What is Python Programming?
Basics of Python programming is an interpreted, object-oriented, high-level programming language with dynamic difinition. Its high-level built in data structures, combined with dynamic typing and dynamic binding. This makes it very attractive for Rapid Application Development. As well as for use as a scripting or glue language to connect existing components together. Python’s simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge.
Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn’t catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of:
- local and global variables
- evaluation of arbitrary expressions
- setting breakpoints
- stepping through the code a line at a time, and so on.
The debugger is written in Python itself, testifying to Python’s introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.
Basics of Python Programming
- Prepare for the 98-381 and PCAP-31-02 certification exams with the Basics of Python Programming for 98-381 and PCAP-31-02 course and lab. The lab provides a hands-on learning experience in a safe, online environment. The course and lab completely cover the objectives of both the 98-381 and PCAP-31-02 exam objectives and include topics such as Python basics, Data structure, Python modules, errors and exceptions, object oriented programming, Input and Output, Python functions, control flow tools in Python, and more.