aymanibrahim/pyds

Hands-on in-person workshop on Python for Data Science

Why

For people who struggle to start in data science with Python

Description

This hands-on in-person workshop is based on Python for Data Science Course by IBM Cognitive Class

Learn how to create your first Python scripts and perform basic hands-on data analysis using Jupyter-based environment.

Outline

The workshop will cover core topics:

01 Basics

Types	Variables	Strings

• Hello World
• Comments
• Errors
• Types
• Expressions
• Variables
• Strings

02 Data Structures

Tuple	Set	Dictionary

• Tuples
• Lists
• Sets
• Dictionaries

03 Fundamentals

Condition	Loop	Class

• Conditions
• Branching
• Loops
• Functions
• Objects
• Classes

04 Working with Data

Read file	pandas DataFrame	Specify columns

• Reading files with open
• Writing files with open
• Loading data with pandas
• Working with and Saving data with pandas

05 Arrays

1D Array	2D Array	Array slicing

• Creating and Manipulating 1D & 2D Arrays
• Array Operations

Pre-workshop

You will need a laptop that can access the internet

1: Installation

Install miniconda or install the (larger) Anaconda distribution

Install Python using Miniconda

OR Install Python using Ananconda

2: Setup

2.1: Download workshop code & materials

Clone the repository

git clone [email protected]:aymanibrahim/pyds.git

OR Download the repository as a .zip file

2.2: Change directory to pyds

Change current directory to pyds directory

cd pyds

2.3: Install Python with required packages

Install Python with the required packages into an environment named pyds as per environment.yml YAML file.

conda env create -f environment.yml

When conda asks if you want to proceed, type "y" and press Enter.

3: Activate environment

Change the current default environment (base) into pyds environment.

conda activate pyds

4: Check installation

Use check_environment.py script to make sure everything was installed correctly, open a terminal, and change its directory (cd) so that your working directory is the workshop directory pyds you cloned or downloaded. Then enter the following:

python check_environment.py

If everything is OK, you will get the following message:

Your workshop environment is set up

5: Start JupyterLab

Start JupyterLab using:

jupyter lab

JupyterLab will open automatically in your browser.

You may access JupyterLab by entering the notebook server’s URL into the browser.

6: Stop JupyterLab

Press CTRL + C in the terminal to stop JupyterLab.

7: Deactivate environment

Change the current environment (pyds) into the previous environment.

conda deactivate

Workshop Instructor

Ayman Ibrahim

• LinkedIn
• Kaggle
• GitHub
• Twitter
• Facebook

References

• Python: Programming language
• Conda: Package and environment manager
• Anaconda: Python distribution
• Miniconda: Minimal installer for conda
• NumPy: Fundamental package for scientific computing with Python
• Matplotlib: Python 2D plotting library
• pandas: Python data analysis library
• Jupyter Notebook: Web application to create documents with code, equations, visualizations and text
• JupyterLab: Web-based development environment for Jupyter Notebooks
• Python for Data Science: Course by IBM Cognitive Class

Contributing

Thanks for your interest in contributing! There are many ways to contribute to this project. Get started here.

License

Workshop Code

Workshop Materials

Python for Data Science Workshop by Ayman Ibrahim is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at IBM Cognitive Class Python for Data Science by Joseph Santarcangelo, PhD.