- What is Dimension Reduction? | Know the techniques
- Top Data Science Software Tools
- What is Data Scientist? | Know the skills required
- What is Data Scientist ? A Complete Overview
- Know the difference between R and Python
- What are the skills required for Data Science? | Know more about it
- What is Python Data Visualization ? : A Complete guide
- Data science and Business Analytics? : All you need to know [ OverView ]
- Supervised Learning Workflow and Algorithms | A Definitive Guide with Best Practices [ OverView ]
- Open Datasets for Machine Learning | A Complete Guide For Beginners with Best Practices
- What is Data Cleaning | The Ultimate Guide for Data Cleaning , Benefits [ OverView ]
- What is Data Normalization and Why it is Important | Expert’s Top Picks
- What does the Yield keyword do and How to use Yield in python ? [ OverView ]
- What is Dimensionality Reduction? : ( A Complete Guide with Best Practices )
- What You Need to Know About Inferential Statistics to Boost Your Career in Data Science | Expert’s Top Picks
- Most Effective Data Collection Methods | A Complete Beginners Guide | REAL-TIME Examples
- Most Popular Python Toolkit : Step-By-Step Process with REAL-TIME Examples
- Advantages of Python over Java in Data Science | Expert’s Top Picks [ OverView ]
- What Does a Data Analyst Do? : Everything You Need to Know | Expert’s Top Picks | Free Guide Tutorial
- How To Use Python Lambda Functions | A Complete Beginners Guide [ OverView ]
- Most Popular Data Science Tools | A Complete Beginners Guide | REAL-TIME Examples
- What is Seaborn in Python ? : A Complete Guide For Beginners & REAL-TIME Examples
- Stepwise Regression | Step-By-Step Process with REAL-TIME Examples
- Skewness vs Kurtosis : Comparision and Differences | Which Should You Learn?
- What is the Future scope of Data Science ? : Comprehensive Guide [ For Freshers and Experience ]
- Confusion Matrix in Python Sklearn | A Complete Beginners Guide | REAL-TIME Examples
- Polynomial Regression | All you need to know [ Job & Future ]
- What is a Web Crawler? : Expert’s Top Picks | Everything You Need to Know
- Pandas vs Numpy | What to learn and Why? : All you need to know
- What Is Data Wrangling? : Step-By-Step Process | Required Skills [ OverView ]
- What Does a Data Scientist Do? : Step-By-Step Process
- Data Analyst Salary in India [For Freshers and Experience]
- Elasticsearch vs Solr | Difference You Should Know
- Tools of R Programming | A Complete Guide with Best Practices
- How To Install Jenkins on Ubuntu | Free Guide Tutorial
- Skills Required to Become a Data Scientist | A Complete Guide with Best Practices
- Applications of Deep Learning in Daily Life : A Complete Guide with Best Practices
- Ridge and Lasso Regression (L1 and L2 regularization) Explained Using Python – Expert’s Top Picks
- Simple Linear Regression | Expert’s Top Picks
- Dispersion in Statistics – Comprehensive Guide
- Future Scope of Machine Learning | Everything You Need to Know
- What is Data Analysis ? Expert’s Top Picks
- Covariance vs Correlation | Difference You Should Know
- Highest Paying Jobs in India [ Job & Future ]
- What is Data Collection | Step-By-Step Process
- What Is Data Processing ? A Step-By-Step Guide
- Data Analyst Job Description ( A Complete Guide with Best Practices )
- What is Data ? All you need to know [ OverView ]
- What Is Cleaning Data ?
- What is Data Scrubbing?
- Data Science vs Data Analytics vs Machine Learning
- How to Use IF ELSE Statements in Python?
- What are the Analytical Skills Necessary for a Successful Career in Data Science?
- Python Career Opportunities
- Top Reasons To Learn Python
- Python Generators
- Advantages and Disadvantages of Python Programming Language
- Python vs R vs SAS
- What is Logistic Regression?
- Why Python Is Essential for Data Analysis and Data Science
- Data Mining Vs Statistics
- Role of Citizen Data Scientists in Today’s Business
- What is Normality Test in Minitab?
- Reasons You Should Learn R, Python, and Hadoop
- A Day in the Life of a Data Scientist
- Top Data Science Programming Languages
- Top Python Libraries For Data Science
- Machine Learning Vs Deep Learning
- Big Data vs Data Science
- Why Data Science Matters And How It Powers Business Value?
- Top Data Science Books for Beginners and Advanced Data Scientist
- Data Mining Vs. Machine Learning
- The Importance of Machine Learning for Data Scientists
- What is Data Science?
- Python Keywords
- What is Dimension Reduction? | Know the techniques
- Top Data Science Software Tools
- What is Data Scientist? | Know the skills required
- What is Data Scientist ? A Complete Overview
- Know the difference between R and Python
- What are the skills required for Data Science? | Know more about it
- What is Python Data Visualization ? : A Complete guide
- Data science and Business Analytics? : All you need to know [ OverView ]
- Supervised Learning Workflow and Algorithms | A Definitive Guide with Best Practices [ OverView ]
- Open Datasets for Machine Learning | A Complete Guide For Beginners with Best Practices
- What is Data Cleaning | The Ultimate Guide for Data Cleaning , Benefits [ OverView ]
- What is Data Normalization and Why it is Important | Expert’s Top Picks
- What does the Yield keyword do and How to use Yield in python ? [ OverView ]
- What is Dimensionality Reduction? : ( A Complete Guide with Best Practices )
- What You Need to Know About Inferential Statistics to Boost Your Career in Data Science | Expert’s Top Picks
- Most Effective Data Collection Methods | A Complete Beginners Guide | REAL-TIME Examples
- Most Popular Python Toolkit : Step-By-Step Process with REAL-TIME Examples
- Advantages of Python over Java in Data Science | Expert’s Top Picks [ OverView ]
- What Does a Data Analyst Do? : Everything You Need to Know | Expert’s Top Picks | Free Guide Tutorial
- How To Use Python Lambda Functions | A Complete Beginners Guide [ OverView ]
- Most Popular Data Science Tools | A Complete Beginners Guide | REAL-TIME Examples
- What is Seaborn in Python ? : A Complete Guide For Beginners & REAL-TIME Examples
- Stepwise Regression | Step-By-Step Process with REAL-TIME Examples
- Skewness vs Kurtosis : Comparision and Differences | Which Should You Learn?
- What is the Future scope of Data Science ? : Comprehensive Guide [ For Freshers and Experience ]
- Confusion Matrix in Python Sklearn | A Complete Beginners Guide | REAL-TIME Examples
- Polynomial Regression | All you need to know [ Job & Future ]
- What is a Web Crawler? : Expert’s Top Picks | Everything You Need to Know
- Pandas vs Numpy | What to learn and Why? : All you need to know
- What Is Data Wrangling? : Step-By-Step Process | Required Skills [ OverView ]
- What Does a Data Scientist Do? : Step-By-Step Process
- Data Analyst Salary in India [For Freshers and Experience]
- Elasticsearch vs Solr | Difference You Should Know
- Tools of R Programming | A Complete Guide with Best Practices
- How To Install Jenkins on Ubuntu | Free Guide Tutorial
- Skills Required to Become a Data Scientist | A Complete Guide with Best Practices
- Applications of Deep Learning in Daily Life : A Complete Guide with Best Practices
- Ridge and Lasso Regression (L1 and L2 regularization) Explained Using Python – Expert’s Top Picks
- Simple Linear Regression | Expert’s Top Picks
- Dispersion in Statistics – Comprehensive Guide
- Future Scope of Machine Learning | Everything You Need to Know
- What is Data Analysis ? Expert’s Top Picks
- Covariance vs Correlation | Difference You Should Know
- Highest Paying Jobs in India [ Job & Future ]
- What is Data Collection | Step-By-Step Process
- What Is Data Processing ? A Step-By-Step Guide
- Data Analyst Job Description ( A Complete Guide with Best Practices )
- What is Data ? All you need to know [ OverView ]
- What Is Cleaning Data ?
- What is Data Scrubbing?
- Data Science vs Data Analytics vs Machine Learning
- How to Use IF ELSE Statements in Python?
- What are the Analytical Skills Necessary for a Successful Career in Data Science?
- Python Career Opportunities
- Top Reasons To Learn Python
- Python Generators
- Advantages and Disadvantages of Python Programming Language
- Python vs R vs SAS
- What is Logistic Regression?
- Why Python Is Essential for Data Analysis and Data Science
- Data Mining Vs Statistics
- Role of Citizen Data Scientists in Today’s Business
- What is Normality Test in Minitab?
- Reasons You Should Learn R, Python, and Hadoop
- A Day in the Life of a Data Scientist
- Top Data Science Programming Languages
- Top Python Libraries For Data Science
- Machine Learning Vs Deep Learning
- Big Data vs Data Science
- Why Data Science Matters And How It Powers Business Value?
- Top Data Science Books for Beginners and Advanced Data Scientist
- Data Mining Vs. Machine Learning
- The Importance of Machine Learning for Data Scientists
- What is Data Science?
- Python Keywords
Advantages of Python over Java in Data Science | Expert’s Top Picks [ OverView ]
Last updated on 03rd Nov 2022, Artciles, Blog, Data Science
- In this article you will learn:
- 1.Introduction.
- 2.Start exploring A-Z of a Python programming language.
- 3.Advantages of Python over a Java.
- 4.Tools belonging to the Python.
- 5.Conclusion.
Introduction:
- Python which has made amazing progress in a last few years and currently giving an edge-on competition to java and its applications.
- Both languages are perfect as they are be capable of doing almost each task. To make decision between them, understanding Java vs Python is must.
- It can model a real-world entities being an object-oriented programming language. It is also be dynamically typed, carrying out type-checking at run-time.
- Different from a Java, Python is an interpreted language that executes a one line at a time in Python Integrated Development Environment (IDLE).
What waiting for? Start exploring A-Z of a Python programming language:
Java Introduction:
- It is the general-purpose programming language that is a concurrent.
- Java is a class-based and object-oriented. It follows a principle of “write once, run anywhere” (WORA) and is a platform-independent.
- Can say that it is free to the access and can run it on all the platforms.
Advantages of Python over Java:
1. “Hello world” example:
Starting with very basic program come across while a learning any language:
Java:
- public class HelloWorld
- {
- public static void main(String[] args)
- {
- System.out.println(“Hello World”);
- }
- }

Python:
- print(“Hello World”)
The 7-line length of a code in java compared to 1-line code in a python says it all about which one wins this point:
2. Syntax:
- Python is the dynamically-typed language. Hence, don’t need to find variable types as the checks are done at a runtime by the interpreter.
- This forms design to be “English-like” therefore code becomes a much more readable and simpler.
- Python is friendly for the beginners as it uses indentation in the place of the braces which makes it similar to that of a pseudocode.
- Java, on other hand, has strict syntax being a statically-typed one needs to declare the variables explicitly.
- With smallest irregularity in a code, the complete code will not be compile. That is not easiest thing to be handled by a developers.
Advantages of Python over a Java:
Here are advantages of a Python over Java on the basis of application, job opportunity, and salary:
a. Application-Based:
Moving onto the application-based differences which can show advantages of a Python over Java :
1. Data Science:
- Python has a taken over a scientific and research community, and the reason is because of its simple of use and simplified syntax.
- Thanks to versatility, Python has become a sort of skill one can have to join a data science community or any computer science-based development community.
- Python is an incredibly productive as it makes a frameworks available with APIs, with addition to a scientific packages coming from the industry.
2. Machine learning:
- Since Python is the full-fledged general-purpose language, it has a become famous amongst people coming from the various disciplines, experimenting with machine learning.
- People trying to bring power of AI to their fields also drag use of Python and its importance in respective fields also.
- Java is also be considered as a fairly good option when a database is old and again platform is a Java-based.
- As an industries, old or new, are moving towards the trending technology, it is possible that the use of a java fades away.

3. Web Development:
- Backend development can be covered by the both languages. It is extremely hard to cover all designing requirements from a scratch and to also take care of reliability and also effectiveness.
- To cover all these prospects, developers use a frameworks that can do the same. The most popular ones are the Django and Flask (Python).
- Basic functionalities like a routing requests can be done with a Flask, a micro-web framework. For the more features, Django is used. It adds efficiency and security to a backend.
- As far as a Java is concerned, Spring is well-known Java backend framework but it is not as a trending as Django nowadays. It is a more powerful option for the building an enterprise-level application.
4. Job Opportunity and Salary Base:
- Proceeding the advantages of Python over a Java on basis of a Job opportunity and salary factors:
- EveryLanguage provides a various set of job opportunities but it is worth noting that a Python is making more strides than Java, looking at the current situation.
- Tools belonging to Python – GREENLETS, and GEVENT allow the threading-like programming style. Python tools also support in a writing mobile applications – KIVY.
- Python’s are recent updations, like fixing error messages, modify paths in Windows installer, etc have made it simpler for coders to work with it.
- Python seems to be exception when salary distribution is concerned.
- Python is one of highest-paid programming languages. It is worth noting, $110,021 is not number to be ignored when that much of amount is added to the bank balance.
- The average salary of a Python computer programmers may be high but it cannot be explain all the factors of python being the favorite one for engineers.
Conclusion:
Python’s use is just like helpful assistant that is handling you tools. It serves as a glue language for the beginners and experts to come together and collaborate for scientific development.Java certainly has its own benefits and has wonders for the coders, but Python recently has started making more sense. Its contributions are far more flexible, user-friendly, and create an enjoyable coding experience.