 + n1

       n0 = n1

       n1 = nth

       x += 1

Output:

0, 1, 1, 2, 3, 5, 8, 13, 21, 34,

Q. What is Django? Why should we use this Python Framework?

Django is a high-level python web framework that supports agile growth and clean pragmatic design, built through experienced developers, this cares much about the trouble of web development, so you can concentrate on writing your app without wanting to reinvent the wheel. It was developed for realistic design, clean, rapid development.

List the features of Django-

• Excellent documentation
• Python web framework
• SEO optimized
• High scalability
• Versatile in nature
• Offers high security
• Thoroughly tested
• Provides rapid Development

Some important advantages of Django are:

• it is a framework of python language which is very simple to learn
• Django is a multifaceted framework
• When it comes to security Django is the best framework
• Scalability is added advantage of Django

The main goal to designing Django is to make it simple to its users, to do this Django uses:

• The principles concerning rapid development, which implies developers can complete more than one iteration at a time without beginning the full schedule from scratch;
• DRY philosophy — Do not Replicate Yourself — that means developers can reuse surviving code and also focus on the individual one.

Q. Explain the database connections in Python Flask.

Database-powered applications are supported by the flask. The relational database systems need to create a schema that requires piping the schema.sql file into an SQLite3 command. So, in this case, you need to install the SQLite3 command on your system to initiate and create the database in the flask.

We can request a database using flask in three ways, and they are:

• before_request(): Using this we can request database before only without passing arguments.
• after_request(): This method is called after requesting the database and also send the response to the client.
• teardown_request(): This method is called in the cases where the responses are not guaranteed and the exception is raised. They have no access to modify the request.

Q. What are the OOP’s concepts available in Python?

Python is also an object-oriented programming language like other programming languages. It also contains different OOP’s concepts, and they are 

• Object– An object in Python is defined as an instance that has both state and behavior. Everything in Python is made of objects.

• Class– Class is defined as a logical entity that is a huge collection of objects and it also contains both methods and attributes.

• Method- The Method is defined as the function associated with a particular object. The method which we define should not be unique as a class instance. Any type of object can have methods.

• Encapsulation- Encapsulation is one of the most important aspects of object-oriented programming. The binding or wrapping of code and data together into a single cell is called encapsulation. Encapsulation in Python is mainly used to restrict access to methods and variables.

• Abstraction- Abstraction can be defined as hiding unnecessary data and showing or executing necessary data. In technical terms, abstraction can be defined as hiding internal processes and showing only the functionality. In Python abstraction can be achieved using encapsulation.

• Inheritance- When an object of child class has the ability to acquire the properties of a parent class then it is called inheritance. It is mainly used to acquire runtime polymorphism and also it provides code reusability.

Polymorphism- By using polymorphism in Python we will understand how to perform a single task in different ways. For example, designing a shape is the task and various possible ways in shapes are a triangle, rectangle, circle, and so on.

Q. Are multiple inheritances supported in Python?

Multiple inheritances are supported in python. It is a process that provides flexibility to inherit multiple base classes in a child class. 

An example of multiple inheritances in Python is as follows:

class Calculus:  

def Sum(self,a,b):  

return a+b; 

class Calculus1:  

def Mul(self,a,b):  

return a*b;  

class Derived(Calculus,Calculus1):  

def Div(self,a,b):  

return a/b;  

d = Derived()  

print(d.Sum(10,30))  

print(d.Mul(10,30))  

print(d.Div(10,30))

Output:

40

300

0.3333

Q. What is the syntax for creating an instance of a class in Python? Can you create an empty class in Python?

Ans: The syntax for creating an instance of a class is as follows:

<object-name> = <class-name>(<arguments>)

Empty class in Python is defined as a class that does not contain any code defined within the block. It can be created using pass keywords and object to this class can be created outside the class itself.

Example:

class x:

  pass

obj=x()

obj.id="123"

print("Id = ",obj.id)

Output:

123

Q. Define Constructor in Python? Can you create a Constructor in Python?

Constructor is a special type of method with a block of code to initialize the state of instance members of the class. A constructor is called only when the instance of the object is created. It is also used to verify that they are sufficient resources for objects to perform a specific task.

There are two types of constructors in Python, and they are:

• Parameterized constructor
• Non-parameterized constructor

To create a constructor:

The _init_ method in Python stimulates the constructor of the class. Creating a constructor in Python can be explained clearly in the below example.

class Student:  

def __init__(self,name,id):  

self.id = id;  

self.name = name;  

def display (self):  

print("ID: %d nName: %s"%(self.id,self.name))  

stu1 =Student("nirvi",105)  

stu2 = Student("tanvi",106)   

#accessing display() method to print employee 1 information     

stu1.display();   

#accessing display() method to print employee 2 information  

stu2.display();

Output:

ID: 1

Name: nirvi

ID: 106

Name: Tanvi

Q. How do You Create a Global Variable in a Function?

We can create a global variable by designating it as global within every function that assigns to it; we can utilize it in other functions:

Code

global_var = 0  

def modify_global_var():  

    global global_var # Setting global_var as a global variable  

    global_var = 10  

def printing_global_var():  

    print(global_var) # There is no need to declare global variable  

modify_global_var()  

printing_global_var() # Prints 10  

Output:

10

Q. How do you Identify and Deal with Missing Values?

• Identifying missing values 

We can identify missing values in the DataFrame by using the `isnull()` function and then applying `sum()`. `Isnull()` will return boolean values, and the sum will give you the number of missing values in each column. 

In the example, we have created a dictionary of lists and converted it into a pandas DataFrame. After that, we used isnull().sum() to get the number of missing values in each column.  

import pandas as pd

import numpy as np

# dictionary of lists

dict = {'id':[1, 4, np.nan, 9],

        'Age': [30, 45, np.nan, np.nan],

        'Score':[np.nan, 140, 180, 198]}

# creating a DataFrame

df = pd.DataFrame(dict)

df.isnull().sum()

# id       1

# Age      2

# Score    1

• Dealing with missing values

There are various ways of dealing with missing values. 

1. Drop the entire row or the columns if it consists of missing values using `dropna()`. This method is not recommended, as you will lose important information.
2. Fill the missing values with the constant, average, backward fill, and forward fill using the `fillna()` function.
3. Replace missing values with a constant String, Integer, or Float using the `replace()` function.
4. Fill in the missing values using an interpolation method.   

Note: make sure you are working with a larger dataset while using the `dropna()` function. 

# drop missing values

df.dropna(axis = 0, how ='any')

#fillna

df.fillna(method ='bfill')

#replace null values with -999

df.replace(to_replace = np.nan, value = -999)

# Interpolate

df.interpolate(method ='linear', limit_direction ='forward')

Q. How can you Replace String Space with a given Character in Python?

It is a simple string manipulation challenge. You have to replace the space with a specific character.  

Example: a user has provided the string “D t C mpBl ckFrid yS le” and the character “a”, and the output will be “DataCampBlackFridaySale”.

In the `str_replace()` function, we will loop over each letter of the string and check if it is space or not. If it consists of space, we will replace it with the specific character provided by the user. Finally, we will be returning the modified string. 

def str_replace(text,ch):

    result = ''

    for i in text: 

            if i == ' ': 

                i = ch  

            result += i 

    return result

text = "D t C mpBl ckFrid yS le"

ch = "a"

str_replace(text,ch)

# 'DataCampBlackFridaySale'

Q. Given a positive integer num, write a function that returns True if num is a perfect square else False.

This has a relatively straightforward solution. You can check if the number has a perfect square root by:

1. Finding the square root of the number and converting it into an integer.
2. Applying the square to the square root number and checking if it’s a perfect square root.
3. Returning the result as a boolean. 

Test 1  

We have provided number 10 to the `valid_square()` function. 

1. By taking the square root of the number, we get 3.1622776601683795.
2. By converting it into an integer, we get 3.
3. Then, take the square of 3 and get 9.
4. 9 is not equal to the number, so the function will return False. 

Test 2

We have provided number 36 to the `valid_square()` function. 

1. By taking the square root of the number, we get 6.
2. By converting it into an integer, we get 6.
3. Then, take the square of 6 and get 36.
4. 36 is equal to the number, so the function will return True. 

def valid_square(num):

    square = int(num**0.5)

    check = square**2==num

    return check

valid_square(10)

# False

valid_square(36)

# True

Q. Remove Duplicates from Sorted Array

Given an integer sorted array in increasing order, remove the duplicate numbers such that each unique element appears only once. Make sure you keep the final order of the array the same.

It is impossible to change the length of the array in Python, so we will place the result in the first part of the array. After removing duplicates, we will have k elements, and the first k elements in the array should hold the results. 

Example: input array is [1,1,2,3,3], the function should return 3.

Solution:

1. Run the loop for the range of 1 to the size of the array.
2. Check if the previous number is unique or not. We are comparing previous elements with the current one.  
3. If it is unique, update the array using insertIndex, which is 1 at the start, and add +1 to the insertIndex. 
4. Return insertIndex as it is the k. 

This question is relatively straightforward once you know how. If you put more time into understanding the statement, you can easily come up with a solution.

With businesses of all kinds shifting their focus to the online world, there is a huge demand for dedicated Python developers—who are without doubt the best choice because of their affordability and effective operations.

Optymize is an emerging worldwide talent marketplace where you can rest assured about hiring Pythonrs as Optymize does all the heavy lifting. With the help of our verified and experienced developers, we can assure you that your project requirement will be fulfilled within the deadline. 

We will work with you throughout the process and will assist you whenever you need us, our support team works 24*7 so you can feel free to ask us anything anytime. 

To ensure you get the best talent, we have chosen the top 3% of worldwide Python developers through a rigorous vetting process. Our team of expert developers can develop a matchless, scalable and user friendly application to fulfill all your project requirements.

We value your time and urgency. Hence, we developed a simple three-step hiring process—which can get you a dedicated Python developer in just 2 days—we’re committed to providing the best service possible.

Step1-A quick call to help us better understand your needs.

Step2– We’ll provide you with a list of top Python developers within 48 hours

Step3– Review Python Python developers’ profiles, schedule interviews with them, and then bring on board those you feel most comfortable with for a risk-free trial.

Optymize has a stellar track record of working with fortune 500 companies, with us many companies have scaled their teams overnight. Hire today.