three quantitative finance projects using batch api data calls to create pandas dataframes implementing different investment strategies by analyzing a composite basket of valuation metrics
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Updated
Apr 19, 2023 - Python
three quantitative finance projects using batch api data calls to create pandas dataframes implementing different investment strategies by analyzing a composite basket of valuation metrics
Drops duplicates in DataFrames with tedious dtypes
Using the pandas dataframe in python, and csv files, we can ask the user to enter word, and the alphanumeric version of each letter will be the output in the form of a list.
User-friendly Python DataFrames 🔵🟡 powered by Julia 🔴🟢🟣
Utility functions I often use in ATLAS (CERN)
Teaching and learning the functionality of the Spark Python API on dataframes
This program is used to authenticate the user, connect to the PostgreSQL database, create and update tables in the database, download CSV files from the Internet, process and compare data, and record information in a log file.
DataFrame comparison done right, powered by Rust with polars (AKA the bear-agnostic 🐻 🐼 🐨 🐻❄️ DataFrame comparison library)
Testing of various methods for Extract Transform Load
OpenClassrooms Data Analyst 2022-2023 - Projet 4
lsframe - map, classify, frame
Web scraping para extrair dados de produtos, tradução utilizando o LibreTranslate, tratamento dos dados e classificação de produtos em categorias utilizando um modelo de IA treinado com TensorFlow .
OpenClassrooms Data Analyst 2022-2023 - Projet 6
Translates dataframe operations into valid sql
This Dashboard is Developed by me. I had Applied for Internship in which i had to develop this Dashboard to showcase my skill and talent.
a small demo for a coding berlin meetup hosted by BITGRIP to show how to build a pokedex with pandas and make it restful with flask
Python Pandas script to calculate financial deposit average life.
🐍🤯 Utilising Python w/ Pandas and Jupyter to create Dataframes to read in 1994 US Census data to compile an Analytical Base Table (ABT) which displays a Categorical and Continuous Data Quality Report. Dealing with Data Quality Issues (DQIs) such as Cardinality Issues, Outliers and Missing Values.
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