Python for Finance - Second Edition 售价:¥90.46 29人正在读 |0人评论 6.2 作者:Yuxing Yan 出 版 社:Packt Publishing 出版时间:2017-07-07 字数:259.8万 所属分类:进口书>外文原版书>电脑/网络 温馨提示:数字商品不支持退换货,不提供源文件,不支持导出打印 为你推荐 读书简介 目录 累计评
Hadoop Real-World Solutions Cookbook - Second Edition ￥99.18 读书简介 目录 累计评论(0条)A handson guide with easytofollow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python. Python for Finance is perfect for graduate students, ...
Python For Finance Cookbook. Packt Publishing, 2020. @book{Lewinson2019, address = {Birmingham, UK}, author = {Lewinson, Eryk}, edition = {1}, isbn = {9781789618518}, publisher = {Packt Publishing}, title = {{Python For Finance Cookbook}}, year = {2020} }### Download a free PDF...
Python for Finance Cookbook: Over 80 powerful recipes for effective financial data analysis, 2nd Edition Eryk Lewinson 4.2 out of 5 stars 55 Paperback 12 offers from $27.24 #39 Python All-in-One For Dummies (For Dummies: Learning Made Easy) John C. Shovic 4.4 out of 5 stars 63 ...
Python for Finance Cookbook: Over 50 recipes for applying modern Python libraries to financial data analysis by: Eryk Lewinson Book Description Print Length 页数: 432 pages Publisher finelybook 出版社: Packt Publishing (January 31,2020)
Back To Basics, Part Uno: Linear Regression and Cost Function Data Science An illustrated guide on essential machine learning concepts Shreya Rao February 3, 2023 6 min read Must-Know in Statistics: The Bivariate Normal Projection Explained
【预售 按需印刷】Python for Finance Cookbook 作者:ErykLewinson出版社:Packt Publishing出版时间:2020年01月 手机专享价 ¥ 当当价降价通知 ¥507.45 配送至 北京 至北京市东城区 服务 由“中图图书旗舰店”发货,并提供售后服务。 中图图书旗舰店
In the previous recipe, Investigating advanced classifiers, we introduced a few examples of ensemble models. They used multiple decision trees (each model in a
Python for Finance - Second Edition - 2017.pdf Python凭借其简单、易读、可扩展性以及拥有巨大而活跃的科学计算社区,在需要分析、处理大量数据的金融行业得到了广泛而迅速的应用,并且成为该行业开发核心应用的编程语言。《Python金融大数据分析》提供了使用Python进行数据分析,以及开发相关应用程序的技巧和工具。 《Pytho...
Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics。