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Python Regex: The 5 Exclusive Examples

 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

SAP HANA top Career Options to Find in Job Market

SAP HANA converges database and application platform capabilities in-memory to transform transactions, analytics, text analysis, predictive and spatial processing so businesses can operate in real-time. I have listed the areas on available careers for SAP HANA.


It has completely transformed the database industry by combining database, data processing, and application platform capabilities in a single in-memory platform.

The platform also provides libraries for predictive, planning, text processing, spatial, and business analytics -- all on the same architecture.

This makes it possible for applications and analytics to be rethought without information processing latency, and sense-and-response solutions can work on massive quantities of real-time data for immediate answers without building pre-aggregates.

Simply put -- this makes SAP HANA the platform for building and deploying next-generation, real-time applications and analytics

Operational Analytics

With transactional and analytical data stored together, SAP HANA provides on-the-fly analysis so you can make real-time decisions.

Big Data Capabilities

Crunch petascale data volumes for quick, accurate answers to sophisticated business problems.

Predictive, Spatial and Text Analysis

A powerful suite of predictive, spatial and text analytics libraries can run across multiple data sources



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