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2021-01-19 12:03:38
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Learn to code with an Introduction to Python 3

An introduction to Python 3 and interactive programming with Jupyter Notebooks
Rating: 4.6 out of 54.6 (73 ratings)
12,904 students
Created by Chris Levy
Last updated 1/2021
English
English [Auto]
30-Day Money-Back Guarantee

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.
  • Setting up Pycharm IDE and Virtual Environments
  • Control Flow in Python
  • Data Structures in Python
  • Functions in Python
  • Classes in Python

Requirements

  • Basic computer knowledge
  • Patience and willingness to learn.

Description

This course is for beginners who are interested in learning to code. This course begins with teaching Python 3 in an interactive style through the use of Jupyter Notebooks. You will also learn to write programs within the integrated development environment (IDE) Pycharm.

In the setup videos for the course you will be told how to access the Github Repo which has all the content for the course additional to the videos hosted on Udemy. This additional content contains all the Python code files, the practice questions and solutions, as well as all the material in a nicely formatted online book.


Chapter 1: Intro To Python

  • interactive Python

  • Jupyter Notebooks

  • print

  • strings

  • variables

  • numerical data types (integers and floats)

  • string formating with f-strings

  • indexing and slicing strings

  • getting input from a user

Chapter 2: Control Flow

  • boolean data type (True and False)

  • operators

    • comparison operators (==, !=, >, <, >=, <=)

    • logical operators (and, or, not)

    • membership operators (in, not in)

  • if, elif, and else statements

  • lists

    • indexing and slicing

    • getting length of a list with len()

    • appending to a list with append() and extend() methods

    • list concatenation with + operator

    • intro to mutable and immutable objects

  • for loops and while loops

  • range() function

  • break and continue and pass statements

  • more Python basic operators

    • % modulus

    • +=, -=, *=, /=

Chapter 3: Functions

  • What are functions and why do we use them?

  • Examples of functions that are built into Python.

  • Defining your own functions.

  • Function arguments

    • positional arguments

    • keyword arguments

    • default arguments

  • return statement

  • Local and global scope

Chapter 4: Data Structures

  • lists

    • more list methods

    • list comprehensions

  • tuples

  • dictionaries

    • keys and values

    • ways of iterating over dictionaries

  • sets

  • using *args and **kwargs in function definitions

Chapter 5: Virtual Environments, Packages, Pycharm IDE

  • importing libraries in your Python code with import statements

  • creating virtual environments for projects

  • installing packages/libraries into those projects with pip

  • creating your own modules for importing

  • Setting up an integrated development environment (IDE) with the use of the popular IDE, Pycharm

Chapter 6: Truthy and Falsy Values, None Value, Exception Handling, Reading and Writing Files

  • Truthy and Falsy values

  • The None value

  • About different Python errors and how to do exception handling with try and Except

  • How to read data from a file and write data back to a file

Chapter 7: Intro to Classes and Object Oriented Programming

  • defining and creating classes

  • instantiate an object from a class

  • instance methods and attributes

  • class methods and attributes

  • subclassing and inheritance

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.

Course content

9 sections • 153 lectures • 21h 46m total length

  • Preview01:24
  • 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

  • Intro to Chapter 5 and Import Statements
    11:53
  • Intro to PIP and External Libraries
    09:23
  • Intro to Tools for for creating Virtual Environments and Package Management
    09:12
  • Using venv for Creating Virtual Environments
    27:44
  • Creating Folder for Virtual Environments Windows and Sample Numpy Example
    07:14
  • Creating Folder for Virtual Environments Mac and Sample Numpy Example
    07:24
  • Intro Pycharm IDE
    01:28
  • Installing Pycharm IDE on Mac
    03:21
  • Installing Pycharm IDE on Windows
    03:47
  • Setting Up Simple Project and Virtual Environment Pycharm (Windows)
    18:59
  • Setting Up Simple Project and Virtual Environment Pycharm (Mac)
    14:35
  • Image Project Intro
    00:40
  • Image VENV Setup Windows
    09:24
  • Image VENV Setup MAC
    09:03
  • Getting Image Content From URL and More About Pycharm
    16:04
  • Pillow Image Object From Image URL
    13:21
  • Using our Image Module in Jupyter
    11:24
  • Function For Downloading Images Part 1
    10:55
  • Function For Downloading Images Part 2
    10:16

  • Truthy and Falsy Values
    11:30
  • None Data Type
    10:31
  • Intro Errors and Exceptions
    08:46
  • Some Example Base Exceptions
    03:47
  • Handling Exceptions with Try Except Blocks
    11:23
  • Raising Exceptions
    09:00
  • User Defined Exceptions and Optional Clauses
    07:47
  • Two more Examples
    10:17
  • Wriring Data to a File
    14:52
  • Reading Data from a File
    08:19
  • Chapter 6 Practice Questions
    00:59
  • Chapter 6 Practice Questions Solutions 1-3
    10:57
  • Chapter 6 Practice Questions Solutions 4-6
    08:50

  • Intro to Classes: Person Example
    11:08
  • Adding Methods to the Person Class
    10:55
  • Bank Account Class Example Intro
    11:46
  • Bank Account Class Continued: Transaction History for Deposits
    08:33
  • Bank Account Class Continued: Transaction History for Withdrawals
    07:37
  • Transit Bus Class Intro
    12:28
  • Transit Bus Class and Class Variables
    06:03
  • Transit Bus Class and Class Variables Part 2
    06:00
  • Transit Bus Class and Class Methods
    09:37
  • Class Inheritance
    11:38

  • Next Steps
    02:38

Instructor

Chris Levy
Research Scientist / Data Scientist / PhD Applied Math
Chris Levy
  • 4.4 Instructor Rating
  • 1,808 Reviews
  • 22,572 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.

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