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Python With Jupyter Quick Reference

(91 Ratings) 158 Students Enrolled
Created By admin Last Updated Wed,10-July-2019 English
  • Course Duration
    3 Hours
  • Mode of Training
    Self-Paced
  • Lessons
    20 Lessons
  • Placement Assistance
    Guaranteed
Free
12k+ satisfied learners Read Reviews
What Will I Learn?
  • Basic fundamentals of Python Programming Language.
  • Downloading all the packages with Anaconda Installation
  • How to work on variables and operators and explore on print functionality
  • Get access to python out of the box and Jupiter notebook.
  • Learn the Dictionary type in python like List, Tupples and Sets

Requirements
  • Basic fundamentals of how to use computer and English language
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Description
  1. Basic fundamentals of Python programming language.
  2. Learn what are the syntax and basic functionality to work on projects.
  3. Downloading all the packages with anaconda installation.
  4. Get access to python out of the box and Jupyter Notebook.
  5. How to work on variables and operators and explore on print functionality.
  6. Learn the dictionary type in python like List, Tupples and Sets.
  7. Create your own user define Functions and use Classes.
Curriculum For This Course
20 Lessons 3 Hours
  • 1. What is Anaconda and How to install 00:04:13 Preview
  • What are Jupyter Notebooks 00:03:34
  • How to run a Jupyter Notebook 00:12:10
  • Basic Mathematical Operations 00:11:54
  • Precedence - Order of Operations 00:05:01
  • Variable Assignment 00:08:34
  • Math operations, precedence, variables assignment Exercises Questions 00:09:07
  • Math operations, precedence, variables assignment Exercises Solutions 1 00:11:56
  • Math operations, precedence, variables assignment Exercises Solutions 2 00:15:21
  • Print Operation 00:09:16
  • Get User Input 00:11:21
  • Strings 00:10:50
  • Lists 00:15:53
  • Dictionaries and Booleans 00:12:45
  • Tuples and Sets 00:08:22
  • Comparison Operators 00:09:19
  • Logical Operators 00:10:03
  • Conditional Statements 00:15:07
  • For Loops 00:16:18
  • While Loops 00:08:11

Python With Jupyter Quick Reference