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. Candidate should have extensive knowledge of programming in Python, especially data management tasks and related libraries and/or should have taught the same course (teaching data management using Python
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. Candidate should have extensive knowledge of programming in Python, especially data management tasks and related libraries and/or should have taught the same course (teaching data management using Python
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Downtown Campus TEACHING QUALIFICATION REQUIREMENTS : Experience Experience in the following area: Python programming; Algorithms; Software design; Applications of computer science in life science Previous
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: Online course planning, course material preparation Qualifications: - Must be a McGill student - Must be highly skilled in Python and R (to convert assignments from R to Python). - Must understand basic
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using Python. Python and IBM Watson Analytics are modeling and visualization software used in this course. Practical aspects of computational models and case studies in Interactive Python are emphasized
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and efficiency in data collection. Strong troubleshooting skills for laboratory equipment and experimental setups. Proficiency in Python for data visualization (e.g., pandas, matplotlib, seaborn, etc
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): Analytics Environment Setup and Handling Python Environment Setup Proficiency with virtual environments: venv, or conda Package management: pip, and conda, IDE Familiarity Jupyter Notebooks (incl. JupyterLab
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LOCATION Downtown Campus TEACHING QUALIFICATION REQUIREMENTS : Experience: Experience in the following area: Python programming; Algorithms; Software design; Applications
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LOCATION Downtown Campus TEACHING QUALIFICATION REQUIREMENTS : Experience Experience in the following area: Python programming; Algorithms; Software design; Applications
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Compile, organize, and manage large multi-faceted datasets and metadata Conduct statistical analyses, including development of new code and adapting existing code in R and/or python Contribute