Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Python for the Jupyter Notebook
Rating: 4.5 out of 5(497 ratings)
4,507 students

Python for the Jupyter Notebook

Python Basics for new programmers using the Jupyter Notebook.
Created byHenry Palma
Last updated 4/2023
English
English [Auto],

What you'll learn

  • How to program in Python using the Jupyter Notebook

Course content

1 section • 24 lectures • 2h 39m total length

  • Introduction1:10
  • Installing the Jupyter Notebook3:14

    This tutorial covers installing the Jupyter Notebook.

  • Hello World in Python4:15

    This tutorial covers code cells, markdown cells, printing text and writing comments in code.

  • Keywords in Python2:01

    This tutorial reviews the reserved keywords in the Python Programming Language.

  • Data Types and Variables in Python6:07

    This tutorial covers creating variables and the main types used in Python.

  • DataTypes
  • Math in Python2:52

    This tutorial covers performing math calculations in Python.

  • Strings in Python13:06

    This tutorial covers creating and searching Strings in Python.

  • Formatted String in Python4:01

    This tutorial covers printing and formatting Strings in Python.

  • Getting User Input in Python2:19

    This tutorial covers collecting user input in Python and the Jupyter Notebook.

  • Decision Making in Python12:52

    This tutorial covers decision making in Python using if, elif, else statements.

  • Creating Loops in Python7:45

    This tutorial covers creating loops in Python using For and While loops.

  • Using Lists in Python11:17

    This tutorial covers creating and manipulating Lists in Python.

  • Using Dictionaries in Python5:51

    This tutorial covers creating and manipulating Dictionaries in Python.

  • Using Tuples in Python Updated 20234:56

    How to use Tuples in Python. Updated 2023

  • Sets in Python9:54

    This tutorial covers creating and manipulating Sets in Python.

  • List Comprehensions in Python5:27

    This Tutorial covers using List Comprehensions in Python.

  • Lambda Functions in Python3:39

    This tutorial covers creating and manipulating Lambda Functions in Python.

  • Date and Time in Python11:08

    This Tutorial covers creating and using dates in Python Programs.

  • Functions in Python7:38

    This tutorial covers creating and using Functions in Python.

  • Classes in Python10:20

    This tutorial coves creating and using Classes in Python.

  • Exceptions in Python14:37

    This tutorial covers creating and using exceptions in Python.

  • Decorators in Python (Added 2023)3:13

    Using decorators to improve code readability

  • Files in Python (Added 2023)5:23
  • Using the Requests Library to handle HTTP Requests (Added 2023)6:42

    Learn to use the Python requests library to perform get, post, put, and delete requests, handle responses and common HTTP status codes, and run through a dummy API example.

Requirements

  • none

Description

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!

Who this course is for:

  • Beginner Python Developers

Report abuse