Python Vs Java: Machine Learning is a part of artificial intelligence, which helps develop machine models and enables systems to learn from the available datasets. It can make predictions, make decisions, solve problems and much more. There are many uses for machine learning, which will unfold with the advancement of technologies.
When it comes to choosing one programming language, both Python and Java are among the top choices of developers around the world. Both these languages have their advantages, which we will discuss in this article. Read the article throughout to learn which among Python and Java is the best choice for machine learning.
What is Machine Learning?
Machine learning is a branch of artificial intelligence and computer science that helps develop artificially trained models that can help in natural language processing, image processing, predictions, and recommendations. It can also help automate and make healthcare, finance, and other important sectors more efficient.
Machine learning means training the machines based on available data, which can be used for predictions, problem solving, decision making and other important tasks.
What is Python?
Python is an interpreted, high-level, object-oriented programming language. It is popular due to its easy syntax, readable code, and extensive library and framework support. Learning Python is easy and is considered the first choice for beginners who are stepping in the world of coding.
It is a high versatile language which was designed to execute various functions and can be used on various operating systems, MacOs, Windows, Linux, Unix, etc.Â
What is Java?
Java is one of the most popular platform independent, object oriented program, compiled programming languages. It is a general purpose language which is widely used in computing world for web development, app development, the Internet of Things, and various other tasks. Java is considered one of the most reliable and secure programming language. It can run on diverse operating systems, such as macOS, Windows, Linux, Unix, etc.
Python Vs Java: Which Is Better for Machine Learning?
Python is one of the most used programming languages due to its simplicity, readability and extensive library support. Python consists of extensive machine learning libraries and frameworks. Some of the most used libraries for machine learning models are NumPy, Pandas, TensorFlow, etc., which are used for training models.
Python is often the first choice of most beginners as well as professional developers around the world. Why is Python the first choice of machine learning developers? Some of the most important reasons are given below.
- Python syntax is concise and easy to understand.
- It is suitable for rapid prototyping and experimentation during the development of machine learning models.
- Extensive library support such as Numpy, PyTorch, TensorFlow, Scikit-learn, etc.
- It is often the first choice among the data science community spread around the world.
However, Java is also a competitive choice for machine learning developers. But in the end, it depends on the developer’s choice and the kind of projects they are currently working. Programming languages are just the medium to tell systems the work they need to carry out. We must feel free while deciding which programming language to go with and make a selection based on personal research and preference.
Skills Required for Machine Learning Developer
Machine learning is a trending technology that is dominating the current tech world. Some of the important skills required for machine learning personnel are given below.Â
1. Programming Languages
The first requirement for being a machine learning developer is having a good command of one of the programming languages. Java and Python are both used in machine learning and are preferred by most of developers and learners around the world. Python, however, contains a wide range of libraries such as NumPy, Pandas, Scikit-learn, Tensor Flow, Pytorch, and many more. These libraries help a lot during the machine learning development and training of models.
Java also contains standard libraries and frameworks for machine learning. Some of the popular machine learning algorithms, such as Weka, Apache OpenNLP, DL4J, Apach, Tribuo, etc.
2. Statistics and Mathematics
A machine learning model requires good problem solving skills and a machine learning developer must be skilled in mathematics, especially in algebra, calculus, matrices, probability, permutations, etc.Â
3. Machine Learning AlgorithmsÂ
To be a skilled machine learning developer, candidates must have a good knowledge of various machine learning algorithms such as Regression, Clustering, decision trees, neural networks, etc.Â
4. Data Preprocessing and Extraction
It is one of the most important steps in training machine learning models. The first step is to clean and handle the missing data. Now, feature engineering is done after preprocessing in which data is scaled, analyzed and normalized.Â
5. Data Visualization Tools
Being a machine learning developer, they must be skilled in using various visualization tools in the form of charts and graphs. Some of the important data visualization tools are Mataplotlib, seaborn, etc.Â
6. Deep LearningÂ
Developers must have a good knowledge of deep learning techniques and architectures. Tensor flow and PyTorch are two of the most popular frameworks for deep learning.Â
7. Big data ToolsÂ
As a developer, they must be able to extract, store, and modify data with the help of various big data tools available online. Some of the important big data tools are given below.
- Apache Hadoop
- Apache Spark
- HiveÂ
- Apache HBase
- Apache Storm
- Cloudera
- MapR
- Presto
- Sqoop
- Flume
- Apache Flink
- Apache KafkaÂ
- Apache CassandraÂ
8. Database and SQL
A machine learning developer must be able to work with databases and write and implement SQL based queries.Â
Python Vs Java: Major Differences
Python and Java are the two most popular programming languages used all around the world in the world of technology. However, when it comes to machine learning we have some important differences given in the table below.
| Differences between Python vs Java | |
| Java | Python |
| Java is a compiled language. Code is first converted into bytecode and then to the machine-level language with the help of JVM.  | Python is an interpreted language. It executes our code line by line. |
| Java also contains libraries that can be used for machine learning development. However, it is not as large as Python. | Python contains extensive frameworks and libraries for machine learning models. |
| Some of the most popular used java frameworks are weka, apache, tribuo, etc. | Some of the popular Python frameworks are NumPy, Pandas, Scikit-learn, Tensor-Flow, etc. |
| Java offers a higher speed with the Just-In-Time compilers. The programs written in Java can run in seconds. Also, Java do not use any memory resources which also adds up to its high speed. | Python is an interpreted language which is slower as compared to Java. |
| Java offers platform independence. However, faster debugging and feedback are not always possible. | Fast debugging, platform independence and quick feedback are possible. |
| Java syntax is simpler than the programming language like C, C++, and others. | Python English syntax is much simpler and more concise for the developers to understand and learn. |
| Java syntax is readable but is not much human-friendly when compared to Python. | Syntax in Python is more readable. |
| Learning Java is comparatively harder than Python. | Learning Python is easy for machine learning models. |
| Java compiles the code before runtime in advance. | Python compiles code during runtime. |
| Multithreading in Java makes it really fast. | However, Python is slow in some cases when compared to Java. |
| Java has been there for a long time now, and hence, their versions are more stable. | Python versions are not very stable as it is a language in development and evolving. |
| It does not support operator overloading. | It supports operator overloading. |
| It also consists of a standard library and modules. | It provides a huge library support, which makes it suitable for trending technologies like artificial intelligence, data science, etc. |
| Java is faster than Python. | Python execution speed is slower due to interpretation at every line. |
Python vs Java FAQs
Which among Python and Java is best for machine learning?
Python is often the first choice for machine learning developers as its syntax are simple and easy to learn. It consists of an extensive library and frameworks to support machine learning. However, choosing a programming language must be your choice. It also depends on the programming language you are more comfortable with and current projects.
Is Python or Java good for Data analysts?
Python consists of libraries such as NumPy, TensorFlow, Pandas especially developed for handling big datasets.
Should I use Python or JavaScript For machine learning development?
Python can handle backend tasks easily. However, javascript is specially made for frontend-related tasks. Hence, choosing Python is a good choice for machine learning.
