Category: Coding

My opinions, notes and tutorials on everything related to coding & programming.

Numpy

Part 7: BOOLEAN MASKING IN NUMPY

Post author By Taha
Post date March 1, 2020
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In this article we will cover conditional operator and boolean masking of Numpy array.

Tags Boolean masking, Conditional operator, Numpy

Numpy

Part 6: BROADCASTING

In this article we will cover broadcasting – a set of rules for applying binary universal functions on array of different sizes.

Tags Broadcasting, Numpy, Rules of Brodcasting, Vectorized Operations

Pandas

Part 1: PANDAS SERIES AND DATAFRAME OBJECT

Post author By Taha
Post date February 29, 2020
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Learn how to create and work with Pandas Series, DataFrame and Index objects.

Tags Pandas, Pandas DataFrame Object, Pandas Index Object, Pandas Series object

Numpy

Part 5: NUMPY’S UNIVERSAL FUNCTIONS

Post author By Taha
Post date February 28, 2020
1 Comment on Part 5: NUMPY’S UNIVERSAL FUNCTIONS

In this article, we will cover the basic universal functions in NumPy that covers arithmetics, trigonometric, statistical, log and exponent functions. We will also cover reduce, accumulate and outer product methods.

Tags Accumulate, Arithmetic functions, Numpy, Outer products, Reduce, Statistical Functions, Trigonometric functions, Universal Functions in Numpy

Numpy

Part 4: CONCATENATION AND SPLITTING

Post author By Taha
Post date February 27, 2020
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Learn the techniques to concatenate and split a numpy array

Tags Concatenating a numpy array, Numpy, Splitting a numpy array

Numpy

Part 3: NUMPY FANCY INDEXING

Post author By Taha
Post date February 26, 2020
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Learn the fancy indexing techniques in Numpy

Tags Fancy Indexing, Numpy, Python

Numpy

Part 2: INDEXING AND SLICING A NUMPY ARRAY

Post author By Taha
Post date February 26, 2020
1 Comment on Part 2: INDEXING AND SLICING A NUMPY ARRAY

We will learn how to index and slice a Numpy array

Tags Indexing, Numpy, Python, Slicing

Numpy

Part 1: PRIMER ON NUMPY ARRAYS

Post author By Taha
Post date February 25, 2020
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We will learn several different methods to create a Numpy array, techniques to reshape an array, methods to extract array attributes and other basics.