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CHAPTER 1 ϱ __1.1 å ٷ __1.2 м ̽ ϳ__1.3 ʼ ̽ ̺귯__1.4 ġ __1.5 Ŀ´Ƽ ۷__1.6 å 캸 CHAPTER 2 ̽ ⺻, IPython, Ʈ__2.1 ̽ __2.2 IPython __2.3 ̽ CHAPTER 3 ڷᱸ, Լ, __3.1 ڷᱸ ڷ __3.2 Լ__3.3 ϰ ü __3.4 ġCHAPTER 4 NumPy ⺻: 迭 __4.1 NumPy ndarray: 迭 ü __4.2 Ϲ Լ: 迭 Ҹ óϴ Լ __4.3 迭 ̿ 迭 α__4.4 迭 __4.5 __4.6 __4.7 __4.8 ġ CHAPTER 5 pandas ϱ__5.1 pandas ڷᱸ Ұ__5.2 ٽ __5.3 __5.4 ġ CHAPTER 6 ε , __6.1 ؽƮ Ͽ а __6.2 __6.3 API Բ ϱ __6.4 ͺ̽ Բ ϱ__6.5 ġ CHAPTER 7 غ__7.1 óϱ __7.2 __7.3 ڿ ٷ __7.4 ġ CHAPTER 8 غϱ: , , __8.1 __8.2 ġ __8.3 ǹ __8.4 ġ CHAPTER 9 ðȭ__9.1 matplotlib API ϰ 캸__9.2 pandas seaborn __9.3 ٸ ̽ ðȭ __9.4 ġ CHAPTER 10 __10.1 GroupBy ī__10.2 __10.3 Apply: Ϲ и--__10.4 ǹ̺ ϶ǥ __10.5 ġ CHAPTER 11 ð迭__11.1 ¥, ð ڷ, __11.2 ð迭 __11.3 ¥ , , ̵ __11.4 ð ٷ __11.5 Ⱓ Ⱓ __11.6 ø ȯ __11.7 ̵â Լ __11.8 ġ CHAPTER 12 pandas__12.1 Categorical __12.2 GroupBy __12.3 __12.4 ġ CHAPTER 13 ̽ ̺귯__13.1 pandas ڵ ̽ __13.2 Patsy ̿ؼ ϱ __13.3 statsmodels Ұ __13.4 scikit-learn Ұ __13.5 ϱ CHAPTER 14 м __14.1 Bit.ly 1.USA.gov __14.2 MovieLens ȭ __14.3 Ż ̸ __14.4 ̱ __14.5 2012 漱Űȸ ͺ̽ __14.6 ġ APPENDIX A NumPy__A.1 ndarray ü __A.2 迭 __A.3 εij __A.4 ufunc .__A.5 ȭ 迭 ڵ 迭 __A.6 Ŀ Ͽ __A.7 umba ̿Ͽ NumPy Լ ۼϱ __A.8 迭 __A.9 APPENDIX B IPython ý ˾ƺ__B.1 ɾ 丮 ϱ __B.2 ü Բ ϱ __B.3 Ʈ __B.4 IPython ̿ ڵ ߿ __B.5 IPython __B.6 ġ