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Programming & Scientific Computing · Statistical & Parallel Computing

Advanced statistical computing: Manipulation, visualization, and EDA

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Introduction EXHAUSTIVE STUDY MONOGRAPH

Overview

Topics covered

Introduction
Statistical Computing: Manipulation, Visualization and EDA
Epistemology of Statistical Computing and Data Representation
Statistical computing paradigms: R, Python and Julia
Floating point arithmetic (IEEE 754) and numerical instability
Advanced Data Manipulation and Relational Algebra Structures

Related concepts

Main connections

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

x = (-1)^s \times \left(1 + \sum_{i=1}^{p-1} b_i 2^{-i}\right) \times 2^e

View LaTeX source

x = (-1)^s \times \left(1 + \sum_{i=1}^{p-1} b_i 2^{-i}\right) \times 2^e