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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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Maximizing Your SAP HANA Skills: Top 5 Course Contents to Consider

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You can find SAP HANA course contents for your quick reference. You can download as a pdf. Before you take a course these are the contents you need to learn.


Module#1. SAP HANA Introduction and Architecture


  • SAP HANA Overview 
  • SAP In-Memory Computing Overview 
  • SAP HANA Features 
  • Look and feel of SAP HANA 
  • SAP HANA Architecture 
  • SAP HANA Landscape 
  • Structure of SAP in-memory Computing studio 
  • Row store and column store Architecture 
  • Multi Version Currency Control(MVCC) 
  • Persistence Layer in In-memory Computing Engine 
  • Back up &Recovery 
  • High-Availability 
  • Distributed System 
  • Data Provisioning options in SAP HANA 
  • Reporting options on SAP HANA 
  • Security options in HANA 
  • SAP HANA Appliance Model 
  • How SAP HANA Appliance is delivered 
  • Sizing Considerations 
  • SAP HANA –Licensing Options 
  • SAP HANA Project Implementation 
  • Overview: Key Activities 
  • Key Roles 
  • Key Points to keep in mind 
  • Administration


Module#2. Basic Modeling


  • Modeling Overview
  • Terminology
  • SAP HANA Studio Features
  • Information Modeler Overview
  • Installation and Configuration of HANA Studio
  • Prerequisites for Modeling
  • Modeling Considerations
  • Levels of Modeling
  • Attribute Views
  • Analytic Views
  • Modeling Considerations
  • Joins: Different types and when to use what.
  • Where Class Vs Constraint Filters
  • HANA Studio Preview(use with Caution)
  • Impact of Query Execution
  • Demo
  • Modeling Suggestions
  • Troubleshooting Modeling Issues
  • Export and Import Models
  • Analytics Option on HANA
  • HANA Reporting Layer & Connectivity Options
  • Reporting on HANA Clients
  • Reporting on HANA Open Interfaces
  • Prerequisites for reporting on SAP HANA
  • IMDB client installation
  • Setting up new connection
  • SAP Business Objects BI4.0:Overview & tool comparison
  • Analytical Reporting on HANA
  • Relational Reporting on HANA
  • Reporting on HANA Demo Included
  • Native Excel Interface via ODBO
  • SAP Business Object Analysis(Office Edition)
  • SAP Business Object Explorer
  • Semantic Layer Approach
  • IDT Vs Universe Designer
  • SAP BOBJ Web I
  • SAP BOBJ Xcelsius
  • SAP Crystal Reports
  • Enterprise Vs 2011
  • Front end tool reporting considerations on top of HANA
  • Troubleshooting common reporting issues


Module#3. Advanced Data Modeling with SQL Script


  • Modeling Overview 
  • Calculation View :Overview & Types 
  • SQL Script :Motivation 
  • SQL Script: Overview 
  • SQL Script Processing 
  • Data Type Extensions 
  • Scalar Data type 
  • Table type 
  • Functional Extension 
  • Concept 
  • Procedure 
  • Procedure Calls 
  • Implementing Functional logic 
  • Operators 
  • SQL Script/Built in Function 
  • Debugging and troubleshooting SQL Script 
  • Restrictions for SQL Statement


Module#4. Data Provisioning: Data Services and Sybase Replication


  • Data Provisioning :Overview 
  • Data Provision Options 
  • Trigger Based Replication 
  • ETL-Based Replication 
  • Log-Based Replication 
  • SAP Business Objects Data Services 4.0 and HANA 
  • ODP enabled Extractor Support in Data Services 4.0 
  • HANA and Data Service Process flow for SAP and non-SAP data 
  • How it works for SAP System 
  • How it works for Non-SAP System 
  • Advanced Data Service options 
  • Column tables creation 
  • Bulk loader options & configuration 
  • Bulk extracting options & configuration 
  • Log based replication overview 
  • Technical system landscape 
  • User administration 
  • Authorization 
  • Installing log based replication 
  • Updating the SAP host agent on source system 
  • Installing Sybase components 
  • Deploying the SAP HANA load controller and related components 
  • Configuring log based replication 
  • Configuring Sybase components 
  • Sybase replication server 
  • Enterprise connect data access(ECDA) 
  • Sybase replication agent 
  • Test Sybase components 
  • Configure SAP HANA load controller on SAP HANA system 
  • Initializing replication using SAP HANA system 
  • Initializing replication using SAP HANA load controller
  • Module#5. DATA PROVISIONING: SAP LANDSCAPE TRANSFORMATION (SLT)
  • Data provisioning overview 
  • SAP landscape transformation set-up 
  • Options for SLT landscape installation 
  • Post installation stem 
  • Concept of SLT replication 
  • Architecture and key building block 
  • Technical requirement and system set-up information for LT replication server 
  • Key benefits of LT replicating server 
  • Transformational capabilities 
  • Operations 
  • Security and user management in HANA 
  • Creation of users 
  • Creation of roles 
  • Assignment privileges to roles

 

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