Mosh Hamedani – Python Programming For Developers

Description

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.

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

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)
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

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