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Presentation on theme: "Python Crash Course Numpy"— Presentation transcript: 1 Python Crash Course Numpy 2 Extra features required:Scientific Python? Extra features required: fast, multidimensional arrays libraries of reliable, tested scientific functions plotting tools NumPy is at the core of nearly every scientific Python application or module since it provides a fast N-d array datatype that can be manipulated in a vectorized form. 2 3 What is NumPy? NumPy is the fundamental package needed for scientific computing with Python. It contains: a powerful N-dimensional array object basic linear algebra functions basic Fourier transforms sophisticated random number capabilities tools for integrating Fortran code tools for integrating C/C++ code 4 Official documentation The NumPy book Example listNumPy documentation Official documentation The NumPy book Example list 5 Arrays – Numerical Python (Numpy)Lists ok for storing small amounts of one-dimensional data >>> a = [1,3,5,7,9] >>> print(a[2:4]) [5, 7] >>> b = [[1, 3, 5, 7, 9], [2, 4, 6, 8, 10]] >>> print(b[0]) [1, 3, 5, 7, 9] >>> print(b[1][2:4]) [6, 8] >>> a = [1,3,5,7,9] >>> b = [3,5,6,7,9] >>> c = a + b >>> print c [1, 3, 5, 7, 9, 3, 5, 6, 7, 9] But, can’t use directly with arithmetical operators (+, -, *, /, …) Need efficient arrays with arithmetic and better multidimensional tools Numpy Similar to lists, but much more capable, except fixed size >>> import numpy 6 Numpy – N-dimensional Array manpulationsThe fundamental library needed for scientific computing with Python is called NumPy. This Open Source library contains: a powerful N-dimensional array object advanced array slicing methods (to select array elements) convenient array reshaping methods and it even contains 3 libraries with numerical routines: basic linear algebra functions basic Fourier transforms sophisticated random number capabilities NumPy can be extended with C-code for functions where performance is Skip to content Navigation Menu GitHub Copilot Write better code with AI Security Find and fix vulnerabilities Actions Automate any workflow Codespaces Instant dev environments Issues Plan and track work Code Review Manage code changes Discussions Collaborate outside of code Code Search Find more, search less Explore Learning Pathways Events & Webinars Ebooks & Whitepapers Customer Stories Partners Executive Insights GitHub Sponsors Fund open source developers The ReadME Project GitHub community articles Enterprise platform AI-powered developer platform Pricing Provide feedback Saved searches Use saved searches to filter your results more quickly ;ref_cta:Sign up;ref_loc:header logged out"}"> Sign up Overview Repositories Projects Packages People Popular repositories Loading Learn to create a desktop app with Python and Qt Python 2.5k 585 Unofficial PyQt5 via PyPI for Python 2.7 64-bit on Windows QML 289 80 PyQt4 for Autodesk Maya 2016 Python 10 6 PyQt5 for Python 2.7 on Mavericks Python 5 5 PyQt4 for Autodesk Maya 2014 Python 3 2 PyQt4 for Autodesk Maya 2015 Python 3 1 Repositories --> Type Select type All Public Sources Forks Archived Mirrors Templates Language Select language All Python QML Sort Select order Last updated Name Stars Showing 9 of 9 repositories examples Public Learn to create a desktop app with Python and Qt pyqt/examples’s past year of commit activity python-qt5 Public Unofficial PyQt5 via PyPI for Python 2.7 64-bit on Windows pyqt/python-qt5’s past year of commit activity pyqt/maya2016-qt4’s past year of commit activity Python 10 6 0 0 Updated Apr 27, 2015 pyqt/python-qt5-mavericks’s past year of commit activity Python 5 5 0 0 Updated Apr 13, 2015 pyqt/maya2012-qt4’s past year of commit activity Python 1 GPL-3.0 1 0 0 Updated Apr 8, 2015 pyqt/maya2015-qt4’s past year of commit activity Python 3 GPL-3.0 1 0 0 Updated Apr 8, 2015 pyqt/pyqtdeploy’s past year of commit activity 2 BSD-3-Clause 1 0 0 Updated Nov 13, 2014 pyqt/maya2014-qt4’s past year of commit activity Python 3 GPL-3.0 2 1 0 Updated Oct 3, 2014 pyqt/maya2013-qt4’s past year of commit activity Python 2 GPL-3.0 1 0 0 Updated Oct 3, 2014 Most used topics Loading…

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Skip to content Navigation Menu GitHub Copilot Write better code with AI Security Find and fix vulnerabilities Actions Automate any workflow Codespaces Instant dev environments Issues Plan and track work Code Review Manage code changes Discussions Collaborate outside of code Code Search Find more, search less Explore Learning Pathways Events & Webinars Ebooks & Whitepapers Customer Stories Partners Executive Insights GitHub Sponsors Fund open source developers The ReadME Project GitHub community articles Enterprise platform AI-powered developer platform Pricing Provide feedback Saved searches Use saved searches to filter your results more quickly ;ref_cta:Sign up;ref_loc:header logged out"}"> Sign up Tools by Mend Professional Services (formerly WhiteSource) Overview Repositories Projects Packages People Popular repositories Loading WS SBOM Report Generator in SPDX or CycloneDX format Python 31 7 WS Python SDK Python 17 5 Mend Bulk Report Generator Python 17 4 WhiteSource Nexus integration tool Python 15 8 Mend Projects Cleanup tool 12 1 WhiteSource GitLab Integration Python 11 2 Repositories --> Type Select type All Public Sources Forks Archived Mirrors Templates Language Select language All Dockerfile Java Python Sort Select order Last updated Name Stars Showing 10 of 17 repositories whitesource-ps/ws-nexus-integration’s past year of commit activity Python 15 Apache-2.0 8 5 5 Updated Mar 10, 2025 whitesource-ps/ws-bulk-report-generator’s past year of commit activity Python 17 Apache-2.0 4 6 3 Updated Mar 10, 2025 whitesource-ps/ws-sdk’s past year of commit activity Python 17 Apache-2.0 5 10 5 Updated Dec 23, 2024 ws-copy-policy Public archive Copy policy by tag in project/product scope whitesource-ps/ws-copy-policy’s past year of commit activity Python 5 Apache-2.0 1 3 1 Updated Dec 21, 2023 whitesource-ps/ws-policy-report’s past year of commit activity Python 6 Apache-2.0 1 2 1 Updated Dec 20, 2023 ws-ums Public archive WS User Management Service for large scale environments whitesource-ps/ws-ums’s past year of commit activity Python 9 Apache-2.0 0 5 1 Updated Dec 20, 2023 whitesource-ps/ws-slack-integration’s past year of commit activity Java 3 Apache-2.0 0 2 1 Updated Dec 20, 2023 whitesource-ps/ws-gitlab-integration’s past year of commit activity Python 11 Apache-2.0 2 5 1 Updated Dec 20, 2023 ws-top10-rejected-libs Public archive Get a list of the top-10 rejected libraries in your WhiteSource inventory whitesource-ps/ws-top10-rejected-libs’s past year of commit activity Python 10 Apache-2.0 0 4 1 Updated Dec 20, 2023 whitesource-ps/ws-ignore-alerts’s past year of commit activity Python 9 Apache-2.0 2 4 1 Updated Dec 13, 2023 People This organization has no public members. 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Copy an Object in PythonIn Python, we use = operator to create a copy of an object. You may think that this creates a new object; it doesn't. It only creates a new variable that shares the reference of the original object.Let's take an example where we create a list named old_list and pass an object reference to new_list using = operator.Example 1: Copy using = operatorold_list = [[1, 2, 3], [4, 5, 6], [7, 8, 'a']]new_list = old_listnew_list[2][2] = 9print('Old List:', old_list)print('ID of Old List:', id(old_list))print('New List:', new_list)print('ID of New List:', id(new_list))When we run above program, the output will be:Old List: [[1, 2, 3], [4, 5, 6], [7, 8, 9]]ID of Old List: 140673303268168New List: [[1, 2, 3], [4, 5, 6], [7, 8, 9]]ID of New List: 140673303268168As you can see from the output both variables old_list and new_list shares the same id i.e 140673303268168.So, if you want to modify any values in new_list or old_list, the change is visible in both.Essentially, sometimes you may want to have the original values unchanged and only modify the new values or vice versa. In Python, there are two ways to create copies: Shallow Copy Deep CopyTo make these copy work, we use the copy module.Copy ModuleWe use the copy module of Python for shallow and deep copy operations. Suppose, you need to copy the compound list say x. For example:import copycopy.copy(x)copy.deepcopy(x)Here, the copy() return a shallow copy of x. Similarly, deepcopy() return a deep copy of x.Shallow CopyA shallow copy creates a new object which stores the reference of the original elements.So, a shallow copy doesn't create a copy of nested objects, instead it just copies the reference of nested objects. This means, a copy process does not recurse or create copies of nested objects itself.Example 2: Create a copy using shallow copyimport copyold_list = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]new_list = copy.copy(old_list)print("Old list:", old_list)print("New list:", new_list)When we run the program , the output will be:Old list: [[1, 2, 3], [4, 5, 6], [7, 8, 9]]New list: [[1, 2, 3], [4, 5, 6], [7, 8, 9]]In above program,

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