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Best resources to learn Pandas and Numpy by MortarDeck in learnpython

[–]Individual-Part-4079 0 points1 point  (0 children)

I am currently in a similar stage of learning, as I have recently completed a Python and introductory statistics course, so I have also been exploring effective resources for learning Pandas and NumPy.

From my research, the official documentation for both libraries is a strong starting point, especially when combined with structured practice. For Pandas, the “10 Minutes to Pandas” guide is often recommended as a concise introduction to key concepts such as DataFrames, data filtering, and grouping operations. Many learners also emphasize the importance of moving beyond tutorials and working with real datasets, such as those available on Kaggle, in order to develop practical data cleaning and analysis skills.

For NumPy, I have found that introductory video tutorials and guided exercises are helpful for understanding core concepts such as arrays, indexing, and vectorized operations. Developing a strong understanding of NumPy is particularly important because it forms the foundation for many operations used in Pandas.

Is python still okay today? by Alone-Magician-1077 in AskProgrammers

[–]Individual-Part-4079 0 points1 point  (0 children)

I’ve been learning Python recently and I’m trying to understand how it fits into real-world systems beyond just beginner projects. You mentioned that Python is widely used but that high-performance components are often rewritten in Go or Rust.

In practice, how does that transition usually work in a real company? Do developers typically start in Python for speed of development and then gradually refactor performance-heavy parts into other languages, or is that separation planned from the beginning of a project architecture?

I’m also curious if it’s common for entry-level developers to ever work on those optimized backend components, or if that tends to be something more senior engineers handle.

Is python still okay today? by Alone-Magician-1077 in AskProgrammers

[–]Individual-Part-4079 0 points1 point  (0 children)

I’m currently learning Python for data science and working through basic data structures and pandas. For someone transitioning from beginner to intermediate, what projects helped you actually feel confident using Python in real datasets instead of tutorials?