EDS 217
🏠 home
📋 syllabus
🗓️ daily materials
0️⃣ Day 1 (9/3)
1️⃣ Day 2 (9/4)
2️⃣ Day 3 (9/5)
3️⃣ Day 4 (9/6)
4️⃣ Day 5 (9/9)
5️⃣ Day 6 (9/10)
6️⃣ Day 7 (9/11)
7️⃣ Day 8 (9/12)
8️⃣ Day 9 (9/13)
💻 interactive sessions
Session 1a - ⚒️ JupyterLab Intro and IPython
Session 1b - ⚒️ Coding in Jupyter Notebooks
Session 1c - 🐍 Exploring Variable Types and Methods in Python
Session 1d - 🐍 Operators & Functions
Session 2a - 🐍 Lists
Session 2b - 🐍 Dissecting Dictionaries
Session 3a - 🐍 Introduction to Control Flows
Session 3c - 🔢 Arrays and Series
Session 4a - 🐼 DataFrames
Session 4c - 🐼 DataFrame Workflows
Session 4d - 🐼 Data Import and Export
Session 5a - 🐼 Selecing and Filtering Data
Session 5b - 🐼 Cleaning Data
Session 6a - 🐼 Grouping, Joining, and Sorting (Part I)
Session 6c - 📆 Working with Dates
Session 7a - 📊 Data Visualization with Seaborn & Matplotlib (Part I)
Session 7b - 📊 Data Visualization with Seaborn & Matplotlib (Part II)
🙌 coding colabs
🙌 Session 2c - Working with Lists, Dictionaries, and Sets
🙌 Session 3b - Control Flows
🙌 Session 3d - Pandas Series
🙌 Session 4b - Pandas DataFrames
🙌 Session 5c - Data Cleaning
🙌 Session 6b - Data Manipulation
🙌 Session 7c - Exploring data using visualizations
👀 cheatsheets
📚 resources
📚 Python Documentation
📚 Pandas Documentation
📚 Numpy Documentation
📚 Matplotlib Documentation
📚 Seaborn Documentation
📚 JupyterLab Documentation
📚 Anaconda Documentation
📚 Stack Overflow
📚 Real Python
📚 Towards Data Science
📚 DataCamp
📚 Kaggle
🧰 Python Tutor
🧰 Pandas Tutor
📙 Python for Data Analysis
📙 Python for Data Science Handbook
📙 Python Data Science Handbook (GitHub)
📻 Talk Python to Me
Cheatsheets
Quick reference guides for Python Data Science
On this page
⚒️ Setup & Tools
🐍 Python Basics
🔢 NumPy
🐼 Pandas
📊 Data Visualization
⚒️ Setup & Tools
Setting up Python
JupyterLab Variable Inspection and Shortcuts
🐍 Python Basics
Python Basics
Python Functions
Lists
Dictionaries
Sets
Control Flows
List and Dictionary Comprehensions
print()
🔢 NumPy
Numpy Basics
Numpy Random Number Generation
🐼 Pandas
Pandas 1-pager PDF
Pandas Series
Pandas DataFrames
Pandas DataFrame Methods and Data Science Workflows
read_csv()
Data Cleaning
Data Filtering & Selection
Data Grouping & Aggregation
Merging and Joining Data
Working with Timeseries
📊 Data Visualization
Seaborn Basics
Matplotlib Basics
plt.bar() [Matplotlib]
Chart Customization