Though Python® has been in use for more than 30 years, it has become one of the most popular languages for software development, particularly within the fields of data science, machine learning, artificial intelligence, and web development—all areas in which Python is widely used. Whether you’re relatively new to programming, or have experience in other programming languages, this course will provide you with a comprehensive first exposure to the Python programming language.
You will also learn elements of the Python 3 language and development strategies by creating a complete program that performs a wide range of operations on a variety of data types, structures, and objects; implements program logic through conditional statements and loops; structures code for reusability through functions, classes, and modules; reads and writes files; and handles error conditions.
Overview:
Python® continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. It’s proven to be a useful language for developing custom software tools, desktop programs, web services, and cloud applications.
Also in this course, you will learn advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web-based apps, performing data science tasks, unit testing, and creating and installing packages and executable applications.
Course Objectives:
In this 5-day course, you will develop simple command-line programs in Python. You will:
- Set up Python and develop a simple application.
- Perform operations on simple data types, including strings and numbers.
- Perform operations on data structures, including lists, ranges, tuples, dictionaries, and sets.
- Write conditional statements and loops.
- Define and use functions, classes, and modules.
- Manage files and directories through code.
- Perform basic exception handling.
- Design applications around the object-oriented programming paradigm.
- Create object-oriented applications.
- Create desktop applications.
- Create data-driven applications.
- Create and secure web-based applications.
- Program Python for data science.
- Implement exception handling and unit testing.
- Package applications for distribution.