Content Library Growth in the Past 3 Months, Project Jupyter and Interactive Computing, Pandas Resampling Tutorial, Data Visualization In Python Using Bokeh, and more!
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[DataCamp](
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ISSUE #67 â OCTOBER 16, 2018
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[DataCamp Weekly](
Hi there - this week's newsletter starts off with a blog post on the team behind the content at DataCamp, followed by an overview of the content we've released in Q3 this year, and whatâs coming next. All of our content is designed to make it easier to learn, practice, and apply the data science skills youâll use in your career. We also have a new podcast episode out and wanted to share a couple of finance and neural network tutorials, a pandas resampling tutorial, and much more from our Community!
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Podcast
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[DataFramed by DataCamp]
Project Jupyter and Interactive Computing
New DataFramed Episode! Learn about data science, interactive computing, open source software, and Project Jupyter with Brian Granger (co-founder of Project Jupyter).
[Listen Now](
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Community Top Posts
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[1](
[How Is Content Created At DataCamp?](
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DATACAMPÂ Â |Â Â Posted by davidventuri
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In this blog, learn about the team behind the screen that helps create the courses, practice exercises, and projects here at DataCamp.
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[2](
[Our Content Library Growth in the Past 3 Months](
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DATACAMPÂ Â |Â Â Posted by martijn
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In this post, DataCamp co-founder Martijn Theuwissen reflects on the new content we launched in Q3 2018 and looks ahead to whatâs coming in Q4.
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[3](
[VGG16 And Its Implementation Using Keras](
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NEURAL NETWORKSÂ Â |Â Â Posted by rizwankhan19
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Karen Simonyan and Andrew Zisserman investigated the effect of convolutional network depth on the accuracy of large-scale image recognition. They named their findings VGG16 (Visual Geometry Group) and VGG19. Read about VGG16 and its implementation using Keras in this article.
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[4](
[Data Visualization In Python Using Bokeh](
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DATA VISUALIZATIONÂ Â |Â Â Posted by virajb
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12
Data visualization is one of the key functions of a data scientist. Drawing on context from algorithmic trading, this article explains how one can visualize data in Python using Bokeh.
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[5](
[Implementing AlexNet CNN Architecture Using Keras](
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NEURAL NETWORKSÂ Â |Â Â Posted by rizwankhan19
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Alex Krizhevsky, Geoffrey Hinton, and Ilya Sutskever created a neural network architecture called 'AlexNet' and won the Image Classification Challenge (ILSVRC) in 2012. In this article, you will learn how to implement AlexNet architecture using Keras.
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[6](
[Backtesting Long Short Moving Average Crossover Strategy in Excel](
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FINANCEÂ Â |Â Â Posted by virajb
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11
Learn how to build the 'Hello World' of trading strategies: the Long Short Moving Average Crossover Strategy.
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[7](
[Converting Tick-By-Tick Data To OHLC Data Using Pandas Resample](
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PANDASÂ Â |Â Â Posted by virajb
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In this pandas resample tutorial, see how to use the pandas package to convert tick by tick data to Open, High, Low, and Close data in python.
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[8](
[Connecting FXCM Over FIX - A Detailed Tutorial](
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FINANCEÂ Â |Â Â Posted by virajb
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This article introduces you to the Financial Information Exchange (FIX) protocol, and how you can leverage QuickFIX as a messaging engine to manage communication on top of FIX.
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[Introduction To Zipline In Python](
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PYTHONÂ Â |Â Â Posted by virajb
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This blog post is an introduction to zipline in Python. It covers the zipline package, highlighting some of its benefits, how to install it, and more!
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[10](
[5 Rising Trends Disrupting the 2018 Analytics Hiring Market](
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CAREERÂ Â |Â Â Posted by lindaburtch
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7
Burtch Works looked at which current trends are shaking up the analytics hiring market this year, including their implications for both professionals and employers, as well as two trends on the horizon that are set to shake up the market in a big way.
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[DataCamp Community](
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FOR THE COMMUNITY
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That's all for now. Have a great week!
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