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1. Calculate distance between Latitude/... Calculate distance between Latitude/Longitude points. All these formulas are for calculations on the basis of a spherical earth (ignoring ellipsoidal effects) – which is accurate enough for most purposes…

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   from math import radians, sin, cos, atan2, sqrt, tan, atan

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   def haversine_distance(long1, lat1, long2, lat2, degrees=False):

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     '''

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     The haversine formula determines the great-circle distance 

2. Wallis_Pi.py Wallis_Pi.py

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   import math

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   def  Wallis_Pi(n):

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     '''

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     Compute the decimals of Pi using the Wallis formula:

3. Multiple Columns Label Encoders Multiple Columns Label Encoders

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   import pandas as pd

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   from sklearn.preprocessing import LabelEncoder

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   class MultiColumnLabelEncoder:

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       '''

4. This function is to remove outliers ... This function is to remove outliers in columns of a dataframe and ignore missing values that may be processed in following steps.

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   # Define function to detect outliers for numerical variables

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   import pandas as pd

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   def clean_outliers(data, types = "IQR", threshold = 3.0):

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       '''

5. algs4 algs4 Public

   Algorithm practice following the Algorithm courses offered by Princeton University on Coursera

   Java

6. Projects Projects Public

   This repository showcases my job market projects in quantitative finance. ⚡⚡⚡

   Jupyter Notebook