#SecondDay Create a DataFrame from List Write a solution to create a DataFrame from a 2D list called student_data. This 2D list contains the IDs and ages of some students. The DataFrame should have two columns, student_id and age, and be in the same ...
My First Data Science Project: Analyzing Titanic Survival Data with Python Hi!Welcome to my very first mini data science project blog!In this post, I’ll walk you through how I used Python, Pandas, and Seaborn to explore the famous Titanic dataset — a...
📝 Quick Summary: PandasAI is a Python library that enables conversational data analysis by leveraging LLMs and RAG techniques. It allows users to interact with data from various sources like SQL databases, CSV files, and Parquet files using natural ...
Exploring Pandas: Your First Step Toward Real Data Analysis in Python Welcome back! After getting started with Python for data science, the next major tool you need to learn is Pandas. It’s one of the most powerful and essential libraries for working...
There are many sites on how to connect to an Oracle database with Python and using Pandas to create a parquet format datafile. This example is using the python-oracledb library to establish the connection. Searches for Python libraries for Oracle dat...
Introduction When I was exploring data with python, I got to know about Pandas. At first, it seemed a bit boring and confusing but once I started using it then I realized how powerful and important Pandas really is for working with data. It makes tas...
Data Analytics with NumPy and Pandas in Python Data analytics is a crucial skill in today's data-driven world, and Python provides powerful libraries like NumPy and Pandas to handle and analyze data efficiently. In this blog, we will explore how thes...
https://github.com/ahamadc/Supply-Chain-Optimisation This project is an end-to-end solution that leverages MySQL, Python and Power BI to tackle a real-world supply chain problem. Using a dataset from Kaggle that includes various tables with historica...
Introduction. History. 2025.03.30, 1st summarization of the document. 2025.04.04, revision of 0 ~ 2, export and post as markdown. Version. 2.2.3, on Sep 20, 2024. https://pandas.pydata.org/docs/ 0. Setup. import pandas as pd import numpy ...
Are you looking to analyze and manipulate data efficiently in Python? Pandas is the go-to library for working with structured data, making it an essential tool for data analysts, data scientists, and developers. In this article, we’ll introduce Panda...
