I'm a student who is currently learning Python and Java. I'm very interested to learn about data science and machine learning as well as deep learning.
Which of Java and Python is more useful for me?
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2 Answers
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If you are starting off with learning data science and machine learning. I would recommend picking one language - specifically python.
In my opinion, Data science/ML is a large field and trying to learn multiple languages adds extra levels of complexity to an already challenging field. It would be better to focus on mastering the concepts using a single language and then expanding to other languages once you have the basics.
I would recommend starting with python because there are already many DS/ML libraries that exist, in addition, there are a lot of resources online that you can leverage with respect to learning DS using python.
Some popular libraries include Pandas, Scikit-Learn, and PyTorch - there are many many more.
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For a first DS/ML stack, pick one language and master it end-to-end. Python is usually the most practical start because its ecosystem (NumPy, pandas, Matplotlib/Seaborn, scikit-learn; plus PyTorch/TensorFlow) makes data work fast to prototype and easy to learn from abundant tutorials and examples.
Java shines later in production settings (JVM services, Spark on large clusters, enterprise codebases), but its DS ergonomics are heavier for beginners. Learning options: A structured course can be helpful to understand how Java and Python are used in real DS/ML workflows. For fundamentals, consider Great Learning Academy’s Python Programming course; for a cohort-based, project-driven path, Le Wagon’s Data Science course; and for a beginner-friendly, practice-first approach, CodeWithHarry’s The Ultimate Job-Ready Data Science Course. Choose based on your schedule, budget, and learning style,the goal is to ship 2–3 portfolio projects, not just finish a syllabus.
