Featured Post

Python Set Operations Explained: From Theory to Real-Time Applications

-
Image
A  set  in Python is an unordered collection of unique elements. It is useful when storing distinct values and performing operations like union, intersection, or difference. Real-Time Example: Removing Duplicate Customer Emails in a Marketing Campaign Imagine you are working on an email marketing campaign for your company. You have a list of customer emails, but some are duplicated. Using a set , you can remove duplicates efficiently before sending emails. Code Example: # List of customer emails (some duplicates) customer_emails = [ "alice@example.com" , "bob@example.com" , "charlie@example.com" , "alice@example.com" , "david@example.com" , "bob@example.com" ] # Convert list to a set to remove duplicates unique_emails = set (customer_emails) # Convert back to a list (if needed) unique_email_list = list (unique_emails) # Print the unique emails print ( "Unique customer emails:" , unique_email_list) Ou...
Post a Comment

5 Things Mainframe Programmers Must Know About NetCOBOL

-
NetCOBOL is an open platform COBOL development environment which takes advantage of the features of mainframe COBOL. It is ready for the latest technology and a state-of-the-art environment as well. NetCOBOL is a trademark or registered trademark of Fujitsu Limited.
NetCOBOL
NetCOBOL

NetCOBOL

  • It is available in both 32 bit and 64 bit 
  • Net COBOL claims compatibility with other COBOL Compilers like VS COBOL, OS/VS COBOL and Micro Focus COBOL. 
  • Provides a debugger and complete integrated development environment(IDE) with COBOL. 
  • Provides IP tools like Power COBOL (These tools help Developer to build Windows biased GUI Apps) and PowerBsort. 
  • It supports databases like Microsoft SQL Server, Oracle, and Pervasive SQL. 
  • Claims to support native SQL Calls “EXEC SQL” within Net COBOL. 
  • It supports Betrive Files as well. 
  • Support Both Modern IDE (Eclipse Plugins for Linux and VS IDE plug-in for Windows) 
  • Linux Version of Net COBOL also supports JAVA, C, C++, and Python. 
  • Windows Version of Net COBOL also supports .net. 
  • It also supports Unicode Code set. 
  • It also supports Object-Oriented COBOL.
Platforms for NetCOBOL:
  1. Windows – Net COBOL for Windows
  2. Linux(RHEL6) - Net COBOL for Linux
  3. SPARC – Net COBOL for SPARC
  4. Cloud (Microsoft’s Azure) - COBOL for .net

Features

  1. NetCOBOL complies with International Standard, industry standard specifications, and ordinary standard specifications, which enables stable operation and expansion of key system for the future. Existing skills on COBOL and know-how of mainframes help you a lot.
  2. "NetCOBOL Studio," a COBOL development environment based on Eclipse which is an open-source integrated development environment, has been built into NetCOBOL for Windows, and Microsoft "Visual Studio" has been built into NetCOBOL for .NET as a development environment for .NET Framework. 
  3. COBOL Integrated Development Environment (IDE) allows the improvement of efficiency of the whole development process including design, programming, testing, and maintenance. It enables program development linking with the latest technologies from batch to Web applications. 
  4. NetCOBOL is suitable to use with the latest technologies such as .NET, Java, and XML.
  5. The "PowerBSORT" speeds up sorting and merging the data. 

Comments

Post a Comment

Thanks for your message. We will get back you.

Popular posts from this blog

SQL Query: 3 Methods for Calculating Cumulative SUM

-
Image
SQL provides various constructs for calculating cumulative sums, offering flexibility and efficiency in data analysis. In this article, we explore three distinct SQL queries that facilitate the computation of cumulative sums. Each query leverages different SQL constructs to achieve the desired outcome, catering to diverse analytical needs and preferences. Using Window Functions (e.g., PostgreSQL, SQL Server, Oracle) SELECT id, value, SUM(value) OVER (ORDER BY id) AS cumulative_sum  FROM your_table; This query uses the SUM() window function with the OVER clause to calculate the cumulative sum of the value column ordered by the id column. Using Subqueries (e.g., MySQL, SQLite): SELECT t1.id, t1.value, SUM(t2.value) AS cumulative_sum FROM your_table t1 JOIN your_table t2 ON t1.id >= t2.id GROUP BY t1.id, t1.value ORDER BY t1.id; This query uses a self-join to calculate the cumulative sum. It joins the table with itself, matching rows where the id in the first table is greater than...
Read more

Big Data: Top Cloud Computing Interview Questions (1 of 4)

-
Image
The below are frequently asked interview questions on Cloud computing: 1) What is the difference between Cloud and Grid? Grid: -Information service -Security Service -Data management -Execution Manageement Cloud: - Maintains up-to-date information of resources -Create VMs according to user requirement -Application deploment -User management 2) What are the different cloud standards? -Interoperability standards -Security standards -Portability Standards -Governance and Risk standards 3) What are the two different sub-systems in Cloud computing ? -Management sub system -Resource sub system 4)What is Cloud compouting? The promise of cloud computing is ubiquitous access to a broad set of applications and services, which are delivered over the network to multiple customer. 5) Why we need specialized network for Cloud services? The public Internet is the simplest choice for delivering cloud-based services. In this model, the cloud provider simply purchases Inter...
Read more

5 SQL Queries That Popularly Used in Data Analysis

-
Image
 Here are five popular SQL queries frequently used in data analysis. 1. SELECT with Aggregations Summarize data by calculating aggregates like counts, sums, averages, etc. SELECT department, COUNT(*) as employee_count, AVG(salary) as average_salary FROM employees GROUP BY department; 2. JOIN Operations  Combine data from multiple tables based on a related column. SELECT e.employee_id, e.name, d.department_name FROM employees e JOIN departments d ON e.department_id = d.department_id; 3. WHERE Clause for Filtering Filter records based on specified conditions. SELECT * FROM sales WHERE sale_date BETWEEN '2024-01-01' AND '2024-12-31'   AND amount > 1000; 4. ORDER BY Clause for Sorting Sort results in ascending or descending order based on one or more columns. SELECT product_name, price FROM products ORDER BY price DESC; 5. GROUP BY with HAVING Clause Group records and apply conditions to the aggregated results. SELECT department, SUM(salary) as total_salaries FROM employ...
Read more