Using Python Pandas dataframe to read and insert data to Microsoft SQL Server
-
Updated
May 3, 2021 - Python
Using Python Pandas dataframe to read and insert data to Microsoft SQL Server
This python package lets you automatically download and parse european forest data from several different public sources.
Accumulation Data Indonesian Inflation 2020 - 2024
🔍 Transform source code into actionable security insights with the Code-First Automated Threat Modeling Toolkit for deep risk analysis.
Apply machine learning algorithms to data analysis,modeling and recommender system for hands-on practice.
🎙️ Automate podcasting with skills: download YouTube videos, process audio, and manage content efficiently—all in one comprehensive toolkit.
Python tools for parsing and analyzing practical match reports.
These projects were created as part of Codecademy's Data Engineer Career Path course.
For educational purpose only!!
Insurance Fraud Risk Analysis using Python to identify high-risk claims through data cleaning, feature engineering, and percentage-based fraud analysis
Data Analyst repository on GitHub of independent projects
Preparing statistical summary from a dataset using Python.
This utility was developed to reverse-engineer the encryption algorithms used in PDF 1.6 and recover the used password.
Automated consolidation of a R1.2bn multi-entity portfolio across 6 jurisdictions (ZAR, CHF, GBP, BRL, INR, EUR) to calculate ROIC and capital efficiency
Dimensional data-modeling for a BI warehouse using SQL and Power BI ETL.
Honey project I did back in my internship at Chiang Mai University to predict the best conditions for storage after 6 weeks
Python script read excel (xlsx) and match text from text file.
This project visualizes time series data of daily page views for the freeCodeCamp forum from May 2016 to December 2019. It includes three types of plots: line plot, bar plot, and box plot.
A Python-based analysis quantifying the performance of Indian-origin CEOs in the Fortune 500. This project uses the yfinance library to compare company stock CAGR against the S&P 500 benchmark during each CEO's tenure, testing the hypothesis of market outperformance.
Add a description, image, and links to the python-pandas topic page so that developers can more easily learn about it.
To associate your repository with the python-pandas topic, visit your repo's landing page and select "manage topics."