Mosh Hamedani – Complete Python Mastery

It’s the #1 language for AI and machine learning, and the ideal language to learn for beginners. Much easier than C++ or JavaScript!

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Mosh Hamedani – Complete Python Mastery

Python is the most popular programming language in the world. The average salary for a Python developer is $116k in the USA. That’s almost $30k more than other developers!

Python is used by big companies like Google, Facebook, Dropbox, Reddit, Spotify, Quora, etc.

Mathematicians, scientists, engineers and developers love it because of its simple and elegant syntax.

It’s the #1 language for AI and machine learning, and the ideal language to learn for beginners. Much easier than C++ or JavaScript!

This course teaches you everything Python has to offer from the basics to more advanced topics.

A perfect mix of theory and practice, packed with real-world examples, exercises and step-by-step solutions – free of “fluff” and lengthy description!

Discover how to use Python in automation, web development and machine learning.

Beginner to Advanced
Lifetime Access
200 Lessons
12 Hours of Video
Exercises and Solutions
Downloadable
Subtitles
Access on Mobile/TV
Certificate

Hi, I’m Mosh and I can’t wait to teach you Python!

By the end of this course, you’ll be able to…

Write Python code with confidence
Get ready to learn web development and machine learning with Python
Build command-line utilities
Automate boring, repetitive tasks
Write clean code like a pro

What You’l Learn…

Along with all the programming fundamentals, you’ll learn how to…

Use essential Python data structures
Use classes and modules
Apply object-oriented programming principles

Work with exceptions
Build web scraping tools
Use 3rd-party Python packages and publish your own
Work with files and directories
Work with CSV, JSON, Excel spreadsheets, PDFs, ZIP files, etc
Send emails and text messages
Automate UI testing with Selenium
Call backend APIs
Basics of building web apps with Python and Django
Use Python in machine learning and data science projects
And much, much more!

Bite-sized, memorable and easy-to-digest videos with zero fluff.

Done with your python course ?? Now i am more motivated to build apps and machine learning models with Python ?? Thank you for your course are a great teacher @moshhamedani
— Awais Chaudhary (@ChAwais25) March 2, 2019

Looking to learn #python? Look no further than the new course by @moshhamedani! Mosh’s courses are my go-to to learn all cutting-edge technologies!
— Brian Poole (@Zipped6648) December 11, 2018

Who is this course for?

Anyone who wants to learn programming for the first time
College students who want to better understand Python
Anyone who wants to automate repetitive tasks with Python
Anyone pursuing a career in AI, data science or web development
Python developers who want to brush up on their Python skills

No Prior Knowledge Needed

This course assumes you know nothing about Python or any other programming languages. Go from complete beginner to expert, with plenty of hands-on exercises along the way.
Join 55318 happy students!

Your Instructor

Mosh Hamedani
Mosh Hamedani

Hi! My name is Mosh Hamedani. I’m a software engineer with two decades of experience. I’ve taught millions of people how to code and how to become professional software engineers through my online courses and YouTube channel.

I believe coding should be fun and accessible to everyone.

Get immediately download Mosh Hamedani – Complete Python Mastery

Course Curriculum

1- Getting ed (32m)

1- What is Python (3:21)

2- Installing Python (1:52)

3- Python Interpreter (1:55)

4- Code Editors (1:19)

5- Your First Python Program (3:36)

6- Python Extension (2:52)

7- Linting Python Code (4:14)

8- Formatting Python Code (3:54)

9- Running Python Code (2:59)

10- Python Implementations (2:28)

11- How Python Code is Executed (2:46)

12- Quiz (1:37)

Follow Me Around

2- Primitive Types (34m)

1- Variables (3:04)

2- Variable Names (3:02)

3- Strings (5:30)

4- Escape Sequences (2:40)

5- Formatted Strings (2:08)

6- String Methods (5:54)

7- Numbers (2:46)

8- Working with Numbers (2:09)

9- Type Conversion (5:04)

10- Quiz (2:43)

3- Control Flow (37m)

1- Comparison Operators (2:04)

2- Conditional Statements (4:09)

3- Ternary Operator (2:09)

4- Logical Operators (4:02)

5- Short-circuit Evaluation (2:06)

6- Chaining Comparison Operators (1:22)

7- Quiz (1:43)

8- For Loops (3:38)

9- For..Else (2:46)

10- Nested Loops (2:44)

11- Iterables (3:08)

12- While Loops (4:59)

13- Infinite Loops (1:37)

14- Exercise (2:05)

4- Functions (41m)

1- Defining Functions (2:24)

2- Arguments (2:20)

3- Types of Functions (4:02)

4- Keyword Arguments (2:00)

5- Default Arguments (1:35)

6- xargs (4:15)

7- xxargs (2:20)

8- Scope (5:09)

9- Debugging (6:50)

10- VSCode Coding Tricks – Windows (2:21)

11- VSCode Coding Tricks – Mac (1:49)

12- Exercise (1:29)

13- Solution (4:41)

A Quick Note

5- Data Structures (1h20m)

1- Lists (3:54)

2- Accessing Items (3:13)

3- List Unpacking (3:51)

4- Looping over Lists (2:54)

5- Adding or Removing Items (2:56)

6- Finding Items (1:28)

7- Sorting Lists (4:35)

8- Lambda Functions (1:49)

9- Map Function (3:25)

10- Filter Function (2:05)

11- List Comprehensions (3:10)

12- Zip Function (1:49)

13- Stacks (4:24)

14- Queues (2:50)

15- Tuples (4:02)

16- Swapping Variables (2:37)

17- Arrays (3:11)

18- Sets (4:03)

19- Dictionaries (5:24)

20- Dictionary Comprehensions (3:19)

21- Generator Expressions (3:51)

22- Unpacking Operator (4:05)

23- Exercise (6:21)

6- Exceptions (20m)

1- Exceptions (2:16)

2- Handling Exceptions (4:10)

3- Handling Different Exceptions (3:05)

4- Cleaning Up (1:57)

5- The With Statement (3:07)

6- Raising Exceptions (3:21)

7- Cost of Raising Exceptions (4:41)

7- Classes (1h25m)

1- Classes (2:35)

2- Creating Classes (3:45)

3- Constructors (4:37)

4- Class vs Instance Attributes (3:58)

5- Class vs Instance Methods (4:05)

6- Magic Methods (3:13)

7- Comparing Objects (3:11)

8- Performing Arithmetic Operations (1:31)

9- Making Custom Containers (6:55)

10- Private Members (3:40)

11- Properties (7:30)

12- Inheritance (4:23)

13- The Object Class (2:23)

14- Method Overriding (3:14)

15- Multi-level Inheritance (2:42)

16- Multiple Inheritance (3:22)

17- A Good Example of Inheritance (4:31)

18- Abstract Base Classes (4:50)

19- Polymorphism (3:56)

20- Duck Typing (2:50)

21- Extending Built-in Types (2:26)

22- Data Classes (4:36)

8- Modules (20m)

1- Creating Modules (4:16)

2- Compiled Python Files (2:19)

3- Module Search Path (1:35)

4- Packages (2:27)

5- Sub-packages (1:01)

6- Intra-package References (1:36)

7- The dir Function (1:39)

8- Executing Modules as Scripts (2:55)

9- Python Standard Library (1h)

1- Python Standard Library (0:51)

2- Working With Paths (4:48)

3- Working with Directories (4:14)

4- Working with Files (3:59)

5- Working with Zip Files (3:15)

6- Working with CSV Files (4:50)

7- Working with JSON Files (3:57)

8- Working with a SQLite Database (9:10)

9- Working with Timestamps (2:24)

10- Working with DateTimes (5:05)

11- Working with Time Deltas (2:41)

12- Generating Random Values (4:09)

13- Opening the Browser (1:12)

14- Sending Emails (6:48)

15- Templates (4:53)

16- Command-line Arguments (1:54)

17- Running External Programs (8:06)

10- Python Package Index (1h30m)

1- Pypi (1:49)

2- Pip (6:23)

3- Virtual Environments (4:04)

4- Pipenv (3:40)

5- Virtual Environments in VSCode (3:49)

6- Pipfile (4:48)

7- Managing Dependencies (3:28)

8- Publishing Packages (8:22)

9- Docstrings (5:48)

10- Pydoc (4:06)

11- Popular Python Packages (1h30m)

1- Introduction (1:41)

2- What are APIs (2:36)

3- Yelp API (2:51)

4- Searching for Businesses (9:54)

5- Hiding API Keys (2:05)

6- Sending Text Messages (6:02)

7- Web Scraping (9:06)

8- Browser Automation (11:28)

9- Working with PDFs (6:18)

10- Working with Excel Spreadsheets (9:52)

11- Command Query Separation Principle (4:39)

12- NumPy (9:05)

12- Building Web Applications with Django (30m)

1- Introduction (1:43)

2- Your First Django Project (4:11)

3- Your First App (3:41)

4- Views (7:59)

5- Models (4:57)

6- Migrations (8:00)

7- Changing the Models (5:38)

8- Admin (4:29)

9- Customizing the Admin (6:55)

10- Database Abstraction API (3:52)

11- Templates (10:23)

12- Adding Bootstrap (4:19)

13- Customizing the Layout (2:23)

14- Sharing a Template Across Multiple Apps (3:48)

15- Url Parameters (4:37)

16- Getting a Single Object (3:48)

17- Raising 404 Errors (3:51)

18- Referencing Urls (3:47)

19- Creating APIs (9:26)

20- Adding the Homepage (4:27)

21- Getting Ready to Deploy (9:44)

22- Deployment (7:59)

Machine Learning with Python (30m)

1- What is Machine Learning (1:58)

2- Machine Learning in Action (2:47)

3- Libraries and Tools (4:54)

4- Importing a Data Set (6:21)

5- Jupyter Shortcuts (5:26)

6- A Real Machine Learning Problem (3:17)

7- Preparing the Data (3:05)

8- Learning and Predicting (4:04)

9- Calculating the Accuracy (6:20)

10- Persisting Models (3:14)

11- Visualizing a Decision Tree (6:26)

12- What to Learn Next

13- Thank You

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I’m confident you’ll get everything you need from this course and be 100% satisfied. But in the unlikely event you decide it’s not for you just ask for a refund any time during the first 30 days and you’ll get your money back with no questions asked.

Frequently Asked Questions

When does the course and finish?
The course s now and never ends! It is a completely self-paced online course – you decide when you and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like – across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.
How is this course different from the YouTube tutorial?
My YouTube tutorial gives a quick overview of the essential Python features but it doesn’t cover any of these features in detail. It’s great for absolute beginners or hobbyists. If you’re serious about learning Python, this course is for you.

Read more: https://archive.is/Lc9PT