Mosh Hamedani – Python Programming for Developers

Education – Python is popular globally in schools, colleges, universities. It’s so simple that young kids can pick it up, but so powerful PHD students use it.

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Mosh Hamedani – Python Programming for Developers

Fast-track course to learn Python

Finally, a Python course that doesn’t insult your intelligence and assume you know nothing.

Let’s face it, you know what a variable and function are – you don’t need me to tell you! That’s why this course is designed to be different. It’s a specialist crash course for developers that gets you up-to-speed in no time.

Why Learn Python?

Boost your existing skills – growing demand for Python developers
It’s versatile – Mathematicians, scientists and engineers use it for various applications
Easier to master than languages such as C, C++, JavaScript, etc.
Universities teach it – both in computer science and other courses
Big companies use it – Google, Facebook, Dropbox, Reddit, Spotify, Quora, etc.
Runs cross-platform – Python apps work on Windows, Mac, Linux

What can you do with Python?

Scripting – easily automate repetitive tasks e.g. web crawling, sending emails…
App backends – use Python frameworks to build app backends fast with less code
AI & machine learning – number 1 language in this field – big library & data collection
Data analysis & visualization – perfect for today’s big data world
Computation & calculation – simple syntax & many powerful libraries – scientists, engineers, mathematicians can focus on creating algorithms, formulae, etc.
Desktop apps – Dropbox desktop app is written in Python! Need I say more?!
Education – Python is popular globally in schools, colleges, universities. It’s so simple that young kids can pick it up, but so powerful PHD students use it.

Earn $116k per year on average with Python skills

(source: https://www.daxx.com/article/python-developer-salary-usa)

There’s a shortage of Python developers and that means high salaries.

Python is used in most AI & Machine Learning operations. The vast majority of data scientists and analysts swear by it. It’s also gaining popularity with app developers, so there are literally thousands of job posts, and not enough skilled people to fill them.
Premium Course that Leads You to Python Perfection

No-nonsense Python – Some other courses blind you with complexity. I believe simple & pretty code is best and that’s what you learn in this course.
Code apps super-fast – Get hands-on right away. Python lets you build apps faster & with fewer lines of code than other languages.
Get your geek-on! – Get Python pro tips and tricks. Learn about all the modern Python tools that professional developers are using.
Create command-line utilities – Python is perfect for command-line interfaces. Simple, useful and powerful. No wonder it’s so popular.
Make scripts to save time & effort – Sick of repetitive, boring tasks? No problem. Learn how to use Python to automate all that.

Coding in Minutes!

Stop wasting time on confusing and out-of-date blog posts, tutorials and YouTube videos. Enrol on this complete course that gets straight to the point. You’ll coding from the get-go.

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

What’s Included

Python Fundamentals
Data Structures
Object-oriented Programming (OOP)
Writing Reusable Code
Error Handling
Automation
Web Scraping
Consuming APIs
Automated Testing with Selenium

Consuming 3rd-party Packages
Publishing Python Packages
Working with Files and Directories
Working with CSV and JSON Files
Working with Excel Spreadsheets
Working with PDFs
Working with ZIP Files
Sending Emails and Text Messages
Introduction to Building Web Apps

12
hours
200+
lessons

Bite-sized, memorable and easy-to-digest videos with zero fluff
Learn to write Python code with confidence by the end of this course
Prerequisites

This course is designed for people with at least 3 months of programming experience. At a minimum, you should know the fundamentals of programming such as variables, functions, conditional statements and loops. If you’re not familiar with these concepts, check out Python Programming for Beginners.
30-Day Money-Back Guarantee
Try it risk-free

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.

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 – Python Programming for Developers

Course Curriculum

1- Getting ed (30m)

1- What is Python (3:21)

2- Installing Python (2:20)

3- Code Editors (0:58)

4- Your First Python Program (2:25)

5- Python Extension (2:52)

6- Linting Python Code (4:14)

7- Formatting Python Code (3:54)

8- Running Python Code (2:59)

9- Python Implementations (2:28)

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

11- Summary (0:21)

2- Python Basics (1h16m)

1- Variables (2:04)

2- Dynamic Typing (2:36)

3- Type Annotation (1:50)

4- Mutable and Immutable Types (2:58)

5- Strings (4:11)

6- Escape Sequences (3:19)

7- Formatted Strings (2:08)

8- Useful String Methods (3:20)

9- Numbers (2:09)

10- Arithmetic Operators (1:47)

11- Working with Numbers (2:37)

12- Type Conversion (4:22)

13- Conditional Statements (3:24)

14- Logical Operators (3:06)

15- Ternary Operator (1:17)

16- For Loops (4:08)

17- For..Else (2:38)

18- While Loops (1:46)

19- Functions (4:41)

20- Arguments- xargs (2:27)

21- Arguments- xxargs (2:04)

22- Scope (3:37)

23- Debugging (3:32)

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

25- VSCode Coding Tricks – Mac (1:49)

26- Exercise (1:29)

27- Solution (4:41)

3- 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)

A Quick Note

4- 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)

5- Classes (1h20m)

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)

6- 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)

7- 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)

8- Python Package Index (40m)

1- Pypi (1:49)

2- Pip (6:23)

3- Virtual Environments (4:04)

4- Pipenv (3:40)

Get immediately download Mosh Hamedani – Python Programming for Developers

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)

9- 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)

10- Building Web Applications with Django (115m)

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)

11- 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)

Thank you

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.

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