Specializing in magnetism, relativity, and quantum mechanics at American International University- Bangladesh. Unlock physics secrets with me!

During a Python lesson, a student from Grand Prairie High School practiced creating and manipulating lists, including joining them and printing their contents. The student also applied Python to solve a word problem involving basic arithmetic calculations. For continued practice, the instructor assigned the student tasks covering the week's concepts.

Faria Jaheen and Evan Carr collaborated on a data analysis project, specifically using Python to reduce the file sizes of city bike datasets, ensuring they met GitHub's requirements. Their work involved filtering data by date ranges and resolving authentication issues. Evan is now tasked with creating a video presentation that will include visualizations and insights, and they've scheduled a meeting for Wednesday to continue their progress.

Faria continued her GED geometry lessons with Max, focusing on a range of topics including area calculations for various shapes like triangles, quadrilaterals, and polygons. They also covered coordinate geometry, complementary and supplementary angles, circumference, and 3D geometry. Max actively engaged with practice problems, with Faria clarifying formulas and concepts as they progressed. This lesson naturally followed up on earlier geometry work, which had touched upon circles and triangles. Their plan is to further review properties of triangles in upcoming lessons.

Faria and Evan collaborated on a data science debugging lesson, tackling issues in versions 2.6 and 2.7 of their projects. They addressed problems with file paths, missing files, and Streamlit app deployment. Evan's graphics card issues came up, and Faria offered assistance with screenshots. They set their next lesson for Saturday to resolve remaining items and finalize the projects for submission.

Faria mentored an individual residing in Los Angeles on debugging data integration and preparing for Streamlit Cloud deployment for a data analysis project. They addressed temperature data issues in section 2.6 and worked through data configuration and file adjustments in section 2.7. The individual was assigned to run the provided code, push changes to GitHub, and create a Streamlit Cloud account before their next lesson on Thursday.

Faria guided Evan through his Python project, addressing professor feedback on filtering, descriptions, and code presentation. They debugged the Python code in Jupyter Notebook, focusing on RAM issues and file paths, and discussed integrating interactive charts with Streamlit. Faria assigned pushing code to GitHub as homework and will provide book recommendations for Python theory; their next lesson is scheduled for Tuesday.