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![Python: Qu'est-ce que c'est?Multi-paradigm(objectoriented, functional…)print“Easy as…“fori in [1,2,3]:printictypes,sockets,files,regex,…Matplotlib,SciPy,NumPy,PyQT,…](https://image.slidesharecdn.com/pythonpresentationnew-100309100416-phpapp02/75/Python-for-Scientists-2-2048.jpg)
![VNA exampleusesPyQtfortheuserinterfacectypesExample: Taming an AcqiriscardObjective: Loadtheexternal DLL, transfersomemeasurementdataandprocessit on thefly.frompylabimport*;fromctypesimport*vi_session= c_uint32()temperature= c_int32() time_us= c_int32()timestamp= c_int32()nsegments_returned= c_int32()npoints_returned= c_int32()acqiris=windll.LoadLibrary(r‘C:\projects\python\pylab\instruments\dllAcqiris.dll‘)acqiris.FindDevicesV1(byref(vi_session),byref(temperature))#Configuration...acqiris.AcquireV1(vi_session,1,byref(time_us))waveforms = zeros((4,250 *100))acqiris.DMATransferV1(vi_session,15,100,250,0,1,4e-9, byref(timestamp),waveforms[0,:].ctypes.data,waveforms[1,:].ctypes.data,waveforms[2,:].ctypes.data,waveforms[3,:].ctypes.data,byref(time_us),byref(nsegments_returned),byref(npoints_returned))#Waveformdatanowisstored in „waveforms“ arrayandcanbeprocessed, e.g. apply FFT & plot:plot(range(len(waveforms[0,:])),fft(waveforms[0,:]))](https://image.slidesharecdn.com/pythonpresentationnew-100309100416-phpapp02/75/Python-for-Scientists-11-2048.jpg)
![SciPy & NumPyExampleimportscipy.optimize#Define the model to befittedfitfunc= lambda p, x: p[0]+p[1]*exp(-x*abs(p[2]))*cos(p[3]+p[4]*x)#Define the errorfunctionerrfunc = lambda p, x, y: fitfunc(p, x)– y#Make a fit by minimizing the errorfunctionp1 = scipy.optimize.fmin(lambdap,x,y: norm(errfunc(p,x,y)), p0, args=(data [:,0], data[:,1]))#Print the returnedparametersprint p1#Plot the data and the fit…plot(data[:,0], data[:,1], "ro", data[:,0], fitfunc(p1, data[:,0]), "b-")#Add a legendlegend(("data","fit"))#Add a titletitle("Ramsey - $V_{fluxline}= %d mV$, $T_2 = %d$ ns, $A = %f$ " % (int(voltage) , abs(int(1.0/p1[2])),p1[1]))](https://image.slidesharecdn.com/pythonpresentationnew-100309100416-phpapp02/75/Python-for-Scientists-13-2048.jpg)
![MatplotlibExamplesgrid()#Add gridlinestotheplot#Plot 4 datasetsplot(x1,y1,x2,y2,x3,y3,x4,y4)#Add a legendlegend((“Amplification…“,“…“))#Set theaxislabelsxlabel(“frequency[GHz]“)ylabel(“attenuation[dB]“)#Save thefigureas a PDFsavefig(“attenuation.pdf“)jet() #Select a colorsheme#Plot the matriximshow(dataMatrix,aspect = 'auto',origin = 'lower',extent = (xmin,xmax,ymin,ymax))xlabel("$A$ [V]")ylabel("$f$ [GHz]")#Use Latex for text…title("Qubit 1 – Modulated by $V_{flux2} = A \cdot \sin{(20 MHz \cdot 2\pi t)}$")](https://image.slidesharecdn.com/pythonpresentationnew-100309100416-phpapp02/75/Python-for-Scientists-15-2048.jpg)
Uploaded byAndreas Dewes
Python for Scientists
Python is a multi-paradigm programming language that can be used for scientific applications. It has libraries for tasks like data acquisition, analysis, and visualization. Examples shown include using Python to acquire data from instruments via VISA, analyze data with NumPy and SciPy, and create graphical user interfaces and visualizations with Matplotlib and PyQt. The document provides an overview of Python's capabilities and examples of code for common scientific computing tasks.
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Python for Scientists
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- 2. Python: Qu'est-ce quec'est?Multi-paradigm(objectoriented, functional…)print“Easy as…“fori in [1,2,3]:printictypes,sockets,files,regex,…Matplotlib,SciPy,NumPy,PyQT,…
- 3. Whytouseit: A ScientificWorkflow
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- 6. Data Acquisition http://pyvisa.sourceforge.net http://docs.python.org/library/ctypes.html
- 7. PyVisaExample: MWG &VNAfromvisaimport*#Open a connectionto an Anritsu MWGanritsu = instrument(“GPIB0::12“)#Askfortheoutputfrequencyprint anritsu.ask(“OF1“)#Set theoutput poweranritsu.write(“L15DM“)#Turn on themicrowaveanritsu.write(“RF0“)vna = instrument(„GPIB0::15“)x = vna.ask_for_values(“fma;ofv;“)y = vna.ask_for_values(“fma;ofd;“)VNA FrontpanelKeypointsClear, object-orientedinterface
- 8. Directly process &analyze measured data
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- 11. VNA exampleusesPyQtfortheuserinterfacectypesExample: Tamingan AcqiriscardObjective: Loadtheexternal DLL, transfersomemeasurementdataandprocessit on thefly.frompylabimport*;fromctypesimport*vi_session= c_uint32()temperature= c_int32() time_us= c_int32()timestamp= c_int32()nsegments_returned= c_int32()npoints_returned= c_int32()acqiris=windll.LoadLibrary(r‘C:\projects\python\pylab\instruments\dllAcqiris.dll‘)acqiris.FindDevicesV1(byref(vi_session),byref(temperature))#Configuration...acqiris.AcquireV1(vi_session,1,byref(time_us))waveforms = zeros((4,250 *100))acqiris.DMATransferV1(vi_session,15,100,250,0,1,4e-9, byref(timestamp),waveforms[0,:].ctypes.data,waveforms[1,:].ctypes.data,waveforms[2,:].ctypes.data,waveforms[3,:].ctypes.data,byref(time_us),byref(nsegments_returned),byref(npoints_returned))#Waveformdatanowisstored in „waveforms“ arrayandcanbeprocessed, e.g. apply FFT & plot:plot(range(len(waveforms[0,:])),fft(waveforms[0,:]))
- 12. Data Analysis http://www.scipy.org http://numpy.scipy.org
- 13. SciPy & NumPyExampleimportscipy.optimize#Definethe model to befittedfitfunc= lambda p, x: p[0]+p[1]*exp(-x*abs(p[2]))*cos(p[3]+p[4]*x)#Define the errorfunctionerrfunc = lambda p, x, y: fitfunc(p, x)– y#Make a fit by minimizing the errorfunctionp1 = scipy.optimize.fmin(lambdap,x,y: norm(errfunc(p,x,y)), p0, args=(data [:,0], data[:,1]))#Print the returnedparametersprint p1#Plot the data and the fit…plot(data[:,0], data[:,1], "ro", data[:,0], fitfunc(p1, data[:,0]), "b-")#Add a legendlegend(("data","fit"))#Add a titletitle("Ramsey - $V_{fluxline}= %d mV$, $T_2 = %d$ ns, $A = %f$ " % (int(voltage) , abs(int(1.0/p1[2])),p1[1]))
- 14. Presentation & Visualizationhttp://matplotlib.sourceforge.net/ http://qt.nokia.com/
- 15. MatplotlibExamplesgrid()#Add gridlinestotheplot#Plot 4datasetsplot(x1,y1,x2,y2,x3,y3,x4,y4)#Add a legendlegend((“Amplification…“,“…“))#Set theaxislabelsxlabel(“frequency[GHz]“)ylabel(“attenuation[dB]“)#Save thefigureas a PDFsavefig(“attenuation.pdf“)jet() #Select a colorsheme#Plot the matriximshow(dataMatrix,aspect = 'auto',origin = 'lower',extent = (xmin,xmax,ymin,ymax))xlabel("$A$ [V]")ylabel("$f$ [GHz]")#Use Latex for text…title("Qubit 1 – Modulated by $V_{flux2} = A \cdot \sin{(20 MHz \cdot 2\pi t)}$")
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- 17. PyQTExample: Instrument frontpanelstitle= QLabel(„Qubit 1")splitter = QSplitter(Qt.Horizontal)SetButton= QPushButton("Set")splitter.addWidget(SetButton)#...grid = QGridLayout(self)grid.addWidget(title,0,0)grid.addWidget(QLabel("Voltage"),1,0)#...self.connect(SetButton,SIGNAL("clicked()"),self.changeVoltage)self.setLayout(grid)Or useQt Designer:
- 18. HowToGetStarted1. Download it…2.Check out thedocumentation & tutorial (online)3. Go &contributetotheWiki4. Askyourcolleagues… http://www.python.org http://docs.python.org/tutorial/ http://wiki-quantro.extra.cea.fr
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