Course Title 1: Python: Web Application Development
Course Description: Frameworks provide a way to create powerful web applications in Python. In this course, you will learn about the Django and TurboGears frameworks for developing web applications.
Course Title 9: Python: Data Science Fundamentals
Course Description: Python is a high-level programming language that has code readability and simplicity as its primary design goals. Coupled with a few key APIs, it also becomes a very powerful data analysis tool. This course will cover basic data science fundamentals and apply them to Python.
Course Title 8: Python: Classes and Modules
Course Description: Python is a lot more than a scripting language, and can be used to create OOP applications using classes, or using a functional paradigm. This course covers some of the ways Python programs can execute. You'll learn about building your own custom functions and classes, and documentation and file handling.
Course Title 7: Python: Iteration and Exceptions
Course Description: Iterations and exceptions are nuanced in Python, and so it is important to fully understand how they work in order to produce quality software. In this course, you will learn about comprehensions, a powerful, concise syntax for creating iterable objects. The course also covers iteration and iterables, and exception handling.
Course Title 6: Python: web2py and Test-driven Development
Course Description: The web2py framework lets you build scalable, secure, and portable web applications. Testing provides a way to mitigate bugs and errors before the release of Python applications. In this course, you will learn about the web2py framework and the testing frameworks included in Python and their use.
Course Title 5: FSD Development with Python: API Development in Flask
Course Description: Learners discover how to implement a working API (application programming interface) using Python and the Flask framework in this 13-video course. Explore RESTful APIs, practical applications for APIs, and API framework choices for full stack development. Learn more about API scaffolding, HTTP data processing, working with JSON payloads, handling unexpected errors, and testing APIs with Pytest. Begin by learning about benefits of using Python APIs for FSD (full stack development) and examine principles and methods behind...
Course Title 4: Python Development: Defining, Configuring, & Invoking Functions
Course Description: In Python, functions are essentially first-class citizens. They are objects in Python, just like other primitive and complex data types, and have a valuable purpose. In this course, you'll learn how to define and invoke functions in Python. First, you'll define a function using the def keyword and specify input arguments and return values from functions. You'll then work with positional arguments and keyword arguments. Next, you'll define functions with default values for arguments and a variable number of arguments. Along the way...
Course Description: Python classes act like blueprints for establishing a new type of object with its own set of properties and methods. In this course, you'll learn how to define and instantiate classes in Python.
You'll start by using the init() method to initialize your class's member variables and the self keyword to reference a class's current instance. You'll then illustrate the differences between the self keyword in Python and the "this" keyword in Java.
Next, you'll examine how errors in Python can be handled using the try...
Course Title 2: Operations with petl: Advanced Extractions & Transformations
Course Description: Petl facilitates and streamlines tasks related to data extraction and manipulation, often required by software developers to make data fit for actionable business intelligence (BI). In this course, you'll work with complex operations in petl and outline how to extract data from a source and convert it to a format that complies with your requirements. You'll begin by investigating the use of regular expressions to analyze, search, and extract specific rows and columns in a petl table. You'll then create transform functions and...
Course Title 1: Python: Web Application Development
Course Description: Frameworks provide a way to create powerful web applications in Python. In this course, you will learn about the Django and TurboGears frameworks for developing web applications.
Course Title 9: Python: Data Science Fundamentals
Course Description: Python is a high-level programming language that has code readability and simplicity as its primary design goals. Coupled with a few key APIs, it also becomes a very powerful data analysis tool. This course will cover basic data science fundamentals and apply them to Python.
Course Title 8: Python: Classes and Modules
Course Description: Python is a lot more than a scripting language, and can be used to create OOP applications using classes, or using a functional paradigm. This course covers some of the ways Python programs can execute. You'll learn about building your own custom functions and classes, and documentation and file handling.
Course Title 7: Python: Iteration and Exceptions
Course Description: Iterations and exceptions are nuanced in Python, and so it is important to fully understand how they work in order to produce quality software. In this course, you will learn about comprehensions, a powerful, concise syntax for creating iterable objects. The course also covers iteration and iterables, and exception handling.
Course Title 6: Python: web2py and Test-driven Development
Course Description: The web2py framework lets you build scalable, secure, and portable web applications. Testing provides a way to mitigate bugs and errors before the release of Python applications. In this course, you will learn about the web2py framework and the testing frameworks included in Python and their use.
Course Title 5: FSD Development with Python: API Development in Flask
Course Description: Learners discover how to implement a working API (application programming interface) using Python and the Flask framework in this 13-video course. Explore RESTful APIs, practical applications for APIs, and API framework choices for full stack development. Learn more about API scaffolding, HTTP data processing, working with JSON payloads, handling unexpected errors, and testing APIs with Pytest. Begin by learning about benefits of using Python APIs for FSD (full stack development) and examine principles and methods behind...
Course Title 4: Python Development: Defining, Configuring, & Invoking Functions
Course Description: In Python, functions are essentially first-class citizens. They are objects in Python, just like other primitive and complex data types, and have a valuable purpose. In this course, you'll learn how to define and invoke functions in Python. First, you'll define a function using the def keyword and specify input arguments and return values from functions. You'll then work with positional arguments and keyword arguments. Next, you'll define functions with default values for arguments and a variable number of arguments. Along the way...
Course Description: Python classes act like blueprints for establishing a new type of object with its own set of properties and methods. In this course, you'll learn how to define and instantiate classes in Python.
You'll start by using the init() method to initialize your class's member variables and the self keyword to reference a class's current instance. You'll then illustrate the differences between the self keyword in Python and the "this" keyword in Java.
Next, you'll examine how errors in Python can be handled using the try...
Course Title 2: Operations with petl: Advanced Extractions & Transformations
Course Description: Petl facilitates and streamlines tasks related to data extraction and manipulation, often required by software developers to make data fit for actionable business intelligence (BI). In this course, you'll work with complex operations in petl and outline how to extract data from a source and convert it to a format that complies with your requirements. You'll begin by investigating the use of regular expressions to analyze, search, and extract specific rows and columns in a petl table. You'll then create transform functions and...
Course Title 1: Python: Web Application Development
Course Description: Frameworks provide a way to create powerful web applications in Python. In this course, you will learn about the Django and TurboGears frameworks for developing web applications.
Course Title 9: Python: Data Science Fundamentals
Course Description: Python is a high-level programming language that has code readability and simplicity as its primary design goals. Coupled with a few key APIs, it also becomes a very powerful data analysis tool. This course will cover basic data science fundamentals and apply them to Python.
Course Title 8: Python: Classes and Modules
Course Description: Python is a lot more than a scripting language, and can be used to create OOP applications using classes, or using a functional paradigm. This course covers some of the ways Python programs can execute. You'll learn about building your own custom functions and classes, and documentation and file handling.
Course Title 7: Python: Iteration and Exceptions
Course Description: Iterations and exceptions are nuanced in Python, and so it is important to fully understand how they work in order to produce quality software. In this course, you will learn about comprehensions, a powerful, concise syntax for creating iterable objects. The course also covers iteration and iterables, and exception handling.
Course Title 6: Python: web2py and Test-driven Development
Course Description: The web2py framework lets you build scalable, secure, and portable web applications. Testing provides a way to mitigate bugs and errors before the release of Python applications. In this course, you will learn about the web2py framework and the testing frameworks included in Python and their use.
Course Title 5: FSD Development with Python: API Development in Flask
Course Description: Learners discover how to implement a working API (application programming interface) using Python and the Flask framework in this 13-video course. Explore RESTful APIs, practical applications for APIs, and API framework choices for full stack development. Learn more about API scaffolding, HTTP data processing, working with JSON payloads, handling unexpected errors, and testing APIs with Pytest. Begin by learning about benefits of using Python APIs for FSD (full stack development) and examine principles and methods behind...
Course Title 4: Python Development: Defining, Configuring, & Invoking Functions
Course Description: In Python, functions are essentially first-class citizens. They are objects in Python, just like other primitive and complex data types, and have a valuable purpose. In this course, you'll learn how to define and invoke functions in Python. First, you'll define a function using the def keyword and specify input arguments and return values from functions. You'll then work with positional arguments and keyword arguments. Next, you'll define functions with default values for arguments and a variable number of arguments. Along the way...
Course Description: Python classes act like blueprints for establishing a new type of object with its own set of properties and methods. In this course, you'll learn how to define and instantiate classes in Python.
You'll start by using the init() method to initialize your class's member variables and the self keyword to reference a class's current instance. You'll then illustrate the differences between the self keyword in Python and the "this" keyword in Java.
Next, you'll examine how errors in Python can be handled using the try...
Course Title 2: Operations with petl: Advanced Extractions & Transformations
Course Description: Petl facilitates and streamlines tasks related to data extraction and manipulation, often required by software developers to make data fit for actionable business intelligence (BI). In this course, you'll work with complex operations in petl and outline how to extract data from a source and convert it to a format that complies with your requirements. You'll begin by investigating the use of regular expressions to analyze, search, and extract specific rows and columns in a petl table. You'll then create transform functions and...
