Python is the most widely used programming language today. When it comes to solving data science tasks and challenges, Python does the job. Python is an easy to learn, easy to debug widely used, object oriented, open source, high performance language and there are many more benefits to Python programming. Python has been built with extraordinary Python libraries for data science that are used by programmers every day in solving problems.
The course covers some of the basic syntax with some examples that segue into other uses that involve artificial intelligence and data science. This course provides a sample CSV file and serves as an excellent launching point into more advanced Python educational opportunities. Python unit testing is covered for students taking the software testing program. This basic Python course is a requirement for the Software Test Development Engineer course.
* Lesson 1: Overview of Basic Programming Concepts.
* Lesson 2: The Python interpreter, reserved words, Hello World and Main programs.
* Lesson 3: Python identifiers, comments, code blocks, instructions and scope.
* Lesson 4: Python arithmetic, comparison, logic, bitwise assignments and membership operators.
* Lesson 5: Python data, number, lists and tuple types.
* Lesson 6: Python strings and sets.
* Lesson 7: Python arrays, input, output, importation and files.
* Lesson 8: The Python range function, if, for, while, break, and continue statements.
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