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February 2025

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importing modules from a src directory to test in a module in a testing directory
by Alex Kleider Feb. 5, 2025

Feb. 5, 2025

How to import a module from a src directory for testing in a test program found in a sister test directory? Using Debian Linux... Here's my project's directory structure: TopLevel ├── __init__.py ├── src │ ├── __init__.py │ └── myprogram.py └── tests ├── __init__.py └── test_myprogram.py ... and content of relevant files: $ cat src/myprogram.py #!/usr/bin/env python3 # File: utils/myprogram.py def print_greeting(): greeting = "Helo world" print(greeting) return greeting if __name__ == "__main__": print_greeting() $ cat tests/test_myprogram.py #!/usr/bin/env python3 # File: tests/test_myprogram.py from .. src import myprogram ... then attempting to run the test: $ ./tests/test_myprogram.py Traceback (most recent call last): File "/home/alex/Projects/TopLevel/./tests/test_myprogram.py", line 5, in <module> from ..src import myprogram ImportError: attempted relative import with no known parent package Any help as to how this can be fixed would be most welcome! Cheers, Alex Kleider Alex Kleider (he/him) ...sent from my current gismo!

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online course - INTRODUCTION TO PYTHON PROGRAMMING FOR BIOLOGISTS - 24-27 February
by info＠physalia-courses.org Feb. 1, 2025

Feb. 1, 2025

Dear all, there are the last seats available for our online course - INTRODUCTION TO PYTHON PROGRAMMING FOR BIOLOGISTS Dates: 24–27 February Course Website: [ https://www.physalia-courses.org/courses-workshops/python24/ ]( https://www.physalia-courses.org/courses-workshops/python24/ ) This four-day course is tailored for biologists and life scientists at all levels with little or no prior programming experience. Participants will gain a strong foundation in Python programming and its applications in biological data analysis, with a focus on hands-on exercises and real-world projects. By the end of the course, you will be able to: Write and run Python code for biological data analysis and visualization. Use bioinformatics libraries like BioPython. Perform statistical analysis with Python. Create organized and reusable code. Develop a simple project tailored to your research field. Program Highlights: Day 1: Python basics, data types, and DNA sequence manipulation. Day 2: Dictionaries, loops, and field data analysis. Day 3: I/O handling, BioPython, and ChIP-seq data processing. Day 4: Statistics, visualization, and advanced projects in viral genomics. Best regards, Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR info(a)physalia-courses.org mobile: +49 17645230846

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