[GET] Data Analysis with Pandas, NumPy and PostgreSQL -Masterclass

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Data Analysis with Pandas, NumPy and PostgreSQL -Masterclass
Master the powerful Pandas, NumPy and PostgreSQL library to analyze, manipulate and visualize data.
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8,541 students
8 hours on-demand video
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5 downloadable resources

Pandas is the most powerful and flexible open source data analysis/manipulation tool available in any language.

pandas is well suited for many different kinds of data:

Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet

Ordered and unordered (not necessarily fixed-frequency) time series data.

Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels

Any other form of observational / statistical data sets. The data need not be labeled at all to be placed into a pandas data structure



Why Learn Numpy?

The central object in Numpy is the Numpy array, on which you can do various operations.

The key is that a Numpy array isn’t just a regular array you’d see in a language like Java or C++, but instead is like a mathematical object like a vector or a matrix.

That means you can do vector and matrix operations like addition, subtraction, and multiplication.

The most important aspect of Numpy arrays is that they are optimized for speed. So we’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list.

Then we’ll look at some more complicated matrix operations, like products, inverses, determinants, and solving linear systems.

https://www.udemy.com/course/numpy-pandas-postgresql-basic-to-advanced-for-beginners/?couponCode=0602E20D61130269CC06

Enjoy!