Call Number (LC) Title Results
QA76.73.P98 M38 2023 Python crash course : a hands-on, project-based introduction to programming / 3
QA76.73.P98 M384 2019 Machine learning applications using Python : cases studies from healthcare, retail, and finance / 2
QA76.73.P98 M39 2020 Python one-liners : write concise, eloquent Python like a professional / 2
QA76.73.P98 .M395 2018 Python in easy steps / 1
QA76.73.P98 M397 2023 Dead simple Python : idiomatic Python for the impatient programmer / 2
QA76.73.P98 M53 2022 Applied deep learning with TensorFlow 2 : learn to implement advanced deep learning techniques with Python / 3
QA76.73.P98 M53 2022eb Applied deep learning with TensorFlow 2 : learn to implement advanced deep learning techniques with Python / 2
QA76.73.P98 M544 2014eb Python programming in context, second edition / 1
QA76.73.P98 M55 2013eb Python data visualization cookbook : over 60 recipes that will enable you to learn how to create attractive visualizations using Python's most popular libraries / 1
QA76.73.P98 M55 2020 Python projects for beginners : a ten-week bootcamp approach to Python programming / 1
QA76.73.P98 M56 2019 Hands-on data analysis with Pandas : efficiently perform data collection, wrangling, analysis, and visualization using Python / 1
QA76.73.P98 .M57 2021eb Practical explainable AI using Python : artificial intelligence model explanations using Python-based libraries, extensions, and frameworks / 4
QA76.73.P98 M63 2017 Module 4 : writing functions.
Module 1 : assigning variables.
Module 2 : lists.
Module 1 : equality and comparison.
Module 1 : why use Python.
Module 2 : string formatting.
Module 3 : loops.
Module 4 : writing scripts in Python.
Module 3 : if, else and elif.
Module 3 : and/or.
Module 4 : objects and classes.
Module 2 : tuples.
Module 3 : dealing with files.
Module 1 : working in the shell and using an editor.
Module 2 : dictionaries. 		15
QA76.73.P98 M63 2018 Module 1 : installing Python on Windows.
Module 2 : pandas series.
Module 2 : matplotlib dataframes.
Module 1 : reading from the web and files.
Module 3 : introduction to JSON.
Module 2 : pandas dataframes.
Module 2 : matplotlib series.
Module 3 : introduction to XML.
Module 3 : authentication.
Module 1 : functions and scripts.
Module 1 : installing Python on Mac. 		11
QA76.73.P98 .M645 2018eb Python Penetration Testing Essentials : Techniques for ethical hacking with Python, 2nd Edition. 1
QA76.73.P98 M65 2021 Hands-on data analysis with pandas : a Python data science handbook for data collection, wrangling, analysis, and visualization / 1
QA76.73.P98 M66 2013eb Programming the Raspberry Pi : getting started with Python / 1
QA76.73.P98 M66 2016eb Programming the Raspberry Pi : getting started with Python / 2
QA76.73.P98 M66 2021 Programming the Raspberry PI : getting started with Python. 1
QA76.73.P98 M839 2018 Beginning programming with Python® for dummies® / 2