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All Blog Posts Tagged 'dsc_code' (106)

Five software development trends for 2021: the need for developers

Well, developers, 2021 is your year. Companies in almost every industry are scrambling to expand their IT operations and automate as much as possible.

We know, we know. The demand for developers is nothing new. But 2021 is different: 2021 is the year that will put some of…

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Added by OLIVIA CUTHBERT on March 23, 2021 at 12:30am — 1 Comment

Using Hashmaps in Python

Implementing Hashmap in Python and comparing it with other languages

Hey There again. In today’s article, we will cover what hashmap is, how is it called in different languages, and finally, how is it used in Python language. So…

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Added by Sriram K on March 21, 2021 at 9:00pm — No Comments

Pros and Cons of using Python for Web Development

Python is the world’s third most popular programming language in February 2021, according to TIOBE’s index. It grew over 1.52% since January.…

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Added by Shardul Bhatt on March 17, 2021 at 10:00pm — 3 Comments

Feature Engineering At a glance

Data Science Lifecycle revolves around using various analytical methods to produce insights and applying Machine Learning techniques to do the predictions from the collected dataset. The main objective is to achieve a business challenge.

The entire process involves…

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Added by Shanthababu P on March 17, 2021 at 4:30am — No Comments

How to Create Artificial Intelligent Business Solutions Using Java?

If you think that the definition of Artificial Intelligence is definitive and concrete, maybe AI isn't exactly what you know. AI is a separate entity in itself, a world of different worlds. To break in simple words, AI is a technological…

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Added by Divyesh Aegis on March 1, 2021 at 9:00pm — No Comments

Python vs R! Which one should you choose for data Science

Increased consumption of data, more powerful computing, and the strong inclination towards data-driven decisions in business have made data science a crucial part of today's business environment. According to IBM, there is a huge demand for data scientists…

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Added by akash on February 27, 2021 at 10:09pm — No Comments

Connecting RStudio To Amazon Redshift

In this document, we will discuss about the steps to be followed along with the necessary libraries and code chunks needed to establish the connectivity from R to S3 using aws roles and between R and Redshift using jdbc drivers.

This steps will even work when the S3 and RStudio are in two different AWS account. We need to have a Cross account…

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Added by Syed Abdul Sathar A on February 17, 2021 at 9:00pm — No Comments

Single or Multiple Lines: What's Better For Python Code Readability?

In another article, we discussed how to simplify your Python code for optimal readability. That piece covered why writing simpler code will help with the reader’s comprehension of your syntax and force you to think about problems in a way that is easier to explain to those who may not be as technically savvy. This article will…

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Added by Zoe Zbar on December 22, 2020 at 12:04pm — No Comments

How and Why You Should Be Explicit When Python Coding

In a previous article, you learned how to format your Python code for optimal readability. That piece went into detail about spacing, number of characters on a line, and more. In this article, you will learn how to keep your Python code explicit to ensure others fully understand your work and eliminate any possible confusion. This good practice will…

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Added by Zoe Zbar on December 22, 2020 at 12:00pm — No Comments

Best Naming Conventions When Writing Python Code

Naming Conventions 

During a recent workshop, bootcamp instructor Alex Baransky shared some of the best practices in writing Python code for better readability. Through this series of articles, we will summarize and give you a few examples of those best practices to help you write more elegant Python code, benefiting those who may read and use your…

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Added by Zoe Zbar on December 22, 2020 at 11:57am — No Comments

Bootstrapping Time Series for Gold Rush

Bootstrap aggregating (bagging), is a very useful averaging method to improve accuracy and avoids overfitting, in modeling the time series. It also helps stability so that we don’t have to do Box-Cox transformation to the data.

Modeling time series data is difficult because the data are autocorrelated. In this case, moving block bootstrap (MBB) should be preferred because MBB resamples the data inside overlapping blocks to…

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Added by Selcuk Disci on December 14, 2020 at 5:58am — No Comments

When is programming needed in most leading Self Service configurations

When is programming needed in most leading Self Service configurations?

Please add to: 

       IF one of the answers is " To add to your BI application an AUTHORIZATION API using REST or SOAPUI,

please try to add more similar examples.

Thanks

Jackg

Added by Jacob Goldenberg on December 13, 2020 at 10:40pm — No Comments

A Complete Tutorial on Time Series Modeling in R

This article was written by Tavish Srivastava.

Overview

  • Time Series Analysis and Time Series Modeling are powerful forecasting tools
  • A prior knowledge of the statistical theory behind Time Series is useful before Time series Modeling
  • ARMA and ARIMA…
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Added by Andrea Manero-Bastin on December 13, 2020 at 12:00pm — No Comments

When is programming needed in most leading Self Service configurations

To all Data Analysts big and small:

Many Corporates typically have Self service BI and DWH solutions ( I am asking only about those

who did NOT build an inhouse solution) : 

-When is programming needed in most leading Self Service configurations?

-When do analysts and Business executives require coding and programming when the Self…

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Added by Jacob Goldenberg on December 12, 2020 at 3:58pm — No Comments

PCA Image Compression Using R Shiny App

PCA is mathematically defined as an orthogonal linear transformation that transforms the data to a new coordinate system such that the greatest variance by some projection of the data comes to lie on the first coordinate (called the first principal component), the second greatest variance on the second coordinate, and so on. In other words, we convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. To…

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Added by Shruti Nair on November 30, 2020 at 10:30pm — No Comments

Universities finally realize that Java is a bad introductory programming language

This article was written by Matthew Hughes. 

CS 106A is Stanford University’s introductory programming course. The module – which is also available to view on YouTube – introduces the fundamentals of coding in an accessible way, and lays the foundations for…

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Added by Andrea Manero-Bastin on November 25, 2020 at 2:00am — No Comments

Time-Series Feature Extraction with Easy One Line of Python Code

Introduction and Motivation

It is becoming increasingly common for organizations to collect very large amounts of data over time, and to…

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Added by Sharmistha Chatterjee on November 19, 2020 at 12:22am — No Comments

Covariance & Correlation | Major Differences and Applications in Data Science

Covariance and correlation are two of the most significantly used terms in the field of statistics and probability. Both are concepts that describe the relationship between two random variables to each other.…

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Added by Ram Tavva on November 11, 2020 at 2:20am — No Comments

Recent Java enhancements for numeric calculations

In the past, slow evaluation of mathematical functions and large memory footprint were the most significant drawbacks of Java compared to C++/C for numeric computations and scientific data analysis. However, recent enhancements in the Java Virtual Machine (JVM) enabled faster and better numerical computing due to several enhancements in evaluating trigonometric functions.

In this article we will use the DataMelt (https://datamelt.org) for our…

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Added by jwork.ORG on November 7, 2020 at 10:21am — No Comments

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