Python and Jupyter Notebooks for beginners
- Development
- May 09, 2025

Python and Jupyter Notebooks for beginners, available at $49.99, has an average rating of 4.4, with 26 lectures, based on 217 reviews, and has 7076 subscribers.
You will learn about How to install Jupyter Notebook How to run the Jupyter Notebook Server Common Jupyter Commands Jupyter Components Notebook Dashboard Explore Notebook Interface Create Notebooks Python Expressions Python Statements Python Variables Python Data Types Casting Data Types Python Operators Conditional Statements Python Loops Python Functions This course is ideal for individuals who are Beginners to Python or Beginners to Jupyter Notebook It is particularly useful for Beginners to Python or Beginners to Jupyter Notebook.
Enroll now: Python and Jupyter Notebooks for beginners
Summary
Title: Python and Jupyter Notebooks for beginners
Price: $49.99
Average Rating: 4.4
Number of Lectures: 26
Number of Published Lectures: 26
Number of Curriculum Items: 26
Number of Published Curriculum Objects: 26
Original Price: $69.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Python is a very popular and powerful programming language.Python is versatile and can be fun to use in creating powerful and useful applications. Python can be used to create a variety of applications types
from games, web applications,desktop applications. Python is also very prominently used in data science and data analysis.
Jupyter Notebook is an environment that we can use to experiment with Python interactively . It allows you to share live Python code with others .
In this introductory beginners course we will learn about the basics of Python and Jupyter notebook.
Course Curriculum
Chapter 1: Introduction to Jupyter Notebook
Lecture 1: Introduction
Lecture 2: What is Jupyter Notebook
Lecture 3: Installing Jupyter Notebook
Lecture 4: Running the Jupyter Notebook Server
Lecture 5: Common Jupyter Commands
Lecture 6: Jupyter Notebook Components
Lecture 7: The Notebook Dashboard
Lecture 8: Notebook user interface
Lecture 9: Creating a new notebook
Chapter 2: Introduction to Python
Lecture 1: What is Python
Lecture 2: High and Low Level Programming languages
Lecture 3: Compilers and Interpreters
Lecture 4: Python Expressions
Lecture 5: Python Statements
Lecture 6: Python Code Comments
Lecture 7: Python Data Types
Lecture 8: Casting Data Types
Lecture 9: Python Variables
Lecture 10: Python List
Lecture 11: Python Tuple
Lecture 12: Python Dictionaries
Lecture 13: Python Operators
Lecture 14: Python Conditional Statements
Lecture 15: Python Loops
Lecture 16: Python Functions
Lecture 17: Thank You
Instructors

Bluelime Learning Solutions
Making Learning Simple
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Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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