Python-for-Finance-Second-Edition-master

  Python是一种面向对象、解释型计算机程序设计语言，其应用领域非常广泛，包括数据分析、自然语言处理、机器学习、科学计算以及推荐系统构建等。 本书用Python语言来讲解算法的分析和设计。本书主要关注经典的算法，但同时会为读者理解基本算法问题和解决问题打下很好的基础。(Python is an object-oriented, interpretive computer programming language. It has a wide range of applications, including data analysis, natural language processing, machine learning, scientific computing and recommendation system construction. This book uses Python language to explain the analysis and design of algorithms. This book focuses on classical algorithms, but at the same time it will lay a good foundation for readers to understand basic algorithms and solve problems. The book consists of 11 chapters. The tree, graph, counting problem, inductive recursion, traversal, decomposition and merging, greedy algorithm, complex dependency, Dijkstra algorithm, matching and cutting problem, difficult problem and its dilution are introduced. The book has exercises and reference materials at the end of each chapter, which provides readers with more convenience for self-examination and further stu)

Python-for-Finance-Second-Edition-master, 0 , 2017-12-17
Python-for-Finance-Second-Edition-master\.gitattributes, 378 , 2017-12-17
Python-for-Finance-Second-Edition-master\.gitignore, 649 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01, 0 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_01_assign_value.py, 291 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_02_import_math_module.py, 297 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_03_def_fv_funtion.py, 330 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_04_def_pv_funtion.py, 330 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_05_pv_f_with_help_comments.py, 702 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_06_if_else.py, 344 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_07_NPV_function.py, 400 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_08_NPV_Excel.py, 412 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_09_while_loop.py, 292 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_10_while_loop_2IRRs.py, 545 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_11_import_math_print_dir.py, 296 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_12_read_csv_file.py, 308 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_13_read_remote_data.py, 359 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_14_read_pickle_data.py, 337 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_15_if_condition.py, 318 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_16_logic_and_logic_or.py, 368 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_17_to_letter_grade.py, 480 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_18_many_useful_commands.py, 859 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_19_flatten_function.py, 397 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_20_matrix_dot_product.py, 439 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_21_read_ffMonthly_data.py, 529 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_22_data_output.py, 322 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_23_read_stock_data_and_save_it.py, 550 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_24_read_infile.py, 306 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter01\c1_25_string_replacement.py, 329 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter02, 0 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter02\c2_01_time_value_of_money.py, 1100 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter02\c2_02_pandas_1.py, 389 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter02\c2_03_pandas_02, 145 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter02\c2_04_interplate.py, 428 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter02\c2_05_example_statsmodel_OLS.py, 412 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter02\c2_06_generate_pickle.py, 385 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter02\c2_07_statsmodels_OLS.py, 411 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter02\c2_08_example_pandas.py, 403 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter02\c2_09_bsCall.py, 442 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter02\c2_99_interplate_not_working.py, 596 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter03, 0 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter03\c3_01_write_your_own_financial_calculator.py, 733 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter03\c3_02_myPV_based_on_scipy.py, 797 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter03\c3_03_IRRs_funciton.py, 723 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter03\c3_04_appendix_E_more.py, 566 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04, 0 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_01_dir_pandas_data.py, 315 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_02_dir_pandas_data.py, 331 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_03_get_data_google.py, 358 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_04_dir_fin.py, 299 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_05_get_data.py, 351 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_06_read_local_csv_file.py, 332 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_07_first_one.py, 416 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_08_get_data_5lines.py, 454 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_09_get_return_only.py, 502 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_10_from_daily_ret_to_monthly_ret.py, 765 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_11_daily_ret_to_annual.py, 728 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_12_get_ffMonthly.py, 364 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_13_generate_ffMonthly_txt2.py, 844 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_14_download_one_jpg_image.py, 414 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_15_get_data_google_01.py, 345 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_16_ttest_2stocks.py, 677 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_17_print_png_image.py, 410 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_18_federal_fund_rate.py, 722 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_19_appendixA.py, 801 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_20_appendixB.py, 1690 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_21_appendixC.py, 1037 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_22_appendixD_intraday.py, 1075 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter04\c4_23_read_csv_local_file.py, 321 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter05, 0 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter05\p4f.cpython-35.pyc, 27833 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter05\spreadBasedOnCreditRating.pkl, 1873 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06, 0 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_01_learn_OLS.py, 583 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_02_random_OLS.py, 538 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_03_04_read_pickle.py, 310 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_03_random_OLS.py, 426 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_05_read_excel.py, 297 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_06_input_excel_02.py, 338 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_07_read_csv_file.py, 301 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_08_dailyReturn_4_annual.py, 1276 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_09_save_price_data_from_Google.py, 410 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_10_save_price_data_from_Yahoo.py, 504 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_11_save_csv_file.py, 513 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_12_save_a_binary_file.py, 467 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_13_save_Excel_file.py, 451 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_14_save_Excel_file_index_false.py, 512 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_15_string_manipulation.py, 884 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_16_string_manipulation2.py, 713 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_17_yanMonthly.py, 313 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_18_lag_and_forward.py, 396 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_19_lag_once.py, 439 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_20_save_simple_pickle.py, 375 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_21_yanMonthly_unique_securities.py, 392 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_22_sp500_return_lag_lead.py, 427 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_23_lag.py, 346 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_24_bible.py, 743 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_25_mention_canopy.py, 255 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_26_beta_good.py, 753 , 2017-12-17
Python-for-Finance-Second-Edition-master\Chapter06\c6_27_get_beta_good.py, 423 , 2017-12-17