bootstrap_plot() – Pandas Plotting Module

A bootstrap plot is a graphical representation of uncertainty in a characteristic chosen from within a population. While we can usually calculate data confidence levels mathematically, gaining access to the desired characteristics from some populations is impossible or impracticable. In this case, bootstrap sampling and the bootstrap plot come to our aid. This article will … Read more

Bollinger Bands Algorithm – Python Binance API for Crypto Trading

A Bollinger Band consists of three lines: a simple moving average, an upper band, and a lower band. The assumption is that if the real price crosses over one of the bands, this can be seen as a signal to trade in or our of a given asset. For cryptocurrencies, breakout trades are more frequently … Read more

NumPy all() – A Simple Guide with Video

Syntax numpy.all(a, axis=None, out=None, keepdims=<no value>, *, where=<no value>) Argument Type Description a array_like Input array axis None, int, or tuple of int Optional. One axis or multiple axes along which logical AND should be performed. Per default, it computes logical AND on the flat array. If this is a tuple of integers, calculates logical … Read more

How to Find Outliers in NumPy Easily?

Can you spot the outliers in the following sequence: 000000001000000001? Detecting outliers fast can be mission critical for many applications in military, air transport, and energy production. This article shows you the most basic outlier detection algorithm: if an observed value deviates from the mean by more than the standard deviation, it is considered an … Read more

How to Use Slice Assignment in NumPy?

NumPy slice assignment allows you to use slicing on the left-hand side of an assignment operation to overwrite a specific subsequence of a NumPy array at once. The right side of the slice assignment operation provides the exact number of elements to replace the selected slice. For example, a[::2] = […] would overwrite every other … Read more