Number statistics app in Jupyter Notebook

📊 Explore numeric statistics with this Jupyter Notebook app, easily analyzing lists of numbers for insights and visualization.

Inside this repository, you'll discover a comprehensive notebook dedicated to showcasing various NumPy array methods and operations. From basic array manipulation to advanced techniques, I've compiled a collection of examples and explanations to help both beginners and seasoned Python developers deepen their understanding of NumPy.

A loan data example with NumPy

Numpy Tutorial - Jupyter Notebook

A structured collection of Jupyter notebooks exploring NumPy from the ground up; covering array creation, manipulation, broadcasting, indexing, and data visualization for scientific computing and data analysis.

Jupyter notebook to show me which companies by province got bigger PAC subsidies. That hinted my commercial actions

Example notebooks from the Advanced Python video series, created in collaboration with Irancell Academy, covering practical topics from decorators and generators to data analysis and GUI development.

The notebooks are a part of exercises completed by me under the learn module "Time Series" by Kaggle. It showcases use of libraries such as Pandas, NumPy, Scikit-Learn and Matplotlib. Technique performed are Time series analysis handling Trend, Seasonality and Cycles.

This repository contains a Jupyter/Colab notebook `g_numpy.ipynb` where I have learned the **fundamentals of NumPy**, the core library for numerical computing in Python. It covers array creation, operations, and important techniques used in data science and scientific computing.