IT 101: Python - Data Science/Processing Reference Sheet

Python Basics:

• Learn Python Basics:
  • Variables, data types (strings, numbers, lists), and basic operations.
  • Conditional statements (if, else), loops (for, while).
  • Functions: How to define and use them to organize your code.
    
    
• Resources:
  • Online Courses:
    • Codecademy's Learn Python 3:
      https://www.codecademy.com/learn/learn-python-3
    • Coursera's Python for Everybody Specialization: https://www.coursera.org/specializations/python
  • Interactive Tutorials:
    • Learn Python.org:
      https://www.learnpython.org/
  • Books:
    • "Python Crash Course" by Eric Matthes
    • "Automate the Boring Stuff with Python" by Al Sweigart

Setting Up Your Development Environment:

• Install Python:
  • Download and install the latest version of Python from the official website: https://www.python.org/downloads/
  • Make sure to check the box to add Python to your PATH during installation.
• Choose a Code Editor:
  • Visual Studio Code (VS Code): A popular and beginner-friendly code editor with excellent Python support. Download it here: https://code.visualstudio.com/
  • PyCharm: A powerful IDE with many features, but might be a bit overwhelming for beginners.
• Virtual Environments:
  • Open your terminal or command prompt.
  • Navigate to your project directory.
  • Create a virtual environment: python -m venv my_env
  • Activate the environment:
  • Windows: my_env\Scripts\activate
  • macOS/Linux: source my_env/bin/activate
  • Install Libraries:
    • Install the necessary libraries for interacting with external API and managing environment variables:
      Bash

      pip install XXX python-dotenv

Remember:

• Learning Resources: Continuously learn and expand your Python skills to implement more complex features.
• Experimentation: Be creative and experiment with different approaches to build projects that meets your specific needs and goals.
• Community: Don't be afraid to seek help from the Python community if you get stuck.
  
  

DATA TYPES:

OBJECTS: TYPES, CLASSES

TUPLES: (...)

KEYS (INDEX) vs ELEMENTS (DATA):

LOGIC OPERATORS:==,!,>,<,IF,ELSE,ELIF 

FOR:

WHILE:

IF:

IF ELSE:

IF ELIF ELSE:

FUNCTIONS:

VARIABLES: LOCAL vs GLOBAL

LISTS: [...]

LISTS: ENUMERATION

DICTIONARIES: {...}

SETS: {...}

CLASS: SELF PARAMETERS, DATA ATTRIBUTES

IMPORTING DATA:

PANDAS:

SLICING  DATAFRAMES:

NUMPY:

1D ARRAYS:

2D ARRAYS:

APIs

References:
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/

https://courses.edx.org/courses/course-v1:IBM+PY0101EN+3T2020/course/