What You’ll Discover in Mosh Hamedani Python Programming for Developers
Education – Python It is very popular in universities, schools, and colleges around the world. It’s so simple that young kids can pick it up, but so powerful PHD students use it.
Mosh Hamedani – Python Programming for Developers
Fast-Learn by following the track Python
Finally, 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 You can be a developer that helps you get up-To-Speed in no time
Why learn? Python?
Boost your existing skills – growing demand for Python developers
It’s versatile. Scientists, engineers, mathematicians and scientists all use it. for Diverse applications
It is easier to master than languages like C++, JavaScript, and JavaScript.
Universities teach it – both in computer science and other courses
Big companies use it – Google, Facebook, Dropbox, Reddit, Spotify, Quora, etc.
Runs across-platform – Python Apps can be used on Windows, Mac, and Linux
What are you capable of doing with it? Python?
Scripting – easily automate repetitive tasks e.g. web crawling, sending emails…
App backends – use Python Frameworks for fast and efficient app backend development with little 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! You need to hear more?!
Education – Python It is extremely popular at universities and schools around the globe. It’s so simple that young kids can pick it up, but so powerful PHD students use it.
Average $116k per Year Python skills
(source: https://www.daxx.com/article/python-developer-salary-usa)
There’s a shortage of Python Developers have high salaries.
Python is used in most AI & Machine Learning operations. It’s a trusted choice for data scientists and analysts. 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 Takes You to Python Perfection
No-Unsinful 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-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- 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 it? Machine Learning (1:58)
2- Machine Learning in Action (2.47)
3- Libraries and Tools (4.54)
4- Importing Data Sets (6:21).
5-Jupyter shortcuts (5.26)
6- A Real Machine Learning Issue (3:17).
7- Preparing the Data (3.05)
8- Learning and Predicting (04:04)
9- Calculating the Accuracy (6.20).
10- Persisting Models (3:14)
11- Visualizing Decision Tree (6.26)
Thank you
Frequently Asked Question
When does the course begin and end?
It is a course that never ends. It is completely self-explanatory.-You can take a self-paced online course.
What length of access do I have to the course?
Imagine lifetime access! Once you enroll, you will have unlimited access to the course. for You can use your devices as many times as you want, and you can do it on any device.
What happens if I’m unhappy with the course?
We don’t want you to be dissatisfied! We will refund your entire purchase if you are not satisfied within the first 30 days.
Continue reading: https://archive.is/zYrUl
IMPORTANT: This is the entire “Mosh Hamedani – Python Programming for Developers” It is totally Downloadable Available In your account
(If your link is broken, we will renew it as soon as possible).
We are grateful for your patience.
