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Python for the Jupyter Notebook

Python Basics for new programmers using the Jupyter Notebook.
Rating: 4.2 out of 54.2 (55 ratings)
1,728 students
Created by Henry Palma
Last updated 5/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • How to program in Python using the Jupyter Notebook

Requirements

  • none

Description

If you are curious about Python, Data Science or Data Engineering start here. The goal of these tutorials are to get you writing Python in the Jupyter Notebook. I cover all of the basics you need to get you comfortable with the Jupyter Notebook and Python. The course covers:

  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

Who this course is for:

  • Beginner Python Developers

Course content

1 section • 21 lectures • 2h 26m total length

  • Preview01:10
  • Preview03:14
  • Hello World in Python
    04:15
  • Keywords in Python
    02:01
  • Data Types and Variables in Python
    06:07
  • DataTypes
    4 questions
  • Math in Python
    02:52
  • Strings in Python
    13:06
  • Preview04:01
  • Getting User Input in Python
    02:19
  • Decision Making in Python
    12:52
  • Creating Loops in Python
    07:45
  • Using Lists in Python
    11:17
  • Preview05:51
  • Using Tuples in Python
    06:56
  • Sets in Python
    09:54
  • List Comprehensions in Python
    05:27
  • Lambda Functions in Python
    03:39
  • Date and Time in Python
    11:08
  • Functions in Python
    07:38
  • Classes in Python
    10:20
  • Exceptions in Python
    14:37

Instructor

Henry Palma
Software/Data Engineer/Mobile Developer
Henry Palma
  • 4.0 Instructor Rating
  • 80 Reviews
  • 2,242 Students
  • 3 Courses

I have been working as a technologist for the last 18 years in multiple Financial institutions and technology consulting firms. I have worked in roles as a Data Analysts, Data Engineer, Software developer and Project/Program Manager. I enjoy both learning and teaching and look forward to providing great learning experiences here in Udemy.

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