Learn to code with an Introduction to Python 3

Name: Learn to code with an Introduction to Python 3
Brand: Udemy
SKU: course:3497946
Rating: 4.8 (4 reviews)

An introduction to Python 3 and interactive programming with Jupyter Notebooks

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(4 ratings)

12,854 students

Created by Chris Levy

Last updated 11/2020

English

English [Auto]

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What you'll learn

The basics of the python programming language.
How to code.
How to think critically and think like a programmer.
How to write code and markdown in Jupyter Notebooks.

Requirements

Basic computer knowledge will be useful.
If you have issues setting up the Python environment then it might require some patience and searching on Google if any issues come up.

Description

** More content being added every month **

There is so much more content in this course than just the pure video content. In the setup videos for this course I will show you how to access:

All the code, files, and Jupyter Notebooks.
All the practice problems and solutions.
The beautifully formatted book which is hosted online and obtains the content covered in the videos. It is much quicker to review content in this format after watching the videos.

This course is for complete beginners who are interested in learning to code. This course will teach you how to code with the programming language python. It is all about the basics which will give you the foundations to work on bigger projects. This course is ideal for anyone who is eager to learn coding. This course begins with teaching Python 3 in an interactive style through the use of Jupyter Notebooks. After learning the basics, you will also learn to write programs within the integrated development environment (IDE) Pycharm.

Who this course is for:

Anyone looking for an introduction to coding.
Anyone looking for an introduction to python programming language.
Anyone looking for some foundations in Python so they can then look into more advanced topics after learning the basics.

5 sections • 110 lectures • 14h 57m total length

Preview03:08
Preview04:07
Install Jupyter Notebook on Mac
05:28
Install Python 3 on Windows
04:48
Install Jupyter Notebook on Windows
05:17
Preview02:29
Setting Up Course Project Folder on Mac
05:02
Setting Up Course Project Folder on Windows
05:48
Intro to Jupyter Notebook
18:41

Print Function and Displaying Results in Jupyter
10:47
Intro to Strings
10:34
Intro to Variables
16:19
Numerical Data Types (Integers and Floats)
11:52
String Formatting and F-Strings
13:40
String Indexing and Slicing
13:19
Input Function For Getting User Input
03:32
Conversion Of Integers, Strings, and Floats
16:26
Preview04:50
Practice Questions Solutions Part 1
11:10
Practice Questions Solutions Part 2
12:50
Practice Questions Solutions Part 3
12:38

Boolean Data Type
02:43
Equal To Operator ==
08:18
Not Equal To Operator !=
04:55
Inequality Operators (>, < , >=, <=)
06:08
Logical Operators: and
09:24
Logical Operators: or
05:17
Logical Operators: not
02:55
Simple Practice Using Operators
11:10
Intro if Statement
08:13
Intro else Statement
05:44
Intro elif statement
11:19
if elif else examples part 1
09:10
if elif else examples part 2
06:05
nested if statements example
07:45
Intro to Lists
08:39
Getting the Length of a list and Appending to a list
10:00
Lists are Mutable as well as extend and concatenation
14:24
Membership Operators in and not in for Lists
08:36
Preview05:37
Intro to For Loops
14:47
For Loop Example 1 - Apending to empty list with condition >
09:24
For Loop Example 2 - Appending to empty list to get unique values
05:57
Intro to range() Function
09:37
Nested For Loop
09:20
Intro to break Statement
06:51
Intro to continue Statement
11:28
Intro While Loop
15:53
Intro pass statement
05:37
Modulo Operator
05:25
Some more assignment operators
06:59
Chapter 2 Practice Questions Intro
08:47
Chapter 2 Practice Questions #1
06:44
Chapter 2 Practice Questions #2
03:56
Chapter 2 Practice Questions #3
03:23
Chapter 2 Practice Questions #4
01:10
Chapter 2 Practice Questions #5
03:23
Chapter 2 Practice Questions #6
06:47
Chapter 2 Practice Questions #7
05:54
Chapter 2 Practice Questions #8
02:12
Chapter 2 Practice Questions #9
08:12
Chapter 2 Practice Questions #10
02:54
Chapter 2 Practice Questions #11
15:03
Chapter 2 Practice Questions #12
05:55
Chapter 2 Practice Questions #13
04:25
Chapter 2 Practice Questions #14
08:34

Intro to Functions and Built in Functions
09:14
Built in Function Examples: Round and Sum
03:43
Built in Function Examples: Enumerate and Zip
07:28
Intro to User Defined Functions
15:28
Functions without Arguments
07:42
Local Variables
09:07
Return Statement
06:44
Positional Arguments
09:01
Keyword Arguments
08:22
Default Arguments
08:32
Docstrings
06:04
Example 1: Print Simple Greeting Message
05:37
Example 2: Area of Circle
03:01
Example 3: Generating Random List
08:03
Example 4: Generating Prime Numbers
14:17
Chapter 3 Practice Questions Intro
05:04
Chapter 3 Practice Questions #1, #2
09:01
Chapter 3 Practice Questions #3
05:20
Chapter 3 Practice Questions #4
03:35
Chapter 3 Practice Questions #5, #6, #7
09:33

Intro to Data Structures and some List methods
07:43
More List Methods
10:30
Intro to List Comprehensions
09:23
More List Comprehension Examples
16:09
Intro to Tuples
19:10
Intro to Dictionaries
11:16
In operator for Dictionaries
06:53
Different Ways to Create Dictionaries
07:53
Looping Techniques for Dictionaries
09:03
Dictionary Keys are Unique
04:05
Intro to Sets
09:54
Intro to *args (Variable number of positional arguments)
12:06
Intro to **kwargs (Variable number of keyword arguments)
15:06
Chapter 4 Practice Questions Intro
04:57
Chapter 4 Practice Questions #1
03:07
Chapter 4 Practice Questions #2
09:45
Chapter 4 Practice Questions #3
04:44
Chapter 4 Practice Questions #4
08:13
Chapter 4 Practice Questions #5
07:20
Chapter 4 Practice Questions #6
06:43
Chapter 4 Practice Questions #7
10:46
Chapter 4 Practice Questions #8
12:11
Chapter 4 Practice Questions #9
03:39
Chapter 4 Practice Questions #10
03:53

Chris Levy

Research Scientist / Data Scientist / PhD Applied Math

4.4 Instructor Rating
1,571 Reviews
21,785 Students
5 Courses

I left the world of academia for a career in data science. Through years of industry experience I have developed skills as a full stack data scientist in the areas of data engineering, machine learning, data visualization, and productizing data science models. More recently I have been working as a research scientist with a focus on computer vision and deep learning.

I have experience teaching thousands of students in mathematics at the university level as well as thousands of students on Udemy in areas like math, SQL, and coding. I love to learn and teach others what I am learning.

I enjoy hanging out with my wife and three kids, playing guitar, playing basketball, biking, and learning.

This course includes:

Training 5 or more people?

Learn to code with an Introduction to Python 3

What you'll learn

Requirements

Description

Who this course is for:

Course content

Instructor

This course includes:

Training 5 or more people?

Learn to code with an Introduction to Python 3

What you'll learn

Requirements

Description

Who this course is for:

Course content

Intro and Setup9 lectures • 55min

Chapter 1: Introduction to Python Language12 lectures • 2hr 18min

Chapter 2: Tools for Control Flow45 lectures • 5hr 35min

Chapter 3: Functions20 lectures • 2hr 35min

Chapter 4: Data Structures24 lectures • 3hr 34min

Instructor