INE – Software Development with Python 2023-7

INE – Software Development with Python 2023-7 Downloadly IRSpace

Aug 16, 2025 - 07:24 Updated: Aug 17, 2025 - 20:02

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INE – Software Development with Python 2023-7

Software Development with Python Course. This comprehensive course provides a concise and in-depth overview of the tools and techniques used in Python software development and debugging. The main focus is on the tools available in the Python standard library. Throughout the course, participants will be introduced to key modules such as pdbfor interactive debugging, timeitfor measuring code execution time, for tracetracing program execution parser, for error handling, and for inspecting live objects. With a practical approach, this course helps participants acquire the skills necessary to write more efficient and reliable Python code.codetracebackinspect

What you will learn

Introduction: Participants will be introduced to the basic concepts of Python software development and the importance of debugging.
Debugging: Advanced Python debugging tools pdbare taught in depth, including using to identify and fix code problems.
Runtime Measurement (Timeit): Learn how to use the module timeitto measure code performance and get tips for improving program execution speed.
Trace and Profile: Techniques for tracing and profiling program execution to identify performance bottlenecks and optimize code are taught.
codeWorking with the Code module: Explores how to use the module to create custom command lines and interact with the Python interpreter.
Error Management (Traceback): Participants will learn how to tracebackuse the module to better understand and manage application errors and create custom error logging tools.
Inspect Objects: Learn how to use the module inspectto inspect Python objects, modules, and functions to gain a deeper understanding of code structure.

This course is suitable for people who:

Python developers looking to improve their debugging and code optimization skills.
Engineers who want to learn standard Python tools for performance analysis and application tracing.
Students and Python enthusiasts who want to advance their knowledge in more professional software development.
Anyone who wants to learn about the powerful modules of the Python standard library for more effective development and debugging.