Getting Started with Python: Introduction

Python 3.7
  • 15 Videos | 1h 36m 2s
  • Includes Assessment
  • Earns a Badge
Likes 1602 Likes 1602
This 15-video course lets learners explore the basics of how to use the Python programming language. You will learn to set up with an interactive environment that allows you to develop and run Python scripts on your machine. Begin by installing Anaconda, an open-source distribution of the Python and R programming languages. You will learn to write your first meaningful program in Python, then create a Jupyter notebook, the most popular tool for writing and running Python code. You will learn how to do simple coding by using Python's Jupyter notebooks, and explore different Jupyter functionalities, including built-in functions. Learners will explore how to use a Python variable to store values, and learn to differentiate between variables of different types, and the different ways to assign values to variables. You will examine how variables act as containers, and you will learn how to change values that are inside a container. Finally, you will learn to use integers, floating-point numbers, strings, and to work with Boolean values.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    install the Anaconda distribution of Python to run Python in a Windows environment
    run the Jupyter notebook server to execute Python code on a Windows machine
    install the Anaconda distribution of Python to run Python on a Mac machine
    run the Jupyter notebook server to execute Python code on a Mac machine
    execute Python code to perform simple calculations
    use built-in functions in Python to perform operations
    use variables in place of values directly
  • create floating point, integer, Boolean, and string variables
    assign values to newly created variables
    perform operations to update variable values
    work with floats, integers, Booleans, and strings
    initialize and work with single-line and multi-line strings
    perform string formatting operations to display data
    recall features of Jupyter notebooks, built-in functions, and variables

IN THIS COURSE

  • Playable
    1. 
    Course Overview Python Introduction
    2m 4s
    UP NEXT
  • Playable
    2. 
    Install and Set up Anaconda on Windows for Python
    6m 44s
  • Locked
    3. 
    Run Jupyter notebooks on Windows for Python
    5m 44s
    FREE ACCESS
  • Locked
    4. 
    Install and Set up Anaconda on MacOS for Python
    5m 2s
    FREE ACCESS
  • Locked
    5. 
    Run Jupyter notebooks on MacOS for Python
    5m 39s
    FREE ACCESS
  • Locked
    6. 
    Using Python as a Calculator
    9m 53s
    FREE ACCESS
  • Locked
    7. 
    Working with Python Built-in Functions
    8m 24s
    FREE ACCESS
  • Locked
    8. 
    Introducing Python Variables to Store Values
    7m 1s
    FREE ACCESS
  • Locked
    9. 
    Working with Different Types of Variables in Python
    4m 17s
    FREE ACCESS
  • Locked
    10. 
    Assigning Values to Variables in Python
    3m 50s
    FREE ACCESS
  • Locked
    11. 
    Updating Variable Values in Python
    8m 22s
    FREE ACCESS
  • Locked
    12. 
    Working with Python Simple Data Types
    4m 26s
    FREE ACCESS
  • Locked
    13. 
    Creating Single-line and Multi-line Strings in Python
    7m 9s
    FREE ACCESS
  • Locked
    14. 
    Formatting Operations with Strings in Python
    3m 16s
    FREE ACCESS
  • Locked
    15. 
    Exercise: Python Jupyter Notebooks, Functions, & Variables
    7m 40s
    FREE ACCESS

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