11/08/2026
Learn Python
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If you want to learn a skill that is now used almost everywhere — in Data Science, AI, Automation, Web Development, Research, and software jobs — learning Python can be one of the best decisions you make.
The great thing is that you do not need a computer science degree to get started with Python. If you practise for one to two hours each day, you can build a solid foundation in just a few months. But remember: skills come from writing code yourself, not just watching videos.
What should you learn first?
Start by understanding variables, data types, conditions, loops, functions, lists, dictionaries, and basic file handling.
At this stage, the goal is not simply to memorise syntax — it is to learn how to break a programming problem down into small, manageable steps.
What next?
Once you understand the core concepts, learn Object-Oriented Programming, error handling, modules, APIs, JSON, Git, and basic SQL.
These skills will enable you not just to write Python code, but to build real, practical projects.
Third: choose your direction
• If you want to go into Data Science: learn NumPy, Pandas, Matplotlib, SQL, and later Machine Learning.
• If you are interested in AI: after the Python basics, move on to Scikit-learn, PyTorch, or TensorFlow.
• If you want Web Development: learn Django, Flask, or FastAPI.
• If you want Automation: learn how to automate files, emails, APIs, web scraping, and various business tasks using Python.
• If you are in Research: learn to use Python for data analysis, statistics, visualisation, and scientific computing.
Fourth: build projects
Do not just collect certificates from courses.
If you practise seriously for one to two hours every day, you can cover the basics in about two months. In the following two to three months you can work on projects and specialise. In roughly six months, you can put together a proper junior-level portfolio.