4.58 (343817 reviews)
☑ Learn to use Python professionally, learning both Python 2 and Python 3!
☑ Create games with Python, like Tic Tac Toe and Blackjack!
☑ Learn advanced Python features, like the collections module and how to work with timestamps!
☑ Learn to use Object Oriented Programming with classes!
☑ Understand complex topics, like decorators.
☑ Understand how to use both the Jupyter Notebook and create .py files
☑ Get an understanding of how to create GUIs in the Jupyter Notebook system!
☑ Build a complete understanding of Python from the ground up!
Become a Python Programmer and learn one of employer's most requested skills of 2021!
This is the most comprehensive, yet straight-forward, course for the Python programming language on Udemy! Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course we will teach you Python 3.
With over 100 lectures and more than 21 hours of video this comprehensive course leaves no stone unturned! This course includes quizzes, tests, coding exercises and homework assignments as well as 3 major projects to create a Python project portfolio!
Learn how to use Python for real-world tasks, such as working with PDF Files, sending emails, reading Excel files, Scraping websites for informations, working with image files, and much more!
This course will teach you Python in a practical manner, with every lecture comes a full coding screencast and a corresponding code notebook! Learn in whatever manner is best for you!
We will start by helping you get Python installed on your computer, regardless of your operating system, whether its Linux, MacOS, or Windows, we've got you covered.
We cover a wide variety of topics, including:
Command Line Basics
Installing Python
Running Python Code
Strings
ListsÂ
Dictionaries
Tuples
Sets
Number Data Types
Print Formatting
Functions
Scope
args/kwargs
Built-in Functions
Debugging and Error Handling
Modules
External Modules
Object Oriented Programming
Inheritance
Polymorphism
File I/O
Advanced Methods
Unit Tests
and much more!
You will get lifetime access to over 100 lectures plus corresponding Notebooks for the lectures!
This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back. Plus you will keep access to the Notebooks as a thank you for trying out the course!
So what are you waiting for? Learn Python in a way that will advance your career and increase your knowledge, all in a fun and practical way!
Course Overview
Course Introduction
Course Curriculum Overview
Python 2 versus Python 3
Course FAQs
Python Setup
Command Line Basics
Installing Python (Step by Step)
Running Python Code
Getting the Notebooks and the Course Material
Git and Github Overview (Optional)
Python Object and Data Structure Basics
Introduction to Python Data Types
Python Numbers
Numbers: Simple Arithmetic
Numbers - FAQ
Numbers Quiz
Variable Assignments
Introduction to Strings
Quick Print Check
Indexing and Slicing with Strings
String Indexing
String Slicing
String Properties and Methods
Strings -FAQ
Strings Quiz
Print Formatting with Strings
Print Formatting FAQs
Print Formatting
Lists in Python
Lists
Lists - FAQ
Lists Quiz
Dictionaries in Python
Dictionaries
Dictionaries - FAQ
Dictionaries Quiz
Tuples with Python
Tuples Quiz
Sets in Python
Sets
Booleans in Python
Sets and Booleans Quiz
I/O with Basic Files in Python
File I/O
Resources for More Basic Practice
Python Objects and Data Structures Assessment Test Overview
Python Objects and Data Structures Assessment Test Solutions
Python Comparison Operators
Comparison Operators in Python
Chaining Comparison Operators in Python with Logical Operators
Comparison Operators Quiz
Python Statements
If Elif and Else Statements in Python
For Loops in Python
While Loops in Python
Useful Operators in Python
List Comprehensions in Python
Python Statements Test Overview
Python Statements Test Solutions
Methods and Functions
Methods and the Python Documentation
Functions in Python
Overview of Quick Function Exercises #1-10
Functions #1: print Hello World
Functions #2: print Hello Name
Functions #3 - simple Boolean
Functions #4 - using Booleans
Functions #5: simple math
Functions #6: is even
Functions #7: is greater
*args and **kwargs in Python
Functions #8: *args
Functions #9: pick evens
Functions #10: skyline
Function Practice Exercises - Overview
Function Practice Exercises - Solutions
Function Practice - Solutions Level One
Function Practice - Solutions Level Two
Function Exercise Solutions - Challenge Problem
Lambda Expressions, Map, and Filter Functions
Nested Statements and Scope
Functions and Methods - Homework Assignment
Hints and Tips for Functions and Methods Assignment
Functions and Methods Homework - Solutions
Milestone Project - 1
First Python Milestone Project Overview
Milestone Project Help
Solution Overview for MileStone Project 1 - Part One
Solution Overview for MileStone Project 1 - Part Two
Advanced Project Solution Overview
Object Oriented Programming
Object Oriented Programming - Introduction
Object Oriented Programming - Attributes and Class Keyword
Object Oriented Programming - Class Object Attributes and Methods
Object Oriented Programming - Inheritance and Polymorphism
Object Oriented Programming - Special (Magic/Dunder) Methods
Object Oriented Programming - Homework
Object Oriented Programming - Homework Solutions
Object Oriented Programming - Challenge Overview
Object Oriented Programming - Challenge Solution
Modules and Packages
Pip Install and PyPi
Modules and Packages
__name__ and "__main__"
Errors and Exceptions Handling
Errors and Exception Handling
Errors and Exceptions Homework
Errors and Exception Homework - Solutions
Pylint Overview
Running tests with the Unittest Library
Milestone Project - 2
Milestone Project 2 Overview
Solution Walkthrough - Card and Deck classes
Solution Walkthrough - Hand and Chip Classes
Solution Walkthrough - Functions for Game Play
Solutions Walkthrough - Final Gameplay Script
Python Decorators
Decorators with Python Overview
Decorators Homework
Python Generators
Generators with Python
Generators Homework Overview
Generators Homework Solutions
Final Capstone Python Project
Final Capstone Project
Advanced Python Modules
Collections Module - counter
Collections Module - defaultdict
Collections Module - OrderedDict
Collections Module - namedtuple
Datetime
Python Debugger - pdb
Timing your code - timeit
Regular Expressions -re
StringIO
Advanced Python Modules FAQ
Advanced Python Objects and Data Structures
Advanced Numbers
Advanced Strings
Advanced Sets
Advanced Dictionaries
Advanced Lists
Advanced Python Objects Assessment Test
Advanced Python Objects Test - Solutions
Bonus Material - Introduction to GUIs
Introduction to GUIs
Quick note about ipywidgets
Interact Functionality with GUIs
GUI Widget Basics
List of Possible Widgets
Widget Styling and Layouts
Example of what a Widget can do!
APPENDIX: OLDER PYTHON 2 MATERIAL
NOTE ABOUT THIS SECTION
How to Approach This Course
Python 2 vs Python 3
Jupyter Notebook Installation
FAQ - Notebooks
Numbers
IDE Selection
Strings
Print Formatting
Lists
Dictionaries
Files
Sets and Booleans
Tuples
Objects and Data Structures Assessment Test
Objects and Data Structures Assessment - Solutions
Comparison Operators
Chained Comparison Operators
Introduction to Python Statements
if, elif, and else Statements
for Loops
while Loops
range()
List Comprehensions
Statements Assessment Test
Statements Assessment Solutions
Methods
Functions
lambda expressions
Nested Statements and Scope
Milestone Project 1 Section
Milestone Project 1 -Assignment Overview
Milestone Project 1 - Solution Walkthrough - Part 1
Milestone Project 1 - Solution Walkthrough - Part 2
Milestone Project 1 - Solution Walkthrough - Part 3
OOP - Part 1 - Objects
OOP - Part 2 - Classes
OOP - Part 3 -Methods
OOP - Part 4 - Inheritance
OOP - Part 5 - Special Methods
OOP Homework Assignment
OOP Homework Solution
Errors and Exceptions
Exception Handling: try, except, finally
Errors and Exceptions Homework
Errors and Exceptions - Solutions
Modules, Packages, and Imports
Modules and Packages Assignment
Create your own Python modules.
Project Overview
Project 2 Solution
Python 3 Notes for Map, Reduce, and Filter
Map
Reduce
Filter
Zip
Enumerate
all() and any()
Complex
Built-in Functions Assessment Test
Built-in Functions Assessment Test Solutions
Decorators - Part 1
Decorators - Part 2
Decorators - Part 3
Iteration vs Generation
Creating Generators
Iterators and Generators Homework
Iterators and Generators Homework - Solutions
Interact
Widget Basics
Widget Events
Widget List
Widget Styling
Custom Widget Example
BONUS SECTION: THANK YOU!
BONUS LECTURE
The course instructor has provided clear slides with concise information, and his delivery is crisp, efficient, very informative and does not waste time with unnecessary details, or hesitation.
I think this is going to work out perfectly for me. I'm very new to python and I feel like this is going to help me create a plethora of new opportunities.
very good. Clear, concise, confirms i am in the right place. Sounds like there may be some fun in here.
This teacher on udemy is just literally amazing my school teacher used to teach me python but he was so boring that i always skipped his classes but this course made my interest in python and I amazing I will definitely recommend this.
great introduction to the couruse and a well explained overview of various applications python is used.
Yeah course content was good and explanation also effective and intact as if now I haven't faced any issues. Hope it will fulfill my needs at the end of the program. Kudos to the trainer.
it is very nice course and help to learn from the beginning to advanced module .By completing this course you will get familiar with python
I'm taking a Data Science accelerator course and while we touch on everything it is highly quick paced. This course allows me to work through what I do and do not understand and develop myself outside of class in a super meaningful way!
I am very happy with this course so far. The pacing is good--straightforward and detailed, but not too slow. I like that I can pick it up and do a few lessons when I have some spare time, or do a bunch in a row when I have more time available.
It is early but at this point the content appears to be very detailed and the instructor very knowledgeable.
Very descriptive, I would just add to include some real world applications along the course. Can help visualize or get a better understanding.
i think there should be given more details in 3rd lecture under difference between python2 and python3.
The introduction is good and detailed. It wasn't clear what is automatic welcome message. I looked for it in the e-mail, but it appeared to be in the Udemy messaging system. The transcription have multiple problem, it looks like it is based on automatic voice recognition.
Jose has been very elaborated and focused on functionalities,exercise is great addition in learning process.so far I am very comfortable with the language,able to code a few solutions on my own.Thanks for this course.
Each topic is explained plainly and in human terms. With examples at hand. For me, this is the preferred learning method.
Status | Date | Discount | ||
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Expired | 5/12/2019 | 95% OFF | ||
Expired | 8/25/2020 | 94% OFF | ||