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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

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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,. Python Sept. 6, 2025 Download Release Notes; Python 3.10.7 Sept. 6, 2025 Download Release Notes; Python 3.10.6 Aug. 2, 2025 Download Release Notes; Python 3.10.5 J Download Release Notes; Python Download Release Notes; Python 3.10.4 Ma Download Release Notes; Python Ma Introduction. OS Centos 6 is the default Python version 2. How to Install Python 3.6 on Centos 6. Python is a powerful and flexible programming language widely used in various fields such as web development, data science, artificial intelligence, and DevOps.

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Do not collect 200 kronaCheck yourself but in a Win10 VM I get this from opening the python console. Not many built-in python plugins but spyrogimp is one, foggify is another. They throw up an error as well.As far as I can tell Portableapps Gimp 2.10.18 is the same. Worked for you, not for me, so nothing is certain.Attachment: python.jpg [ 126.22 KiB | Viewed 5419 times ] One thing for you code writers, Those Gimp python plugins are now using a shebang #!/usr/bin/env python2 presumably to differentiate between python 2 and 3 Top Erisian Post subject: Re: After upgrading Gimp, PY plugins don't showPosted: Sun Sep 06, 2020 6:30 am (#4) Joined: Mar 23, 2012Posts: 7380Location: Göteborg at last! I don't have Python fu in filters.How do I run the Python console? Top MareroQ Post subject: Re: After upgrading Gimp, PY plugins don't showPosted: Sun Sep 06, 2020 6:44 am (#5) Joined: Jan 13, 2011Posts: 2385Location: Poland Because Python-Fu doesn't work, You won't run it from the Gimp menu - do point 3 (click python.exe). _________________ SlavaUkraini! Top Erisian Post subject: Re: After upgrading Gimp, PY plugins don't showPosted: Sun Sep 06, 2020 6:52 am (#6) Joined: Mar 23, 2012Posts: 7380Location: Göteborg at last! MareroQ wrote:Because Python-Fu doesn't work, You won't run it from the Gimp menu - do point 3 (click python.exe). Top MareroQ Post subject: Re: After upgrading Gimp, PY plugins don't showPosted: Sun Sep 06, 2020 6:57 am (#7) Joined: Jan 13, 2011Posts: 2385Location: Poland Halfway through, python works, but Python-Fu needs to be fixed now.Perform step 4. _________________ SlavaUkraini! Top Erisian Post subject: Re: After upgrading Gimp, PY plugins don't showPosted: Sun Sep 06, 2020 7:02 am (#8) Joined: Mar 23, 2012Posts: 7380Location: Göteborg at last! MareroQ wrote:Halfway through, python works, but Python-Fu needs to be fixed now.Perform step 4. Top MareroQ Post subject: Re: After upgrading Gimp, PY plugins don't showPosted: Sun Sep 06, 2020 7:25 am (#9) Joined: Jan 13, 2011Posts: 2385Location: Poland Replace the old content (pygimp.interp) with this:python=C:\Users\Brian\Documents\Portable Software\GIMPPortable\App\gimp\bin\pythonw.exepython2=C:\Users\Brian\Documents\Portable Software\GIMPPortable\App\gimp\bin\pythonw.exe/usr/bin/python=C:\Users\Brian\Documents\Portable Software\GIMPPortable\App\gimp\bin\pythonw.exe:Python:E::py::python:and try restarting Gimp.If it doesn't work, read pygimp.interp it again

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Stars in each row print("*", end="") # End of line after each row print() # decrease spaces spaces = spaces - 1n = int(input("Enter number of rows:"))star_pattern3(n)Python Show Star Triangle 4# Python Program to print star Triangle pattern 4''' * * * * * * * * * * * * * * * '''# define a function to print star shapedef star_pattern4(n): # Use outer for loop for rows spaces = n for i in range(1, n + 1): # Use inner for loop 1 for spaces before stars for j in range(1, spaces + 1): # print spaces print(" ", end="") # Use inner for loop 2 for columns / stars for k in range(1, i + 1): # print stars in each row print("* ", end="") # End of line after each row print() # decrease spaces spaces = spaces - 1n = int(input("Enter number of rows:"))star_pattern4(n)Python Program Solution-2# Python program to print the# following stars pattern'''Enter number of rows:8 * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *'''# define a user defined function to# print star patterndef star_patterns(n): space = 2 * n - 2 for i in range(0, n): for j in range(0, space): print(" ",end="") space = space - 1 for j in range(0, i + 1): print("*", end=" ") print()# Input number of star rowsn = int(input("Enter number of Rows in Star Pattern:"))# call the function to print the star patternstar_patterns(n)Hollow Square of Stars Pattern 5 in Python# Python Program to Print Hollow Square 5 Star Pattern'''Please Enter any Side of a Square : 5Hollow Square Star Pattern* * * * * * * * * * * * * * * * '''side = int(input("Please Enter any Side of a Square : "))print("Hollow Square Star Pattern")for i in range(side): for j in range(side): if(i == 0 or i == side-1 or j == 0 or j == side-1): print('*', end = ' ') else: print(' ', end = ' ') print()Filled Stars Square Pattern Python Program 6# Python Program to Print Filled Square Star Pattern 6'''Please Enter any Side of a Square : 5Filled Square Star Pattern* * * * * * * * * * * * * * * * * * *

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Airbyte Public Forked from airbytehq/airbyte Data integration platform for ELT pipelines from APIs, databases & files to warehouses & lakes. sendinblue/airbyte’s past year of commit activity Python 0 4,463 0 0 Updated Mar 24, 2025 sendinblue/bigtable-access-layer’s past year of commit activity Go 6 MIT 1 1 1 Updated Jan 16, 2025 sendinblue/APIv3-java-library’s past year of commit activity Java 41 MIT 12 6 2 Updated Sep 13, 2024 sendinblue/APIv3-ruby-library’s past year of commit activity Ruby 43 MIT 31 0 0 Updated May 23, 2024 sendinblue/APIv3-php-library’s past year of commit activity sendinblue/APIv3-csharp-library’s past year of commit activity C# 59 MIT 26 4 1 Updated Mar 20, 2024 sendinblue/target-google-ads’s past year of commit activity Python 0 AGPL-3.0 0 0 0 Updated Feb 1, 2024 sendinblue/tap-bigquery’s past year of commit activity Python 0 Apache-2.0 34 0 0 Updated Jan 30, 2024 sendinblue/magento2-plugin’s past year of commit activity PHP 8 MIT 11 13 6 Updated Nov 2, 2023 sendinblue/tap-bamboohr’s past year of commit activity Python 0 AGPL-3.0 0 0 0 Updated Oct 20, 2023. Python Sept. 6, 2025 Download Release Notes; Python 3.10.7 Sept. 6, 2025 Download Release Notes; Python 3.10.6 Aug. 2, 2025 Download Release Notes; Python 3.10.5 J Download Release Notes; Python Download Release Notes; Python 3.10.4 Ma Download Release Notes; Python Ma Introduction. OS Centos 6 is the default Python version 2. How to Install Python 3.6 on Centos 6. Python is a powerful and flexible programming language widely used in various fields such as web development, data science, artificial intelligence, and DevOps.

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Styling Markers in Python/v3 How to style markers in Python with Plotly. This page in another language Julia MATLAB® ggplot2 Python F# R --> Note: this page is part of the documentation for version 3 of Plotly.py, which is not the most recent version. See our Version 4 Migration Guide for information about how to upgrade.The version 4 version of this page is here. Version Check¶Plotly's python package is updated frequently. Run pip install plotly --upgrade to use the latest version.In [3]:import plotlyplotly.__version__Add Marker Border¶In order to make markers distinct, you can add a border to the markers. This can be achieved by adding the line dict to the marker dict. For example, marker:{..., line: {...}}.In [4]:import plotly.plotly as pyimport plotly.graph_objs as goimport numpy as npx = np.random.uniform(low=3, high=6, size=(500,))y = np.random.uniform(low=3, high=6, size=(500,))data = [ go.Scatter( mode = 'markers', x = x, y = y, marker = dict( color = 'rgb(17, 157, 255)', size = 20, line = dict( color = 'rgb(231, 99, 250)', width = 2 ) ), showlegend = False ), go.Scatter( mode = 'markers', x = [2], y = [4.5], marker = dict( color = 'rgb(17, 157, 255)', size = 120, line = dict( color = 'rgb(231, 99, 250)', width = 12 ) ), showlegend = False )]py.iplot(data, filename = "style-add-border")Fully Opaque¶Fully opaque, the default setting, is useful for non-overlapping markers. When many points overlap it can be hard to observe density.In [5]:import plotly.plotly as pyimport plotly.graph_objs as goimport numpy as npx = np.random.uniform(low=3, high=6, size=(500,))y = np.random.uniform(low=3, high=6, size=(500,))data = [ go.Scatter( mode = 'markers', x = x, y = y, marker = dict( color = 'rgb(17, 157, 255)', size = 20, line = dict( color = 'rgb(231, 99, 250)', width = 2 ) ), showlegend = False ), go.Scatter( mode = 'markers', x = [2,2], y = [4.25,4.75], marker = dict( color = 'rgb(17, 157, 255)', size = 80, line = dict( color = 'rgb(231, 99, 250)', width = 8 ) ), showlegend = False )]py.iplot(data, filename = "style-full-opaque")Opacity¶Setting opacity outside the marker will set the opacity of the trace. Thus, it will allow. Python Sept. 6, 2025 Download Release Notes; Python 3.10.7 Sept. 6, 2025 Download Release Notes; Python 3.10.6 Aug. 2, 2025 Download Release Notes; Python 3.10.5 J Download Release Notes; Python Download Release Notes; Python 3.10.4 Ma Download Release Notes; Python Ma

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20.04 take too much time?It started good but stuck at 54% for nearly 9 hours. Since there was no error , I waited and got a message after approx 9 hours that ... 11 asked Nov 27, 2022 at 22:47 2 votes 0 answers 972 views How to revert alternatives to default python2 on 18.04? So on my 18.04 I upgraded my python3 to 3.7 (which build a meld dependency) and did this:update-alternatives --install /usr/bin/python python /usr/bin/python3 1which made the python command default ... 379 asked Aug 12, 2022 at 19:39 0 votes 0 answers 489 views Python Package Error After Upgrading Ubuntu From 18.04 To 20.04 I have upgraded my Ubuntu Server OS to 20.04 from 18.04 with this command "sudo do-release-upgrade".While upgrading, there was some problems with downloading packages for network problem.... 101 asked Jul 9, 2022 at 1:12 0 votes 0 answers 190 views gem5 compiling problems after adding python2.7 to my ubuntu I had python3.8 originally, and compiled gem5 (X86 and ARM) successfully. then I added python2.7 to run some models. now I got below errors that I have not before when trying to compile gem5 using:... 15 asked Apr 7, 2022 at 21:14 Install python-mysqldb for Python 2.7 in Ubuntu 20.04 - unmet dependencies I am trying to install python-mysqldb for Python 2.7 in Ubuntu 20.04:$ sudo add-apt-repository 'deb bionic main'$ sudo apt update$ sudo apt install -y python-... 2,708 asked Feb 3, 2022 at 6:29 4 votes 2 answers 2k views Running a Python2 program with Python3? EDIT: Updates below, the scenery seems to have changed significantly.I have Ubuntu 20.04, and have installed Python 3.10 manually. There's python 2 in the system already, and that's what I get if I ... 478 asked Jan 10, 2022 at 1:09 How to remove Python version shown in zsh terminal How can I remove this "via python v2.7.17" from my terminal?Sorry, I'm new to Ubuntu and I can't find any way to remove this from my terminal. 3 asked Jan 7, 2022 at 21:02 0 votes 0 answers 281 views set up environment for python2.7, but "pip install ." gave error of the package requires a different python: 2.7.18 not in '>=3.7, (with Windows11 and currently using Ubuntu 18.04 LTS) followed the instruction and created environment as ... 1 asked Jan 6, 2022 at 8:43

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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

2025-04-12
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