Learn Python Fundamentals using Jupyter Notebook

Learn Python Fundamentals using Jupyter Notebook, available at $54.99, has an average rating of 4, with 24 lectures, based on 2 reviews, and has 439 subscribers.

You will learn about Understand the basics of Python Set up Python on Windows and macOS systems. Create and manage virtual environments for Python projects. Install and configure Jupyter Notebook within a virtual environment. Create, save, and manage Jupyter Notebooks. Write and execute Python expressions and statements. Differentiate between various Python data types. Perform type casting in Python. Declare and initialize Python variables. Use Python operators for arithmetic, comparison and logical operations. Write and execute conditional statements (if, elif, else) in Python. Write and execute loops (for, while) in Python. Define and call Python functions. This course is ideal for individuals who are Beginners: Individuals with little to no prior programming experience who are interested in learning Python from scratch. or Students: High school or college students looking to learn Python for academic purposes or future career prospects. or Professionals: Working professionals from non-technical backgrounds who wish to acquire basic programming skills to enhance their career opportunities. or Hobbyists: Individuals interested in exploring programming as a new hobby or looking to build personal projects. or Career Switchers: People looking to transition into tech roles who need a solid foundation in Python. or Data Enthusiasts: Aspiring data analysts or scientists who want to learn Python as a tool for data manipulation and analysis. It is particularly useful for Beginners: Individuals with little to no prior programming experience who are interested in learning Python from scratch. or Students: High school or college students looking to learn Python for academic purposes or future career prospects. or Professionals: Working professionals from non-technical backgrounds who wish to acquire basic programming skills to enhance their career opportunities. or Hobbyists: Individuals interested in exploring programming as a new hobby or looking to build personal projects. or Career Switchers: People looking to transition into tech roles who need a solid foundation in Python. or Data Enthusiasts: Aspiring data analysts or scientists who want to learn Python as a tool for data manipulation and analysis.

Enroll now: Learn Python Fundamentals using Jupyter Notebook

Summary

Title: Learn Python Fundamentals using Jupyter Notebook

Price: $54.99

Average Rating: 4

Number of Lectures: 24

Number of Published Lectures: 24

Number of Curriculum Items: 24

Number of Published Curriculum Objects: 24

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

• Understand the basics of Python
• Set up Python on Windows and macOS systems.
• Create and manage virtual environments for Python projects.
• Install and configure Jupyter Notebook within a virtual environment.
• Create, save, and manage Jupyter Notebooks.
• Write and execute Python expressions and statements.
• Differentiate between various Python data types.
• Perform type casting in Python.
• Declare and initialize Python variables.
• Use Python operators for arithmetic, comparison and logical operations.
• Write and execute conditional statements (if, elif, else) in Python.
• Write and execute loops (for, while) in Python.
• Define and call Python functions.

Who Should Attend

• Beginners: Individuals with little to no prior programming experience who are interested in learning Python from scratch.
• Students: High school or college students looking to learn Python for academic purposes or future career prospects.
• Professionals: Working professionals from non-technical backgrounds who wish to acquire basic programming skills to enhance their career opportunities.
• Hobbyists: Individuals interested in exploring programming as a new hobby or looking to build personal projects.
• Career Switchers: People looking to transition into tech roles who need a solid foundation in Python.
• Data Enthusiasts: Aspiring data analysts or scientists who want to learn Python as a tool for data manipulation and analysis.

Target Audiences

• Beginners: Individuals with little to no prior programming experience who are interested in learning Python from scratch.
• Students: High school or college students looking to learn Python for academic purposes or future career prospects.
• Professionals: Working professionals from non-technical backgrounds who wish to acquire basic programming skills to enhance their career opportunities.
• Hobbyists: Individuals interested in exploring programming as a new hobby or looking to build personal projects.
• Career Switchers: People looking to transition into tech roles who need a solid foundation in Python.
• Data Enthusiasts: Aspiring data analysts or scientists who want to learn Python as a tool for data manipulation and analysis.