Call Number (LC) | Title | Results |
---|---|---|
QA76.73.P98 .H55 2020 | Practices of the Python Pro / | 2 |
QA76.73.P98 H55 2021 |
Learn to create a diverging bar chart using Python with data from Eurostat (2010) / Learn to create a polar chart in Python with data from NCHS (2018) / |
2 |
QA76.73.P98 H55 2022 | Financial theory with Python : a gentle introduction / | 1 |
QA76.73.P98 H55 2023 | Publishing Python Packages : Test, Share, and Automate Your Projects. | 1 |
QA76.73.P98 .H555 2018eb | Hands-On MQTT Programming with Python : Work with the lightweight IoT protocol in Python. | 1 |
QA76.73.P98 H844 2010 | Real world instrumentation with Python / | 1 |
QA76.73.P98 I37 2014 | Python data analysis : learn how to apply powerful data analysis techniques with popular open source Python modules / | 1 |
QA76.73.P98 .I375 2014eb | Learning NumPy Array : supercharge your scientific Python computations by understanding how to use the NumPy library effectively / | 1 |
QA76.73.P98 I58 2018 | Introduction to Python. | 1 |
QA76.73.P98 .J335 2018eb | Secret Recipes of the Python Ninja : Over 70 recipes that uncover powerful programming tactics in Python. | 1 |
QA76.73.P98 J43 2021 | Ontologies with Python : programming OWL 2. 0 ontologies with Python and Owlready2 / | 3 |
QA76.73.P98 J64 2012 | A concise introduction to programming in Python / | 1 |
QA76.73.P98 J64 2019 |
Applied supervised learning with Python : use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning / Numerical Python : scientific computing and data science applications with Numpy, SciPy and Matplotlib / |
5 |
QA76.73.P98 .J655 2018 | Machine Learning with Scikit-Learn Quick Start Guide : Classification, Regression, and Clustering Techniques in Python. | 1 |
QA76.73.P98 J655 2018eb | Hands-On Data Visualization with Bokeh : Interactive Web Plotting for Python Using Bokeh. | 1 |
QA76.73.P98 J66 2002 | Python and XML / | 1 |
QA76.73.P98 .J674 2018eb | Learning Robotics Using Python : Design, Simulate, Program, and Prototype an Autonomous Mobile Robot Using ROS, OpenCV, PCL, and Python, 2nd Edition. | 2 |
QA76.73.P98 .K35 2021 | Learn Quantum Computing with Python and Q# / | 1 |
QA76.73.P98 .K36 2020 | Let Us Python Solutions / | 1 |
QA76.73.P98 K37 2019 | Clean Python : elegant coding in Python / | 3 |