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Learn to code with an Introduction to Python 3

An introduction to Python 3 and interactive programming with Jupyter Notebooks
4.6
4.6/5
(105 reviews)
12,982 students
Created by

8.6

Classbaze Grade®

8.4

Freshness

8.2

Popularity

8.5

Material

An introduction to Python 3 and interactive programming with Jupyter Notebooks
Platform: Udemy
Video: 21h 46m
Language: English
Next start: On Demand

Best Python classes:

Classbaze Rating

Classbaze Grade®

8.6 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

8.4 / 10
This course was last updated on 1/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.2 / 10
We analyzed factors such as the rating (4.6/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

8.5 / 10
Video Score: 10.0 / 10
The course includes 21h 46m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 7 hours 31 minutes of 1,582 Python courses on Udemy.
Detail Score: 9.9 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

In this page

About the course

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

What can you learn from this course?

✓ 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

What you need to start the course?

• Basic computer knowledge
• Patience and willingness to learn.

Who is this course is made 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.

Are there coupons or discounts for Learn to code with an Introduction to Python 3 ? What is the current price?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.
The average price is $20.1 of 1,582 Python courses. So this course is 25% cheaper than the average Python course on Udemy.

Will I be refunded if I'm not satisfied with the Learn to code with an Introduction to Python 3 course?

YES, Learn to code with an Introduction to Python 3 has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Learn to code with an Introduction to Python 3 course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who will teach this course? Can I trust Chris Levy?

Chris Levy has created 5 courses that got 2,549 reviews which are generally positive. Chris Levy has taught 26,127 students and received a 4.5 average review out of 2,549 reviews. Depending on the information available, we think that Chris Levy is an instructor that you can trust.
Research Scientist / Data Scientist / PhD Applied Math
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.
Browse all courses by on Classbaze.

8.6

Classbaze Grade®

8.4

Freshness

8.2

Popularity

8.5

Material

Platform: Udemy
Video: 21h 46m
Language: English
Next start: On Demand

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