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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

The best career skills need for Social media platform

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#How-to-apply-social-media-analytics-for-all-it-developers Listening -  This one is still very much true, and perhaps even more so. The best social media pros listen the most actively and most aggressively. Pattern Recognition -  This is getting more and more critical as the data and complexity of social continues to ratchet up. Are these posts on our Facebook page a crisis in the making, or just noise? Where are the real-time marketing opportunities?  Instantly identifying patterns and being able to capitalize upon them  are some of the skills that separate good social practitioners from great ones. Visual Thinking -  This is perhaps the biggest change in the past year or two. Being a great writer was formerly a key characteristic of many social pros, as being able to coherently write in 140 characters isn’t as easy as it appears. Today, with every social network embracing visuals and multi-media,  being able to represent the brand visually is absolutely critical.  This i

Infosys Looking for New Opportunities in Cutting Edge Software

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Analytical skills "I want us to be there in the great problems that are emerging around artificial intelligence techniques, deep data science and big data techniques, analytics and so on. New Opportunities Finding new energy sources, digital oil fields. This is the big thing in the minds of people in the oil and gas industry," Sikka said. Vishal Sikka also told that Infosys could build a computer like IBM's Watson from scratch. Watson is an artificially intelligent computer system that can answer questions posed in normal language and can be used to help make decisions. Watson Power In January this year, IBM announced that it would create a business unit around Watson. IBM CEO Virginia Rometty has said she wants Watson to be a $10 billion business. Read more here.

Data science these IT skills you need to learn to get job

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The most lucrative analytics skills include MapReduce, Apache Pig, Machine Learning, Apache Hive and Apache Hadoop. Machine learning, big data, and data science skills are the most challenging to recruit for and potentially can create the greatest disruption to ongoing product development and go-to-market strategies if not filled. Image Courtesy|Stockphotos.io Great in demand it skills... Big Data (Information Technology): 3,977% Node.js (Design): 2,493% Tableau (Research and Analysis): 1,581% NoSQL (Information Technology): 1,002% Apache Hadoop (Information Technology): 704% HTML5 (Information Technology): 612% Python (Research and Analysis): 456% Oracle (Sales): 382% JSON (Information Technology): 318% Salesforce CRM (Sales): 292%