Sign in

Featured Categories

Python

Python Developer Salary [2023]

by
A deep dive into Python Developer Salary

You’ve learned Python. You love Python. And now, you’re ready to take your career to the next level by becoming a Python developer. But how much should you expect to earn? This guide will look at the average Python developer salary in the United States and worldwide. We’ll also explore factors that can impact your salaries, such as your experience, skills, and location. So whether you’re just starting your Python career or looking to make a move, read on for everything you need to know about Python developer salaries. Who Is A Python Developer Python developers are in high demand. They are the ones who can write code that is both simple and effective. Python is the most popular programming language in the world, and for good reason. It’s easy to learn and read, making it perfect for beginners. But don’t be fooled by its simplicity—Python developers can write sophisticated code to solve complex problems. Python developers are in various industries, from web development to data science. They use their coding skills to tackle various tasks, such as creating websites, designing databases, and building applications. Companies also employ Python developers to automate processes, create machine learning algorithms, and build artificial intelligence applications. Python developers have the opportunity to work for companies both large and small. Larger companies often offer better salaries since the demand for Python developers is so high. On the other hand, smaller startups can offer the chance to work with leading-edge technology and the potential for rapid career growth. Python developers can also find high-paying roles in the finance industry or as independent contractors. These roles require specialized expertise in Python-related technologies, so salaries are generally competitive. A Python developer can receive a substantial salary with the proper training, qualifications, and experience. Python developers can expect to earn competitive salaries, mainly if they specialize in certain areas. Python-related technologies such as machine learning and artificial intelligence are in demand, and those with the skills to use them can command higher salaries. In addition, the prospects for Python developers look bright; demand is expected to grow as businesses recognize the power of Python. Is There a Demand For Python Developers In the Market? Python is currently one of the most in-demand programming languages in the world, and that demand shows no signs of slowing down. In fact, according to recent studies, Python is projected to become the fastest-growing programming language by the year 2020. This makes python developer salaries an extremely attractive proposition for any would-be programmer. Not only are you guaranteed a high demand for your skills, but you can also expect to be well-compensated for your expertise. So if you’re looking for a high-paying, rewarding career in programming, Python is the language to learn. The demand for python developers is not just limited to the tech industry. Python has become a prevalent language for data analysis and machine learning, which means that the scope of job opportunities for python developers is only increasing. Companies like Google, Amazon, and Facebook have invested heavily in Python and are looking for skilled developers to help them get ahead. Furthermore, the demand for experienced python developers extends beyond the tech industry. Financial, legal, and medical firms are all now looking to hire python developers to assist with their data analysis and machine learning needs. With the right experience, you can also expect plenty of lucrative job opportunities in these industries. Finally, Python has become increasingly popular for developing apps, games, and websites. This has increased the need for python developers specializing in back-end development, web development, and software engineering. As a result, if you have the right skills and experience, you can expect to be handsomely rewarded for your work. Curious about Python programming but not sure where to start? Join Ethans Tech for a quick, informative dive into the world of Python in just 3 minutes! Let’s Discuss The Average Python Developer Salary In India When it comes to Python developer salaries, there is no definitive answer. How much you earn as a Python developer will depend on various factors, such as your experience level, the city you work in, and the company you work for. That said, there are some general salary trends we can look at. According to Indeed, the average Python developer salary in India is Rs 434,752. In the United States average python developer salary is $115,746, while in the United Kingdom, it’s £60,816.  Regarding python developer salary by experience, Entry-Level Python Developers can expect to earn an average of Rs 2,21,191 per year. Mid-Level Python Developers see a salary of Rs 3,34,159, while Senior-Level Python Developers enjoy a salary of Rs 5,12,194 per year. Additionally, developers who specialize in a particular area of Python development may see a higher salary. This may include Machine Learning Engineers who expect to earn Rs 1,365,924, Data Scientists at Rs 1,123,621, and Web Development Engineers at Rs 7,53,807. Regarding python developer salaries by location, developers in New Delhi may expect to make Rs 397,995. In contrast, those in Mumbai can expect to earn Rs 463,425, and those in Chennai could make Rs 437,569. Finally, salaries for Python developers can vary greatly depending on which company you work for, as well as the size of the company. For example, working for a startup may bring a higher salary than working for a more established business, as startups often seek experienced developers with various skills. In addition, the company’s size and financial status can significantly influence salary, as larger companies usually offer more competitive salaries. How Does Experience Level Affect Python Developer Salary If you are an experienced Python developer, you can expect a higher salary than a newly-hired one. According to Stack Overflow’s 2020 survey, developers with 5+ years of experience in Python earned an average of $110K – $140K. Meanwhile, those with just 1-2 years of Python experience averaged a salary range of $60K – $90K. But that doesn’t mean that if you’re starting, you won’t be able to make good … Read more

Common Interview questions for python in 2022?

by
Common Python Interview Questions | Ethan's Tech

Introduction Python is one of the most popular programming languages in the world, known for its simplicity and versatility. In 2022, the demand for Python developers continued to grow, making it a hot skill in the job market. Whether you are a fresh graduate or an experienced professional, preparing for a Python interview is crucial to landing your dream job. To help you with this, we have compiled a list of common interview questions for Python in 2022. 1. What is the difference between list and a tuple in Python? Ans: In Python lists and tuples are heterogeneous collections of objects. The list has a dynamic nature whereas tuple is having static characteristics. Both are used to store a collection of data and both are indexed and ordered objects, following are the four major differences between list and tuple: The list is mutable vs Tuple is immutable List is bit heavier and slower vs Tuple is lightweight and faster The tuples are more memory efficient than the list because tuples have less built-in operations. List is memory consuming whereas tuple is memory efficient. 2. Why do we need dictionary objects in Python? Ans : Python dictionary is basically well designed version of data structure that is known as hash map. For example, if list hold many information and on the 57th index salary is stored, it will be difficult to remember the index number. Whereas if we store the same data in a dictionary you can give an identifier to it in the form of a key, which is easy for the user to fetch/manipulate the data from the dictionary.  3. What do you know about Negative indexing in Python objects? How can we extract the last 3 elements from a tuple/list? Ans: Negative indexing in Python is used to eliminate the new-line space from the string and permit the string to except the last character. It is specially used to extract the last part of every group object in a dynamic way, If L is the list ,then L[-3:] gives the last 3 elements. Similar operations can be done in string and tuple. 4. What is a generator function in Python? Ans : Generator is the kinda function which generates (yields) values on the fly whenever we need it. Technically speaking, any function which has yield keyword instead of return keyword, is a generator function and it throws a generator object and not the actual data. When we need a stream of data we can generate the values out of this generator object. 5. What is the difference between sort and sorted function? Ans: The major difference between sort function and sorted function is that, sort is list function and sorted is built in function, sort will modify the list it is called on whereas sorted function can create any new sequence containing a sorted version of sequence it is given. 6. What is map, reduce and filter function in Python? Ans: Map Function-  Map Function is basically a higher-order function which takes mapping function. It can also be implemented with list comprehensions.  Reduce Function- Reduce Function transform the given list into single value by implementing the given function to all the elements.  Filter Function- Filter Function works on list and returns a subset of list. 7. What is list comprehension? Ans : List comprehension used for creating new list from other iterable like list, arrays, tuples, etc For Example [x**2 for x in range(1,25)] –> Works on range iterable of 24 elements and come up with 24 results 8. What is the Lambda function in Python ? When to use lambda function? Ans : Lambda functions are generally used when we need results from a function without storing it in memory. So it’s an anonymous function, which takes an input and returns results without being stored in memory. Lambda functions are generally used as an argument in another functions. 9. What is the significance of finally keyword in exception handling? Ans: Finally keyword is the block which we write to execute which must to be executed in any situation .Even if any exception is not handled and there is possibility of program crash, that time also finally gets run. 10. What is constructor in Python Class ? What is the use of the self keyword ? Ans: Constructor is the method which constructs the object which is used for instantiating an object from class. In python, _init_ is the constructor which is always called implicitly when we call class as a method. Self is the empty object which has to be passed as an first argument in any method in the class. 11. What is Multiple inheritance ? What is the Diamond inheritance? Ans: Multiple Inheritance is a class that can be derived from multiple classes in python. It is basically a feature of some object-oriented programming in which an object or class can inherit the characteristics. Diamond Inheritance is generally used for an ambiguity that arises when two classes B and C inherit A and another D inherits B and C. 12. What are Magic/Dunder methods in Python? Ans: Magic Method are special methods that starts and ends with double underscores hence it is named as dunder. It also helps in override functionality for built-in functions. _init_ is the example of dunder/method which we don’t call directly but being called on creation of an object. 13. What are decorators in Python? Ans: Decorator is a function which wraps another function and gives an extension to that another function without changing its definition. It is extremely useful as it allows the extension of an existing function, without any modification to original function. 14. What are steps to follow the CRUD database operation in Python? Ans: Following 6 generic steps; Importing DB Library  Creating Connection Creating Cursor to deal with DB Tables with connection object Run queries with the cursor object Commit with the connection object # Absent in case of Select /Dealing with structures Close Connection Object … Read more

Demand for Python Experts in 2022

by

Introduction: It has been noticed that the demand and the popularity of Python experts are growing every single day.  And it will continue to be growing more in the next coming years. Today, the Python programming language is the most popular language in this dynamic world where the trends and the technology are changing at a rapid pace. Python is the simplest programming language someone can learn no matter which background you belong.  Keep reading and find out why there is a huge demand for Python experts in 2022. This blog will make you understand the scope of Python developers, Python Automation Experts, Python used in Data Analytics, and the Career opportunities available in the world, and how the python experts are growing in this dynamic sector.  What are the basics of Python? Python, as a programming language, has a simple syntax that makes it easy to understand and learn. It has a compilation feature that helps the developers to cut down their half of the time and utilize it in a better way. It is more often used for building websites, automating tasks, data analyzing, and many more.  What are the Scopes of Python Developers? Python is one of the most used programming languages in this dynamic IT environment. And the future scope of python developers is bright as everything after the pandemic is getting digitized.  As many leading industries like NASA, Google, Amazon, Youtube, and Facebook are using the python programming language more, and due to this more companies are adopting Python as their programming language, this leads to an increase in the demand for python developers more and more.   The reasons for the scope of python developer: Python programming language supports various extensive languages  It is the most preferred language of data scientist and data analytics. It is widely used in Networking, cloud computing and Cyber security. Python has the opportunity for both fresher and experienced What Job roles which Python Developer needs to understand?  Data Scientist: Data Science is basically implementing statistics through programming, in python you get to learn most of the tools & frameworks of data science (Machine Learning & Artificial Intelligence). The job role of a data scientist is more in demand in these cities- Delhi-NCR, Mumbai, Pune & Bangalore. Artificial Intelligence/Machine Learning Engineers: Artificial Intelligence and Machine Learning require python as it has a simple syntax and the tools and frameworks are easier to handle with python as compared to Java or C, C++.  Web Developers: web development is always on-trend. It requires flexible languages to work and python is one of them that fits web development perfectly.  Conclusion: As we have come to the conclusion that, the demand for python and for python developers are never going out of the industry in this dynamic work culture of the IT sector. Python is considered a basic programming language which is a one-step solution and mainly a prerequisite for getting your foot in the IT sector. It doesn’t matter if you are a student or a professional and whether you are from a technical or non-technical background, you can learn Python in Pune and shape your career in a better way.

Is it Worth Learning Python in 2022?

by
Is it Worth Learning Python in 2022?

Introduction:  Python is considered as one of the best programming languages as compared to other languages as it is easy to learn, the syntax of python is not complex and python happens to be the future programming language because the demand of python developers are increasing day-by-day as the giants like Google, Amazon, Barclay, Capgemini, and many more are hiring python developers for their organizations. If you are really looking to kickstart your career into the IT sector, then you should enroll in Python classes in Pune from Ethans Tech as our institute offers the course from fundamental level to advanced level, and provides you all the hands-on exposure with capstone projects which will help you to build your career as per the IT world.  Why is Python important?  A python is an object-oriented programming language that is much faster to learn and it also decreases the complexity of coding as compared to other languages. Python is used for multi-tasking like automation, data analysis, web development, etc. It is important for the developers to learn python as a programming language as it is in-demand and the growth of python developers is increasing every single day as this programming language is simpler and more versatile which is commonly used nowadays.  Reasons to know the worthiness of learning Python in 2022:  Python Programming Language is one of the most commonly used languages in the tech world. If you really want to excel in your career and want to build up your coding skills as per the market requirement then you should know why you need to learn Python.  Here are a few reasons to know the worthiness of learning python in 2022:  It is very user-friendly: Python is considered as a user-friendly language as most of the crowd are moving towards the IT sector nowadays and python is the easiest language to learn and the syntax is easy to understand as compared to other languages.  Python is more versatile than other languages: Python is used for various tasks and to solve various problems in different sectors. Hence, it is the most commonly used language in the Tech world. Most of the top organizations use python in their projects.  Highest remuneration: As compared to Java developers and C++ developers, Python engineers have the most paying jobs in the IT world. It is the highest-paying scripting language currently.   Higher demand for Python developers: As per the organization’s demand and new technologies revolving around the IT sector, the demand for python developers is increasing every year. This is the major reason why engineers are moving into the python programming language more.  Is it worth learning Python?  Yes, Python is worth learning as python can perform any task and it is very easy to understand and gain knowledge regarding the sector. Python also provides various career opportunities in different fields which makes it more attractive for choosing this programming language.  Conclusion:  As per the above discussion, Python is worth learning in 2022 as there are more job opportunities for python developers and it has been considered as the most demanding future language in the Tech world.  If you really want to get into the IT sector and learn Python Programming Language with complete hands-on experience and real-time projects, you should join Python Training in Pune at Ethans Tech.    

Tableau Developer: How to Become, A Brief Introduction

by
Tableau Developer: How to Become, A Brief Introduction

Introduction:  Are you the only one who’s inclined to be a tableau developer?  It is one of the most desired jobs in the business intelligence industry. So, to make you aware of what all is needed to become a Tableau developer. What do you mean by Tableau?  Tableau is an effective and quickest developing data visualization tool used in the Business Intelligence Industry. It enables simplifying raw data in a completely effortlessly understandable format. Tableau allows creating data that may be understood through professionals at any level in an organization. It also permits non-technical customers to create customized dashboards. Tableau developer is an expert who creates solutions with the resource of data visualization to enhance business processes. This job comprises numerous tasks which include however are not limited to working with developers, creating BI dashboards and reports, and deriving insight from data to feedback sessions to better systems. This job is perfect for the ones who’ve strong business acumen, with a math-heavy background and exemplary data warehousing skills. How does Tableau work?  Tableau can extract data from a database like pdf, excel, text documents, R, Hadoop, Python, or SAS to cloud databases like Flipkart, Google sheet, Netflix, Amazon. The data is dragged off to the data engine of Tableau,  also known as the Tableau desktop. Here, the business analyst works on data, generates a dashboard, and shares it with the consumer, wherein the consumer reads this at the screen known as Tableau Reader.  Data is posted with numerous supported functions like collaboration, models of security, automation, distribution, etc.  In the end, the user can be capable of downloading a visualized data file on emails, desktop, or mobile. (understand the basics and sorts of Data Visualization in Business Analytics). Why use Tableau?  Bring Multiple Data Sources Into One Single Point Of Truth- If you have data in Excel and Access, and SQL Databases, and cloud-based applications, like Salesforce, Tableau can bring all of these collectively in only some clicks. No code is required.  This is one of the Tableau makes use of that enables you to see the business holistically and have one definitive source for all business reporting. Perform Basic ETL Operations Quickly- One of the best Tableau makes use of is performing basic ETL operations fast! If you want to convert data to get it into the layout you want, Tableau can do that right away with their automated data reshaper tool. Again, in just a few clicks, you may split fields, concatenate fields, join concatenated or calculated fields, eliminate white space and headers, change data formats.  What might take a SQL coder numerous minutes to write down code for, or a business individual using Excel a day to do, can now be done in seconds Provide beautiful dashboards & reports- One of the uses of Tableau software that we individually love is its visible features. Visual best practices are constructed, so even in case your end users recognize little about the way to present data effectively, Tableau can move a long way automatically to support making sure reports are both informative and eye-catching, and present data in a comprehensible manner. Automate Reporting- One of the uses of Tableau software is automatic reporting. You can effortlessly construct a report, then set it to point at a sure data set, have that data automatically refresh, and also you never need to contact it again. Set it and genuinely see insights and act on them.  No code, no extra time, no extra conferences needed.  Future & scope of Tableau:  One reason why tableau stands out among the BI tools is that there’s a huge variety of alternatives in terms of connectivity-starting from spreadsheets, databases, and even Big Data. Plus, you could access warehouses, cloud applications like Salesforce, and even connect to cloud databases like Amazon Redshift. Tableau can connect to any data you may likely assume. Apart from this, Tableau is prepared with a Web Data Connector, and it is used to drag API immediately from the web that allows you to connect any preferred data source. Tableau authorizes business customers to easily and quickly identify precious data in their expansive Hadoop datasets. It eliminates the want for its users to have knowledge of query languages that makes attractive data more possible for stakeholders.  Who are Tableau Developers?  Tableau Developer is the individual that plays data visualization, data analysis, and business intelligence processes of the company using the Tableau Platform. As its name suggests, Tableau developer develops, maintains, and manage a BI system by using Tableau software. It is one of the in-demand skills as more and more organizations are thinking about data analytics as a priority. What are the Roles and Responsibilities of Tableau?  Here are the most important roles and responsibilities of a Tableau Developer: Creating visualizations for the data extracted with the assist of Tableau Identifying styles and significant insights from data by analyzing it Designing dashboards Managing Tableau Server Managing huge data Twisting SQL queries for enhancing performances Examining glitches in business procedures and resolving them Finding the important thing regions of automation to make the business processes smooth Developing reference documents or reports for the finalized project What are the tools used by Tableau Developer? Below are the tools generally used by Tableau Developer: Tableau Desktop tools:  Web Data Connectors Drawing tools for Tableau Color tool for Tableau Workbook SDK for Tableau Workbook Tools for Tableau Tableau Server tools:  Portals for Tableau Remote for Tableau Enterprise Deployment for Tableau tabadmin tabcmd VizAlerts TabJolt TabMigrate TabMon Third-party tools & apps:  Alteryx Visual Analytics Kit Excel Add-In for Reshaping data Tableau Mobile for iPhone Vizable Conclusion:  Tableau is constructed for all varieties of businesses, which include small, medium, and huge enterprises. It also has a thriving and active network behind it. The job market seems promising to Tableau developers and also you too can end up one with relative ease.  Tableau developers are required to investigate and prepare the data for valuable data visualization. As of now, … Read more

Python: The Top Currency for IT Engineers-

by
Python The Top Currency for IT Engineers

Introduction:  Python is a programming language that can be learned through – students, non-technical persons, working experts, programmers, and entrepreneurs. As we’ve already mentioned by now that Python is easy to comprehend – it’s tremendously appropriate to all. Python has a huge scope and it has become a present-day tool for survival in today’s world. If you recognize Python then you’ll have the chance to work for your preferred company due to the fact that superb HRs and recruiters are constantly searching out experts who’re proficient and prolific in Python. What do you mean by Python? Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level in-built data structures, combined with dynamic typing and dynamic binding, create it terribly engaging for fast Application Development, additionally as to be used as a scripting or glue language to attach existing elements together. Python’s simple, simple to find out syntax emphasizes readability and thus reduces the value of program maintenance. Python supports modules and packages, which inspires program modularity and code reuse. The Python interpreter and therefore the in-depth normal library is obtainable in source or binary kind without charge for all major platforms and may be freely distributed. Why is Python suddenly the top currency for IT engineers? Well, Python genuinely is the lottery ticket to that huge buck job in India and the US. Ask any data engineer, and he/she is most likely to mention that Python is powering the data industry. According to an unbiased data survey company, Python is the primary skill in the IT and DevOps enterprise for Big Data Analytics, Visualization, and AI ML companies. Every year, 150,000 Python engineers’ jobs are featured in the main job forums throughout the world, which include Glassdoor, Indeed.com, and LinkedIn. Out of which, only 27% are full of excellent expertise and 10% of them maintain their job for the subsequent 18 months. That means, only 7% of the entire Python discovered population is genuinely minting cash and making hay at the same time as the sun shines at the data industry. In its standard application, Python programming is used throughout all primary fields in Computing, such as – Website Development Mobile Application Development Data Science and Deep Learning Voice Commerce and Search Engine Assistant Chatbot development Fintech and Blockchain Virtualization, Containerization and Data Storage Location Data Mapping, 5G and Customer Data Management Platforms Who hires python and in which areas? Python is basically used as a DevOps program however it has additionally made its wild swing into Mathematics, System Administration, and Cyber Security. In fact, all essential Big Data and Cloud Storage organizations are operating on Risk Analytics and Predictive Intelligence constructed on a mixture of Python and different programming languages. Major organizations including Google, HP, Dropbox, YouTube, Oracle, Facebook, IBM Red Hat, Cisco, PIXAR, and so on, depend on a team of Python trainers, engineers, and Python direction developers to include thoughts into production databases. In the United States alone, a Python full-stack developer makes anywhere near to $50,000 per month relying on the sort of projects the team handles. Closely following the US market, you have Denmark, Norway, Netherlands, Canada, and the United Kingdom job markets. These markets are handsomely paying Python direction trainers with quite excessive packages and perks. With the approaching of age in Cloud Computing and Hybrid Data Storage infrastructure, gaining knowledge of Python courses units the ball rolling for hundreds of ambitious fresh graduates who’re eyeing the coveted million bucks of their salary account by 2024. Why should I learn Python?  Python permits the developers to carry out cross-language operations effortlessly and might effortlessly be incorporated with Java, NET components, or C/C++ libraries. Its incredibly huge nature permits it to get prolonged to other programming languages effectively. Learnability: Is it gonna be hard? No! Not at all. Python is the first language of selection in several universities and even youngsters in school are learning to program with Python. The Python language was designed to ease the programming with English-like syntax, it slowed down all the low-level tasks and provided a high-level abstraction for you to perform any tasks you want. Increased productivity: After studying a programming language, what are you planning to do? Do you want to construct applications, web services, interesting games, automate a repetitive task, perform complicated scientific or numeric calculations or acquire insights from a few pieces of data? Python has been given you included with everything. It’s one of the most efficient languages out there. High-paying salaries: Learning Python is an excellent investment you could make today. Python developers are paid the highest particularly in the area of web development, machine learning, and data science. The salaries can range from $70,000 to $1,50,000 relying on the area and your experience in the industry. There is a lot of demand for Python developers in the IT industry so that you won’t have any problem locating Python jobs in the market. Conclusion:  Python in its best form usually emphasizes simple readability and ergo, it has the ability to reduce the incurred price of maintenance in addition to programs. Python helps modules and packages even as app development and coding and this feature of Python promotes program modularity and code reusability to its core. For beginners as well as expert coders Python interpreters together with their preferred library are continual to be handed to the programmer. This library is binary and it could be accessed with none on all platforms, this makes Python freely allotted everywhere. Python has a lot to provide and for this simple reason, Python has been declared as one of the most cherished programming languages of 2021. Ethans is the top Python training institute in Pune with a job placement assistance program, after successful completion of the course, students are eligible for interviews at numerous IT companies. Our experts train the students on Python advanced interview questions for Python openings in Gurgaon and other cities. Our program is likewise targeted at offering python training in … Read more

Reasons to opt for Python course from Ethans Tech

by
Reasons to opt for Python course from Ethans Tech

Introduction Python is developing bigger and bigger. Python is considered to be one of the most famous languages in the latest times. As Python does not consist of complicated syntax or difficult rules, it is good for beginners and learners too. It resembles the English language very closely. Ethans Tech is the number one training institute, offering Python training in Pune since 2015. Python is our highly demanded skill and we’re market leaders in cloud, automation, and analytics helping working experts and fresher’s to get into Python developer internships and its various software development streams from scratch. Python Training in Pune is a certification-orientated course targeted on 100% Practical and Project-based learning experience. Our online Python certification course is constantly in demand, improving from the last 5 years since we’ve got started our operations in Pune. Reasons to choose Ethans Tech for the course  Training from the experts- Python Trainer’s personal guidance and individual interest in elegance are offering an edge over competitors. Separate doubt classes and Ethans knowledge sharing dashboard assist students to clear minimum doubts in the class. They are all with huge industry and teaching experiences. Some of them maintain more than decades of experience in the same industry. Job assistance program- Ethans being one of the outstanding institutes has a huge network in the market. Ethans have collaboration with multiple organizations that helped 3000+ freshers to get the place and working experts to switch their domains in top organizations throughout India. On course completion, one will become eligible for placement assistance. The global certification-The certificate is issued to the respective student, after the course completion and evaluation that’s legitimate in a couple of organizations and apparently, it will become an aspect of your curriculum vitae a good way to exhibit your skillset. Conclusion In today’s competitive world, all of us realize the significance of selecting the right mentor and best training associate to offer end-to-end services to resources. Python training in Pune at Ethans can assist individuals to construct a bridge to develop their career and also acquire a python global certification. So what are you waiting for, just enroll today and start upgrading your skills.  

Python vs Java

by
Python-vs-Java

Introduction  Python and Java are two of the most popular programming languages used today. Python is a high-level programming language that emphasizes code readability and simplicity, while Java is an object-oriented language known for its speed and scalability. Choosing the right programming language is crucial for any developer, as it can impact the efficiency and success of a project. Python is a versatile language that is commonly used in fields such as data science, machine learning, and web development. It is easy to learn and has a large community of developers who contribute to its libraries and frameworks. Java, on the other hand, is widely used in enterprise applications, mobile development, and game development. It is a powerful language with strong security features and is ideal for building large-scale applications. Choosing the right programming language ultimately depends on the specific needs and requirements of a project. Factors such as the scope of the project, the target audience, and the available resources should be considered when making a decision. By choosing the right language, developers can create efficient, scalable, and successful applications. About Python Python is a user-friendly, interpreted programming language that has gained immense popularity since its creation in 1991 by Guido van Rossum. Its key features include simplicity, readability, and a vast library of pre-built modules.  Python is versatile, and it is utilized in a variety of fields such as web development, artificial intelligence, and data science. With the rise of big data and the Internet of Things, the future scope for Python is promising.  The language’s open-source nature and the large community of developers are continuously working to improve and expand its functionality. Python’s increasing use and adoption demonstrates its immense potential and value to the programming community. About Java Java is an object-oriented programming language created by James Gosling at Sun Microsystems in 1995. It is popular due to its speed, security, and scalability features, which make it an excellent choice for building enterprise applications, mobile development, and game development. Java’s key features include its “write once, run anywhere” feature, which allows developers to write code on one platform and run it on any other platform without modification. It also has a vast array of libraries and frameworks available, making it a popular choice for developers of all levels. While Java has a reputation for being difficult to learn, its syntax is similar to that of other programming languages, and it is designed to be intuitive and easy to use. With the right resources and dedication, anyone can learn to code in Java. Comparison between Python & Java  Python and Java are two of the most popular programming languages used by developers today. Each language has its unique strengths and weaknesses, making them better suited for certain tasks and applications.  In this comparison, we’ll examine some key factors that differentiate the two languages. Speed: Java is generally faster than Python due to its Just-In-Time (JIT) compiler, which translates code into machine language at runtime. Python, on the other hand, is interpreted, which can lead to slower performance. Legacy: Java has a long history and is more established in the enterprise space, making it a popular choice for large-scale applications. Python, on the other hand, is newer and has gained popularity in the data science and machine learning communities. Code: Python’s syntax is simple and easy to read, making it a favorite among beginners. Java’s syntax is more complex and requires more lines of code to accomplish the same task. Popularity: Both languages are widely used, with Java being more popular in enterprise applications and Python being more popular in data science and machine learning. Practical Agility: Python’s ease of use and a vast array of libraries and frameworks make it highly versatile and adaptable. Java’s robustness and stability make it a solid choice for building enterprise applications. Syntax: Python uses whitespace to delimit code blocks, while Java uses curly braces. This can make Python code easier to read, but also more susceptible to errors caused by indentation. Salary: Both Python and Java developers are in high demand, with competitive salaries in the tech industry. Whitespace: While Python’s whitespace can make code more readable, it can also lead to errors caused by inconsistent indentation. Performance: Java’s JIT compiler makes it faster than Python in most cases, but Python’s ease of use and a vast array of libraries and frameworks make it a popular choice for data science and machine learning applications. Overall, the choice between Python and Java depends on the specific needs of the project and the preferences of the developer. Uses and Applications of Java VS Python in diverse fields  Java and Python are both widely used programming languages in various fields. In game development, Java is preferred for mobile games, while Python is used for scripting and prototyping. For machine learning, Python is a popular choice due to its simplicity and a vast library of frameworks.  In contrast, Java is less popular for machine learning due to its complexity and limited library. Both languages are commonly used for web development, with Java being preferred for enterprise-level applications and Python for smaller-scale applications.  For data science, Python is the most popular language due to its simplicity and extensive libraries. Java is also used for data science, but its popularity is limited due to the lack of libraries and complexity. In summary, Python is preferred for simplicity and ease of use, while Java is preferred for performance and enterprise-level applications. Java vs Python: Comparison Table To better understand the differences and comparisons between these two programming languages, down below is a concise comparison table. Parameter  Python Java 1.             Syntax Easy to read and understand, Concise Difficult to read and remember, Complex 2.            Performance Slower Faster 3.            Type of Language Interpreted language Compiled language 4.            Typing Dynamically-typed Statically-typed 5.            Line of Code Less line of code More line of code 6.            Learning curve Easy to learn Difficult to learn 7.            Used best for Machine … Read more

Why Learn Python – Top 7 Reasons to Learn Python in 2021

by
Why Learn Python – Top 7 Reasons to Learn Python

Why Learn Python in 2021? One of the first and foremost reasons to learn Python is that the language is very easy to learn and that is why it is getting popular day by day in India as well as abroad. Python has a universal appeal and let it be data science, Big Data, application development, and coding Python can find its way anywhere and is applicable almost everywhere in any industry; that’s who much versatile Python is! For learning Python, you just have to know Basic English and Mathematics and that’s it. You don’t have to worry about syntax or anything else. Python in its simplest form always emphasizes simple readability and ergo, it has the potential to reduce the incurred cost of maintenance as well as programs. Python supports modules and packages while app development and coding and this feature of Python promote program modularity and code reusability to its core. For beginners as well as professional coders Python interpreter along with its standard library are always available to the programmer. This library is binary and it can be accessed without any in all platforms, this makes Python freely distributed everywhere. Python has so much to offer and for this simple reason, Python has been declared as one of the most loved programming languages of 2020. Python comes in handy if you want to get introduced to web development. So, if you are a candidate that aspires to become a web developer which is one of the most in-demand skills of the 21st century because every business irrespective of its size needs a website, Python can make their lives easier. Are you thinking how? For your information, Python comes with a wide range of innate web development frameworks such as Django, Flask, Pyramid, TurboGears, Web2Py, Bottle, CherryPy, Hug, Falcon, Sanic, and FastAPI, just to name a few; a web developer can utilize any of these or a combination of two or more to make web development look like a cakewalk. All these Python frameworks can assist web developers to code effectively and faster. A web developer can automate the implementation of standard solutions and with this, a developer can reduce the time required to develop a website. The saved time can be used to focus on other critical elements such as application logic. So, now you know why you should learn Python in 2021. But to be honest, this was just an introduction. When you will see other interesting (all covered in this blog) – your inclination towards Python will increase even more. So, without any further ado, let us see more reasons to learn Python. 7 Reasons Why You Should Learn Python According to LinkedIn, the world’s largest employment-oriented online service, Python is one of the top skills to learn in 2021. Python has huge demand in every industry and the growth has been drastic in the past 5 years and the reason is quite simple – usability! One of the best factors about Python is that it can be learned by anyone and within 6 months and 2-4 hours of practice every day, any enthusiast can become an intermediate programmer from a basic level programmer. Another programming language takes years but this is not the case with Python. Python is also utilized by several top MNCs for recruiting, healthcare, financial services, marketing, education, etc. For instance, a start-up organization names ‘Growth Marketers’ are nowadays taking their marketing decisions after getting the analysis done in Python. Many organizations are now abandoning the typical and legacy systems like Excel spreadsheets and are using Python as an effective business strategy. Even top-level civilian space programs like NASA are using NASA. This is difficult to believe but there exists a workflow automation system for NASA which was written in Python by a programmer in less than a year! If any other programming language would’ve been used it might’ve taken years to complete the task. Python is also interesting to learn because there are several books, online tutorials, videos, and bootcamps available online that make the whole process a lot easier. Learning Python in 2021 is a must if you want to get welcomed by private and public sector organizations. Remember, top HRs and recruiters are always looking for a candidate with a certification in Python. So, if you have determined to become a Python programmer, the time is high to start your journey in learning Python. With passion, dedication, and hard work you will become an expert coder in no time. Here are the 7 reasons why you should learn Python 1. Simple Syntax and Few Lines of Code Python has the simplest of syntax as compared to any other language and also, the lines of coder are fee; in Java and C++ you will have to write 10 lines of code to get a simple task done but it can be done in just 2-3 lines of code in Python. This is unique to Python and a learner would never find this cool feature in any other programming language. 2. Huge Demand for Python Python has a huge scope and in the coming time, the demand will hike even more because more industries are adopting Python for the ease of their operations such as robotics, healthcare, space and sea exploration, entertainment, and social media. This is the reason why hundreds of thousands of candidates are enrolling themselves to learn Python in 2021. 3. Myriads of Frameworks and Libraries  Another reason to learn Python is that you can get assistance from many libraries and frameworks while working on a project. For example, Django can be used for web development, PyBrain is used for data science, Tensorflow is used for machine learning, and more. All these ensure that the entire process of developing an application easier and smoother. The frameworks and libraries can be utilized as per the requirements of a developer. 4. Python is Extensible & Portable You will be glad to know that several cross-language operations can be done hassle-free on … Read more

A Step-by-Step Guide to Learning Python in 2023

by
How-to-Learn-Python

Overview Python stands as one of the most widely used programming languages globally, and it’s not hard to see why. Its straightforward and legible syntax, vast libraries; and adaptability have made Python the favored language for a wide variety of uses, from web development to data analysis to artificial intelligence; If you’re searching for a new programming language to master in 2023: Python should undoubtedly be at the top of your list. In this step-by-step guide, we will guide you through learning Python in 2023, regardless of whether you’re new to programming or an experienced developer aiming to broaden your skill set. We’ll cover everything from establishing your Python environment to mastering advanced topics like object-oriented programming, Once you complete this guide; you’ll have the skills and resources necessary to begin constructing your Python applications and contributing to the Python community. So, let’s start! Who Can Learn Python? Python is an adaptable programming language that is accessible to all: regardless of age, experience, or background; Whether you’re a novice or an accomplished programmer, Python has something to offer. Python is particularly suitable for beginners due to its clear and uncomplicated syntax. The language is designed to be user-friendly and concise; with minimal use of punctuation, making it ideal for individuals who are new to programming and wish to improve their coding abilities. However; Python is also a robust language that can handle intricate applications, such as: web development, data analysis, machine learning, and artificial intelligence. This implies that even experienced programmers can benefit from learning Python; as it can expand their skill set and enable them to tackle a wider variety of projects and challenges. Furthermore, Python is widely used in industry and academia, making it an important skill for job seekers and students; Numerous companies and organizations utilize Python for data analysis, web development, and machine learning, and there is an increasing demand for Python developers in the job market: In conclusion, Python is a language that can be learned by anyone, regardless of their background or experience level. Whether you’re a student, a professional, or a hobbyist, Python offers a range of possibilities and can equip you with the necessary tools and abilities to thrive in the programming world. Preparing for Learning Python Before diving into learning Python, you should take a few key steps to prepare yourself for success; These steps include setting up your Python environment, choosing the correct Python version: and familiarizing yourself with basic programming concepts. First and foremost: you’ll need to set up your Python environment. This involves installing Python on your computer and configuring your system so that you can write and run Python code; Depending on your operating system and preferences, there are a few different ways to set up your environment. One popular option is to use an integrated development environment (IDE) like: PyCharm or Visual Studio Code, which provides a user-friendly interface for writing, testing, and debugging code. Alternatively; you can use a text editor like Atom or Sublime Text and a command-line interface to run your code. Once you’ve set up your environment, you’ll need to choose the right version of Python to use; In 2023, the two most commonly used versions of Python are Python 3.x and Python 2.x. While both versions are still in use, it’s generally recommended that beginners start with Python 3.x; as it’s more up-to-date and has better support for modern programming features. By taking these steps to prepare for learning Python, you’ll be well-equipped to tackle the language and build your own projects, The following section will cover the step-by-step process for learning Python, starting with syntax and data types; In addition to setting up your environment and familiarizing yourself with basic programming concepts; a few other learning resources and tools can help you along the way. These include online tutorials: textbooks, video courses, and coding challenges. One popular resource for learning Python is Codecademy, which offers a comprehensive Python course that covers everything from basic syntax to advanced topics like object-oriented programming; Other popular online resources include: Udemy, Coursera, and edX, which offer a variety of Python courses at different levels of difficulty. Textbooks are another great resource for learning Python, as they often provide a more in-depth and structured approach to learning the language; Some popular Python textbooks include; “Python Crash Course” by Eric Matthes, “Learn Python the Hard Way” by Zed Shaw, and “Python for Data Analysis” by Wes McKinney. Video courses and coding challenges can also be useful for learning Python; as they provide hands-on experience and a fun way to practice your skills. Platforms like: HackerRank, LeetCode, and Project Euler offer various coding challenges and problems that can help you sharpen your Python skills and prepare for real-world applications. By taking advantage of these learning resources and tools; you can accelerate your Python learning and gain the confidence and skills to tackle more complex programming tasks; In the next section, we’ll dive into the step-by-step process for learning Python: starting with the basics of syntax and data types. Learning Python Step-by-Step After discussing the fundamentals of Python, it’s time to delve into a systematic method for acquiring the language; Although mastering any programming language can be arduous, by following a structured approach, you can break it down into smaller, more manageable pieces and progressively develop your abilities: Start Learning the Basics: Begin by learning the fundamental concepts of Python, such as: syntax, data types, and basic arithmetic operations. Practice writing simple programs that use variables; perform basic calculations and manipulate strings. Expand Your Knowledge with Control Flow and Functions After mastering the basics of Python; proceed to explore conditional statements and loops for program control, as well as functions for code reusability. Exercise your proficiency by composing programs that utilize these concepts: to address issues or accomplish particular tasks. Work on Data Structures and Algorithms As you gain more confidence in Python; expand your horizons by working with more intricate data structures such as: lists, tuples, … Read more