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Python Regex: The 5 Exclusive Examples

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 Regular expressions (regex) are powerful tools for pattern matching and text manipulation in Python. Here are five Python regex examples with explanations: 01 Matching a Simple Pattern import re text = "Hello, World!" pattern = r"Hello" result = re.search(pattern, text) if result:     print("Pattern found:", result.group()) Output: Output: Pattern found: Hello This example searches for the pattern "Hello" in the text and prints it when found. 02 Matching Multiple Patterns import re text = "The quick brown fox jumps over the lazy dog." patterns = [r"fox", r"dog"] for pattern in patterns:     if re.search(pattern, text):         print(f"Pattern '{pattern}' found.") Output: Pattern 'fox' found. Pattern 'dog' found. It searches for both "fox" and "dog" patterns in the text and prints when they are found. 03 Matching Any Digit   import re text = "The price of the
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These are energy analytics top areas to focus

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energy analytics
Energy Analytics is a new area started recently. The below are the key points in analytics.

According to Siemens, Outsource your energy data management as a service and benefit from regular analyses performed by our energy experts. Evaluations show that this service makes it possible to easily achieve savings potential of as much as 5 percent.

Headlines of energy analytics

  • Market Forecast: Energy Data & Analytics
  • Energy Data Management & Analytics Business Skills
  • Big Data in an Utilities Environment: Real Case Studies
  • Advantages of Big Data & Analytics: Smart Metering & Cloud Computing
  • Innovative Solutions & Technologies
  • Data Analytics in a Smart Grid Perspective - DONG Energy Case Study
  • Big Data in the TSO Business
  • Achieving Benefits From Smart Meters Deployment With Advanced Analytics - Return on Experience From Large Scale Deployments in the US
  • Smart Grid Cybersecurity, Frameworks and Standards
  • Adopting Open Source Software in Energy Analysis
  • Data Analytics: The Backbone of the Emerging Smart City

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