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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.
Mosh Hamedani – Python Programming for Developers course with special price just for you: $15 $8
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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.
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 Started (30m)
Start1- What is Python (3:21)
Start2- Installing Python (2:20)
Start3- Code Editors (0:58)
Start4- Your First Python Program (2:25)
Start5- Python Extension (2:52)
Start6- Linting Python Code (4:14)
Start7- Formatting Python Code (3:54)
Start8- Running Python Code (2:59)
Start9- Python Implementations (2:28)
Start10- How Python Code is Executed (2:46)
Start11- Summary (0:21)
2- Python Basics (1h16m)
Start1- Variables (2:04)
Start2- Dynamic Typing (2:36)
Start3- Type Annotation (1:50)
Start4- Mutable and Immutable Types (2:58)
Start5- Strings (4:11)
Start6- Escape Sequences (3:19)
Start7- Formatted Strings (2:08)
Start8- Useful String Methods (3:20)
Start9- Numbers (2:09)
Start10- Arithmetic Operators (1:47)
Start11- Working with Numbers (2:37)
Start12- Type Conversion (4:22)
Start13- Conditional Statements (3:24)
Start14- Logical Operators (3:06)
Start15- Ternary Operator (1:17)
Start16- For Loops (4:08)
Start17- For..Else (2:38)
Start18- While Loops (1:46)
Start19- Functions (4:41)
Start20- Arguments- xargs (2:27)
Start21- Arguments- xxargs (2:04)
Start22- Scope (3:37)
Start23- Debugging (3:32)
Start24- VSCode Coding Tricks – Windows (2:21)
Start25- VSCode Coding Tricks – Mac (1:49)
Start26- Exercise (1:29)
Start27- Solution (4:41)
3- Data Structures (1h20m)
Start1- Lists (3:54)
Start2- Accessing Items (3:13)
Start3- List Unpacking (3:51)
Start4- Looping over Lists (2:54)
Start5- Adding or Removing Items (2:56)
Start6- Finding Items (1:28)
Start7- Sorting Lists (4:35)
Start8- Lambda Functions (1:49)
Start9- Map Function (3:25)
Start10- Filter Function (2:05)
Start11- List Comprehensions (3:10)
Start12- Zip Function (1:49)
Start13- Stacks (4:24)
Start14- Queues (2:50)
Start15- Tuples (4:02)
Start16- Swapping Variables (2:37)
Start17- Arrays (3:11)
Start18- Sets (4:03)
Start19- Dictionaries (5:24)
Start20- Dictionary Comprehensions (3:19)
Start21- Generator Expressions (3:51)
Start22- Unpacking Operator (4:05)
Start23- Exercise (6:21)
StartA Quick Note
4- Exceptions (20m)
Start1- Exceptions (2:16)
Start2- Handling Exceptions (4:10)
Start3- Handling Different Exceptions (3:05)
Start4- Cleaning Up (1:57)
Start5- The With Statement (3:07)
Start6- Raising Exceptions (3:21)
Start7- Cost of Raising Exceptions (4:41)
5- Classes (1h20m)
Start1- Classes (2:35)
Start2- Creating Classes (3:45)
Start3- Constructors (4:37)
Start4- Class vs Instance Attributes (3:58)
Start5- Class vs Instance Methods (4:05)
Start6- Magic Methods (3:13)
Start7- Comparing Objects (3:11)
Start8- Performing Arithmetic Operations (1:31)
Start9- Making Custom Containers (6:55)
Start10- Private Members (3:40)
Start11- Properties (7:30)
Start12- Inheritance (4:23)
Start13- The Object Class (2:23)
Start14- Method Overriding (3:14)
Start15- Multi-level Inheritance (2:42)
Start16- Multiple Inheritance (3:22)
Start17- A Good Example of Inheritance (4:31)
Start18- Abstract Base Classes (4:50)
Start19- Polymorphism (3:56)
Start20- Duck Typing (2:50)
Start21- Extending Built-in Types (2:26)
Start22- Data Classes (4:36)
6- Modules (20m)
Start1- Creating Modules (4:16)
Start2- Compiled Python Files (2:19)
Start3- Module Search Path (1:35)
Start4- Packages (2:27)
Start5- Sub-packages (1:01)
Start6- Intra-package References (1:36)
Start7- The dir Function (1:39)
Start8- Executing Modules as Scripts (2:55)
7- Python Standard Library (1h)
Start1- Python Standard Library (0:51)
Start2- Working With Paths (4:48)
Start3- Working with Directories (4:14)
Start4- Working with Files (3:59)
Start5- Working with Zip Files (3:15)
Start6- Working with CSV Files (4:50)
Start7- Working with JSON Files (3:57)
Start8- Working with a SQLite Database (9:10)
Start9- Working with Timestamps (2:24)
Start10- Working with DateTimes (5:05)
Start11- Working with Time Deltas (2:41)
Start12- Generating Random Values (4:09)
Start13- Opening the Browser (1:12)
Start14- Sending Emails (6:48)
Start15- Templates (4:53)
Start16- Command-line Arguments (1:54)
Start17- Running External Programs (8:06)
8- Python Package Index (40m)
Start1- Pypi (1:49)
Start2- Pip (6:23)
Start3- Virtual Environments (4:04)
Start4- Pipenv (3:40)
Start5- Virtual Environments in VSCode (3:49)
Start6- Pipfile (4:48)
Start7- Managing Dependencies (3:28)
Start8- Publishing Packages (8:22)
Start9- Docstrings (5:48)
Start10- Pydoc (4:06)
9- Popular Python Packages (1h30m)
Start1- Introduction (1:41)
Start2- What are APIs (2:36)
Start3- Yelp API (2:51)
Start4- Searching for Businesses (9:54)
Start5- Hiding API Keys (2:05)
Start6- Sending Text Messages (6:02)
Start7- Web Scraping (9:06)
Start8- Browser Automation (11:28)
Start9- Working with PDFs (6:18)
Start10- Working with Excel Spreadsheets (9:52)
Start11- Command Query Separation Principle (4:39)
Start12- NumPy (9:05)
10- Building Web Applications with Django (115m)
Start1- Introduction (1:43)
Start2- Your First Django Project (4:11)
Start3- Your First App (3:41)
Start4- Views (7:59)
Start5- Models (4:57)
Start6- Migrations (8:00)
Start7- Changing the Models (5:38)
Start8- Admin (4:29)
Start9- Customizing the Admin (6:55)
Start10- Database Abstraction API (3:52)
Start11- Templates (10:23)
Start12- Adding Bootstrap (4:19)
Start13- Customizing the Layout (2:23)
Start14- Sharing a Template Across Multiple Apps (3:48)
Start15- Url Parameters (4:37)
Start16- Getting a Single Object (3:48)
Start17- Raising 404 Errors (3:51)
Start18- Referencing Urls (3:47)
Start19- Creating APIs (9:26)
Start20- Adding the Homepage (4:27)
Start21- Getting Ready to Deploy (9:44)
Start22- Deployment (7:59)
11- Machine Learning with Python (30m)
Start1- What is Machine Learning (1:58)
Start2- Machine Learning in Action (2:47)
Start3- Libraries and Tools (4:54)
Start4- Importing a Data Set (6:21)
Start5- Jupyter Shortcuts (5:26)
Start6- A Real Machine Learning Problem (3:17)
Start7- Preparing the Data (3:05)
Start8- Learning and Predicting (4:04)
Start9- Calculating the Accuracy (6:20)
Start10- Persisting Models (3:14)
Start11- Visualizing a Decision Tree (6:26)
StartThank you
Sale page: Mosh Hamedani – Python Programming for Developers
Mosh Hamedani|Mosh Hamedani – Python Programming for Developers|Python Programming for Developers
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