Exploring Log Returns Distributions Hi All! In our previous tutorial, we learnt how to consider inflation rate in the return series of a stock and obtaining the adjusted return series. In this tutorial, we will start exploring stylized facts of asset returns from technical and analytical point of view and exploring log returns distributions […]
In this tutorial, we will learn the ways of considering inflation in a return series and implementing them using Python.
In this post, we will learn about other well-known sources from where we can get financial data and how to use them to fetch data in Python.
partition() – Partial Sort in NumPy. Sorting arrays partisally, getting smallest values till given index in unordered way. Partition an array.
In this part 5 of our Financial Analytics series, we will learn how we can apply this theory to obtain Efficient Frontier and we will also learn how we can implement this in Python.
lexsort() – indirect sort in NumPy while sorting values of one array it used values or keys of another array for tie-breaking if same values are encountered.
To sort arrays in NumPy, it has provided us many in built functions for doing that. Advantage to sort arrays in NumPy is huge.
Boolean Operations in NumPy includes everything that we need to do manipulation on provided data or arrays — it is the foundation of data manipulation in NumPy.
Hi Enthusiastic Learners! In this article we learn about many Universal Functions or Built-In functions of NumPy. Universal Functions plays a very crucial role in getting best performance out of NumPy and if you want to know advantages and effects on performance while using Universal Functions (UFuncs), you should go through our article Why use […]