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15 Python Tips : How to Write Code Effectively

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 Here are some Python tips to keep in mind that will help you write clean, efficient, and bug-free code.     Python Tips for Effective Coding 1. Code Readability and PEP 8  Always aim for clean and readable code by following PEP 8 guidelines.  Use meaningful variable names, avoid excessively long lines (stick to 79 characters), and organize imports properly. 2. Use List Comprehensions List comprehensions are concise and often faster than regular for-loops. Example: squares = [x**2 for x in range(10)] instead of creating an empty list and appending each square value. 3. Take Advantage of Python’s Built-in Libraries  Libraries like itertools, collections, math, and datetime provide powerful functions and data structures that can simplify your code.   For example, collections.Counter can quickly count elements in a list, and itertools.chain can flatten nested lists. 4. Use enumerate Instead of Range     When you need both the index and the value in a loop, enumerate is a more Pyth
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SAS Visual Analytics top features useful to your project

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SAS visual
You may already know that SAS is king in visual analytics. The real features that SAS provide you can learn here.I have collected some features on SAS analytics. 

 SAS Visual Analytics is an easy to use, web-based product that leverages SAS high performance analytic technologies and empowers organizations to explore huge volumes of data very quickly in order to see patterns and trends, and to identify opportunities for further analysis. 
"SAS Visual Data Builder enables users to summarize data, join data, and enhance the predictive power of their data. Users can prepare data for exploration and mining quickly and easily."
The highly visual, drag and drop data interface of SAS Visual Analytics Explorer combined with the speed of the SAS LASR Analytic Server accelerates analytic computations and enables organizations to derive value from massive amounts of data. 

 This creates an unprecedented ability to solve difficult problems, improve business performance, and mitigate risk rapidly and confidently. SAS Visual Analytics Designer enables users to quickly create reports or dashboards, which can be viewed on a mobile device or on the web.

Advantages

  • SAS Visual Analytics empowers business users, business analysts, and IT administrators to accomplish tasks from an integrated suite of applications that are accessed from a home page. 
  • The central entry point for SAS Visual Analytics enables users to perform a wide variety of tasks such as preparing data sources, exploring data, designing reports, as well as analyzing and interpreting data. Most importantly, reports can be displayed on a mobile device or in the SAS Visual Analytics Viewer.

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