Python for the Jupyter Notebook

Python for the Jupyter Notebook, available at $49.99, has an average rating of 4.28, with 24 lectures, 1 quizzes, based on 162 reviews, and has 2304 subscribers.

You will learn about How to program in Python using the Jupyter Notebook This course is ideal for individuals who are Beginner Python Developers It is particularly useful for Beginner Python Developers.

Enroll now: Python for the Jupyter Notebook

Summary

Title: Python for the Jupyter Notebook

Price: $49.99

Average Rating: 4.28

Number of Lectures: 24

Number of Quizzes: 1

Number of Published Lectures: 24

Number of Published Quizzes: 1

Number of Curriculum Items: 25

Number of Published Curriculum Objects: 25

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

How to program in Python using the Jupyter Notebook

Who Should Attend

Beginner Python Developers

Target Audiences

Beginner Python Developers

Introducing our Python Programming Course designed specifically for non-programmers! This course utilizes the user-friendly Anaconda Jupyter Notebook environment, making it perfect for beginners. You’ll learn the fundamentals of Python, a powerful and versatile programming language, through interactive lessons and practical exercises.

Our course guides you step-by-step from basic concepts to more advanced topics, all within the Anaconda platform known for its ease of installation and management of packages and environments. The Jupyter Notebook provides an intuitive interface where you can write, run, and debug your code all in one place, allowing for a seamless learning experience.

By the end of this course, you will be equipped with the essential skills to use Python effectively for data analysis, automation, and building simple applications. Whether you’re looking to advance your career, start a new hobby, or enhance your current skill set, this course is your gateway to the world of programming. Join us to unlock your potential in the digital age!

The topics covered in the course are:

1. Creating Variables

2. Performing Math Calculations in Python

3. Strings

4. Printing Formatted Strings

5. Collecting User input

6. Decision Making in Python

7. Loops in Python

8. Lists

9. Sets

10. Dictionaries

11. Date and Time

12. Functions

13. Classes

14. Exceptions

15. List Comprehensions

Lets get started!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Installing the Jupyter Notebook

Lecture 3: Hello World in Python

Lecture 4: Keywords in Python

Lecture 5: Data Types and Variables in Python

Lecture 6: Math in Python

Lecture 7: Strings in Python

Lecture 8: Formatted String in Python

Lecture 9: Getting User Input in Python

Lecture 10: Decision Making in Python

Lecture 11: Creating Loops in Python

Lecture 12: Using Lists in Python

Lecture 13: Using Dictionaries in Python

Lecture 14: Using Tuples in Python Updated 2023

Lecture 15: Sets in Python

Lecture 16: List Comprehensions in Python

Lecture 17: Lambda Functions in Python

Lecture 18: Date and Time in Python

Lecture 19: Functions in Python

Lecture 20: Classes in Python

Lecture 21: Exceptions in Python

Lecture 22: Decorators in Python (Added 2023)

Lecture 23: Files in Python (Added 2023)

Lecture 24: Using the Requests Library to handle HTTP Requests (Added 2023)

Instructors

Henry Palma
Software/Data Engineer/Mobile Developer

Rating Distribution

1 stars: 2 votes

2 stars: 2 votes

3 stars: 15 votes

4 stars: 61 votes

5 stars: 82 votes

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!