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.

Welcome to “Learn Python with Jupyter Notebook,” a  course designed to introduce you to the powerful world of Python programming and the interactive capabilities of Jupyter Notebooks. Whether you are a complete beginner or someone looking to refresh your skills, this course will guide you step-by-step through the essentials of Python, using one of the most user-friendly and versatile tools available for coding and data analysis.

Why Python and Jupyter Notebook?

Python is a versatile, high-level programming language known for its readability and efficiency. It is widely used in various fields such as web development, data science, artificial intelligence, and automation. Jupyter Notebook, on the other hand, is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. Together, Python and Jupyter Notebook form a powerful combination that enhances learning and productivity, making it easier for you to visualize your work and iterate quickly.

Course Outline

1. Introduction to Python and Jupyter Notebook

2. What is Python?

3. Overview of Jupyter Notebook

4. Setting up Python and Jupyter

5. Python Installation on Windows and macOS

6. Creating and managing virtual environments

7. Installing and starting Jupyter Notebook

8. Exploring the Jupyter Notebook server dashboard

9. Python Basics

10. Python Expressions and Statements

11. Data Types and Type Casting

12. Variables and Operators

13. Conditional Statements

14. Loops (for and while)

15. Functions

16. Data Structures in Python

17. Lists

18. Dictionaries

Learning Objectives

By the end of this course, you will be able to:

1. Set up Python and Jupyter Notebook on your computer.

2. Understand and write basic Python code.

3. Use Jupyter Notebook for coding and data visualization.

4. Work with Python’s core data types and data structures.

5. Implement conditional statements, loops, and functions.

Who Should Enroll?

This course is ideal for:

Beginners: Those with no prior programming experience who want to start learning Python.

Students: High school or college students who need Python for their coursework or future career plans.

Professionals: Individuals from non-technical backgrounds aiming to gain programming skills for career advancement.

Hobbyists: Anyone interested in exploring programming as a new hobby.

Career Switchers: People looking to transition into tech roles needing a solid foundation in Python.

Data Enthusiasts: Aspiring data analysts or scientists wanting to use Python for data manipulation and analysis.

No Prerequisites Required

This course is designed to be accessible to everyone. There are no strict prerequisites, and you do not need any prior programming experience to get started. However, basic computer literacy, such as familiarity with installing software and navigating directories, will be helpful. You will need access to a computer with internet connectivity to install and configure the required software.

Enroll now and take the first step towards mastering Python and harnessing the power of Jupyter Notebook!

Course Curriculum

Chapter 1: Introduction to Python and Jupyter Notebook

Lecture 1: Introduction

Lecture 2: What is Python?

Lecture 3: Overview of Jupyter Notebook

Chapter 2: Setting up Python and Jupyter

Lecture 1: Python Installation on Windows

Lecture 2: What are virtual environments

Lecture 3: Creating and activating a virtual environment on Windows

Lecture 4: Python Installation on macOS

Lecture 5: Creating and activating a virtual environment on macOS

Lecture 6: Installing Jupyter Notebook in the Virtual Environment

Lecture 7: Starting Jupyter Notebook

Lecture 8: Exploring Jupyter Notebook Server Dashboard Interface

Lecture 9: Creating a new Notebook

Lecture 10: Exploring Jupyter Notebook Source and Folder Files

Chapter 3: Python Basics

Lecture 1: Python Expressions

Lecture 2: Python Statements

Lecture 3: Python Data Types

Lecture 4: Casting Data Types

Lecture 5: Python Variables

Lecture 6: Python Operators

Lecture 7: Python Conditional Statements

Lecture 8: Python Loops

Lecture 9: Python Functions

Chapter 4: Data Structures in Python

Lecture 1: Python List

Lecture 2: Python Dictionaries

Instructors

Skill Tree
Skill based learning

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4 stars: 2 votes

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!