Data Validation: Learn to write simple data validation routines to prevent unexpected program behavior caused by invalid user input.
Test Data Selection: Master the art of selecting suitable test data, covering normal, boundary (extreme), and erroneous scenarios, to thoroughly test your code.
Justification for Test Data: Develop the ability to justify your choice of test data, ensuring comprehensive testing and a clear understanding of potential code vulnerabilities.
Module 2: Understanding Programming Languages
Levels of Programming Languages: Grasp the distinction between low-level and high-level programming languages, understanding their strengths and limitations.
Program Translators: Explore the role of program translators, including interpreters, compilers, and assemblers, in the execution of code.
Module 3: Python’s Secure Coding Practices
Authentication Routines: Learn to write simple authentication routines to control access to sensitive data and functionalities within your Python applications.
Benefits of Learning Robust and Secure Programming:
Enhanced Program Reliability: Minimize errors and unexpected behavior by implementing robust coding techniques.
Improved Security: Protect your applications from vulnerabilities by writing secure authentication routines and data validation checks.
Increased Confidence: Develop the skills to write well-tested and reliable Python code, boosting your confidence as a programmer.