python-for-data-analysis

Effective Data Analysis Using NumPy and Pandas: A Python Reference Guide--> source 1

Up and Running

Create a virtual environment in the root directory

python3 -m venv env
source env/bin/activate

Install Poetry for dependency management

env/bin/pip install -U pip setuptools
env/bin/pip install poetry  

Install project dependencies

poetry install

Jupyter notebook kernel selection: use ./env/bin/python

Contents

NumPy Basics

• Introduction to NumPy Arrays
• Array Indexing and Selection
• Array Operations
• Practice Exercises

Pandas Basics

• Working with Series
• Working with DataFrames
• Handling Missing Data
• GroupBy Operations
• Merging, Joining, and Concatenating Data
• DataFrame Operations
• Data Input and Output Techniques
• Practice Exercises