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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 ...

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

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...