pandas: powerful Python data analysis toolkit - 0.7.3should be sent to: support@lambdafoundry.com 4.4 Credits pandas development began at AQR Capital Management in April 2008. It was open-sourced at the end of 2009. AQR continued to provide resources for development Foundry, Inc. and PyData Development Team All rights reserved. Copyright (c) 2008-2011 AQR Capital Management, LLC All rights reserved. Redistribution and use in source and binary forms, with or without modification POSSIBILITY OF SUCH DAMAGE. About the Copyright Holders =========================== AQR Capital Management began pandas development in 2008. Development was led by Wes McKinney. AQR released the source0 码力 | 297 页 | 1.92 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.14.0should be sent to: support@lambdafoundry.com 4.4 Credits pandas development began at AQR Capital Management in April 2008. It was open-sourced at the end of 2009. AQR continued to provide resources for development Foundry, Inc. and PyData Development Team All rights reserved. Copyright (c) 2008-2011 AQR Capital Management, LLC All rights reserved. Redistribution and use in source and binary forms, with or without modification POSSIBILITY OF SUCH DAMAGE. About the Copyright Holders =========================== AQR Capital Management began pandas development in 2008. Development was led by Wes McKinney. AQR released the source0 码力 | 1349 页 | 7.67 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.15should be sent to: support@lambdafoundry.com 4.4 Credits pandas development began at AQR Capital Management in April 2008. It was open-sourced at the end of 2009. AQR continued to provide resources for development Foundry, Inc. and PyData Development Team All rights reserved. Copyright (c) 2008-2011 AQR Capital Management, LLC All rights reserved. Redistribution and use in source and binary forms, with or without modification POSSIBILITY OF SUCH DAMAGE. About the Copyright Holders =========================== AQR Capital Management began pandas development in 2008. Development was led by Wes McKinney. AQR released the source0 码力 | 1579 页 | 9.15 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.15.1should be sent to: support@lambdafoundry.com 4.4 Credits pandas development began at AQR Capital Management in April 2008. It was open-sourced at the end of 2009. AQR continued to provide resources for development Foundry, Inc. and PyData Development Team All rights reserved. Copyright (c) 2008-2011 AQR Capital Management, LLC All rights reserved. Redistribution and use in source and binary forms, with or without modification POSSIBILITY OF SUCH DAMAGE. About the Copyright Holders =========================== AQR Capital Management began pandas development in 2008. Development was led by Wes McKinney. AQR released the source0 码力 | 1557 页 | 9.10 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.12should be sent to: support@lambdafoundry.com 4.4 Credits pandas development began at AQR Capital Management in April 2008. It was open-sourced at the end of 2009. AQR continued to provide resources for development Foundry, Inc. and PyData Development Team All rights reserved. Copyright (c) 2008-2011 AQR Capital Management, LLC All rights reserved. Redistribution and use in source and binary forms, with or without modification POSSIBILITY OF SUCH DAMAGE. About the Copyright Holders =========================== AQR Capital Management began pandas development in 2008. Development was led by Wes McKinney. AQR released the source0 码力 | 657 页 | 3.58 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.13.1should be sent to: support@lambdafoundry.com 4.4 Credits pandas development began at AQR Capital Management in April 2008. It was open-sourced at the end of 2009. AQR continued to provide resources for development Foundry, Inc. and PyData Development Team All rights reserved. Copyright (c) 2008-2011 AQR Capital Management, LLC All rights reserved. Redistribution and use in source and binary forms, with or without modification POSSIBILITY OF SUCH DAMAGE. About the Copyright Holders =========================== AQR Capital Management began pandas development in 2008. Development was led by Wes McKinney. AQR released the source0 码力 | 1219 页 | 4.81 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.25pandas website page. 3.1.8 License BSD 3-Clause License Copyright (c) 2008-2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData �→Development Team All rights reserved. Redistribution analysis toolkit, Release 0.25.3 Bootstrap plot Bootstrap plots are used to visually assess the uncertainty of a statistic, such as mean, median, midrange, etc. A random subset of a specified size is selected0 码力 | 698 页 | 4.91 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.17.0should be sent to: support@lambdafoundry.com 5.4 Credits pandas development began at AQR Capital Management in April 2008. It was open-sourced at the end of 2009. AQR continued to provide resources for development Foundry, Inc. and PyData Development Team All rights reserved. Copyright (c) 2008-2011 AQR Capital Management, LLC All rights reserved. Redistribution and use in source and binary forms, with or without modification POSSIBILITY OF SUCH DAMAGE. About the Copyright Holders =========================== AQR Capital Management began pandas development in 2008. Development was led by Wes McKinney. AQR released the source0 码力 | 1787 页 | 10.76 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.0.0pandas website page. 2.2.8 License BSD 3-Clause License Copyright (c) 2008-2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData ˓→Development Team All rights reserved. Redistribution analysis toolkit, Release 1.0.0 Bootstrap plot Bootstrap plots are used to visually assess the uncertainty of a statistic, such as mean, median, midrange, etc. A random subset of a specified size is selected Bootstrap plot on mean, median and mid-range statistics. The bootstrap plot is used to estimate the uncertainty of a statistic by relaying on random sampling with re- placement [?]. This function will generate0 码力 | 3015 页 | 10.78 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.25.0pandas website page. 3.1.8 License BSD 3-Clause License Copyright (c) 2008-2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData ˓→Development Team All rights reserved. Redistribution analysis toolkit, Release 0.25.0 Bootstrap plot Bootstrap plots are used to visually assess the uncertainty of a statistic, such as mean, median, midrange, etc. A random subset of a specified size is selected Bootstrap plot on mean, median and mid-range statistics. The bootstrap plot is used to estimate the uncertainty of a statistic by relaying on random sampling with re- placement [?]. This function will generate0 码力 | 2827 页 | 9.62 MB | 1 年前3
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