Path: csiph.com!fu-berlin.de!uni-berlin.de!not-for-mail From: Joel Goldstick Newsgroups: comp.lang.python Subject: Re: The Real-Time Use of Python in Data Science World! Date: Fri, 26 Feb 2016 14:47:59 -0500 Lines: 35 Message-ID: References: <709dbf52-4b56-4bed-946d-0e6ecba59874@googlegroups.com> Mime-Version: 1.0 Content-Type: text/plain; charset=UTF-8 X-Trace: news.uni-berlin.de guEpxdhkf+t7s6XtcOQJaAH4u96j/GAfC6zXuCXf2+vw== Return-Path: X-Original-To: python-list@python.org Delivered-To: python-list@mail.python.org X-Spam-Status: OK 0.133 X-Spam-Level: * X-Spam-Evidence: '*H*': 0.74; '*S*': 0.01; 'received:209.85.223': 0.03; 'subject:Python': 0.05; 'cc:addr:python-list': 0.09; 'statistical': 0.09; 'advance': 0.10; 'python': 0.10; '2016': 0.16; 'expressions,': 0.16; 'insights': 0.16; 'looping': 0.16; 'received:io': 0.16; 'received:psf.io': 0.16; 'wrote:': 0.16; 'email addr:gmail.com>': 0.18; 'cc:2**0': 0.20; 'cc:addr:python.org': 0.20; 'fee.': 0.22; 'oriented': 0.22; 'feb': 0.23; 'second': 0.24; 'header:In-Reply-To:1': 0.24; 'fri,': 0.27; 'message-id:@mail.gmail.com': 0.27; 'tend': 0.27; 'idea': 0.28; 'regular': 0.29; 'analytical': 0.29; 'sets.': 0.29; 'classes': 0.30; 'url:mailman': 0.30; 'post': 0.31; 'url:python': 0.33; 'url:listinfo': 0.34; 'received:google.com': 0.35; 'programming.': 0.35; 'knowledge': 0.35; 'url:org': 0.36; 'received:209.85': 0.36; 'data.': 0.36; 'pm,': 0.36; 'subject:: ': 0.37; 'received:209': 0.38; 'data': 0.39; 'subject:-': 0.39; 'url:mail': 0.40; 'your': 0.60; 'subject:The': 0.61; 'real': 0.62; 'course': 0.62; 'industry.': 0.63; 'techniques': 0.65; 'subject:Data': 0.66; 'url:gl': 0.69; 'business': 0.69; 'levels': 0.70; 'person.': 0.70; 'url:info': 0.71; '26,': 0.72; 'url:goo': 0.72; 'advertising': 0.74; 'gain': 0.82; 'anita': 0.84; 'here...': 0.84; 'objective:': 0.84; 'real-life': 0.84; 'utilized': 0.84; 'to:none': 0.91; 'joel': 0.91; 'subject:Science': 0.91; 'subject:World': 0.91 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:cc; bh=2him3HF++ZfGkVBhlQLvEIxqepGdXO4khGJS3H/4qHE=; b=Q/H0mQWe6W/UDdtceAv49+tGJdRT1tA87SbslLEbV1Eg0BGiXFGpYxECSMG8CbThS+ MFODe0h9/xoDq7Vgfb2uDqJgXrAwmwXNW3eQhuuSDDCX2NHoPOZSTRTFG2JgHxaRox0K +KUYSIA2of+sOYWYJym4o0ABdj+fEjfd2JfNVP4sPMDkqoNKTXssfE5CZUj0K0k7f608 6+zYNHARPVyy+EuBbSEoOoVLMak4iD2XQ+4/VbTWh32wNZlDKR9RrZTQqzQS5fKOVkqH iTGd95z9FO7SIU0UVqmoez0Znfur9jKXNtlmhIOsC6oPNSWf0JxAg1N2mu5WLfkvj2oy MlZg== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20130820; h=x-gm-message-state:mime-version:in-reply-to:references:date :message-id:subject:from:cc; bh=2him3HF++ZfGkVBhlQLvEIxqepGdXO4khGJS3H/4qHE=; b=VyY+qpLZ+1p7MgbkpxcDPF0AIDie9rHzhb3vyl9pXdT7VlV4raYybEGXgU51b1T6Pq F+BcRy2HPB6zxsi2z+94SZUAu9OXlKSpzv+/M2QZhZhP2uOKjDdMSzB+Wv7FN0/mRKUc BR2sSARw//pb5EYXdJR5wdkmGzB8tsle/+LICq2lfFu6a29vTM+mPEJvMy7uoCslYa5H MWHhjBU0vSjZsRJmQl18GiJ24tcidMM/qlDADUH7bCeF8ej6z5b09jdENGKhYiD2BZfi LwHbxGbe6TD9m0STrElRNq5x+0DfLZsuZAJAt5MgUkQGwxPi2cOw5hB7y058WWnRMkrx +2hw== X-Gm-Message-State: AG10YOS9fri6MimA4rxthJnGfqDqN1oP5dyS2VKPGQNqzGgWcphkebHJS7OxDPJSFySoYW13p4UvFWP/e3O9Pw== X-Received: by 10.107.15.201 with SMTP id 70mr9281652iop.125.1456516079392; Fri, 26 Feb 2016 11:47:59 -0800 (PST) In-Reply-To: <709dbf52-4b56-4bed-946d-0e6ecba59874@googlegroups.com> X-Content-Filtered-By: Mailman/MimeDel 2.1.21rc2 X-BeenThere: python-list@python.org X-Mailman-Version: 2.1.21rc2 Precedence: list List-Id: General discussion list for the Python programming language List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Xref: csiph.com comp.lang.python:103552 On Fri, Feb 26, 2016 at 2:35 PM, Anita Goyal wrote: > This course will help you to expertise the usage of Python in Data Science > world. > > Carter your Python Knowledge so that it can be utilized to get the > Insights of Data using Methodologies and Techniques of Data Science... > > Objective: > Understand the concepts of Data science and Python > You will be able to use Python in Discovering Data. > You will have an idea of Statistical and Analytical methods to deal with > huge data sets. > You will gain an expertise on Regular Expressions, looping functions and > concepts of Object Oriented Programming. > You will be able to create business algorithms and data models using > Python and it's techniques. > Work on Real-life Projects will help you to get a practical experience of > real scenarios of IT Industry. > > Start learning Python for Data Science from basics to advance levels > here... > https://goo.gl/070wXw > -- > https://mail.python.org/mailman/listinfo/python-list > Second post by this person. Both advertising classes for a fee. Is this proper posting? I tend to think it is spam -- Joel Goldstick http://joelgoldstick.com/ http://cc-baseballstats.info/