New Financial Instruments Standards: Understanding the Classification of Financial

The difference between old and new rules -What is the difference between the new financial instrument standards and the old standards?

Difference 1: Change from “four categories” to “three categories”. The following figure compares the classification according to the old and new standards. In fact, the old and new standard classification is about changing the soup, not the medicine.

Difference 2: section basics vary. From the original classification, based on the nature of the contract and the intentions and objectives, to the classification of “business model of business management of financial assets (test of the business model)” and “characteristics of contractual cash flow of assets financial (cash flow test) “.

1. Business model: refers to how a company manages financial assets to generate cash flows. The business model will determine whether the cash flows resulting from the holding of the company’s financial assets are derived from the accumulation of cash under the contract, the sale of financial assets, or both.

This is called a “business model test” to determine which of the three types of business models is available.

2. Contract cash flow characteristics: refers to the cash flow characteristics agreed in the financial instrument contract and which reflect the economic characteristics of the relevant financial assets. For financial assets governed by Articles 17 and 18 of this Standard (New ISA 22), the nature of the cash flows of an entity under a contract must be consistent with the main loan agreements. That is, the cash flows of a contract arising from the relevant financial assets on a particular date are only interest based on the repayment of principal and the amount of principal outstanding.

To determine if a cash flow characteristic meets the above conditions, it is called a “cash flow test (SPPI test)” and if it meets the conditions, it is called a “pass the SPPI test.”

2. Borrowing instruments:

1. Cash accumulation contract (and pass the SPPI test): financial assets measured at amortized cost;

2. Contract for the collection and sale of cash (and pass the SPPI test): financial assets measured at fair value and changes are included in other added income;

3. Others: financial assets measured at fair value and changes are included in current results.

4. Receivables: All initial receivables are recorded in bank First Bank USA Routing Number accounts receivable. According to the new rules, they are divided into financing documents to receive and to receive. Simply put: those used for approval or discount are classified as financial accounts receivable; Those that are planned to be retained until the due date for admission are still noted in the notes to be received. See previous articles for more information: New Financial Instruments Standards: What is Recipient Financing?

5. Financial assets ready for sale: The “triple” investment owned by any entity includes the initial standard at the expense of financial assets ready for sale. According to the new standard, a financial asset measured at fair value and changes should not include gains and losses. Accounting (business asset account). If the non-commercial conditions are met (article 19 of the new CAS 22), you can choose to allocate financial assets measured at fair value and the changes are included in other aggregate income (other investment accounts in equity instruments). It is important to know all the details of the beneficiary financial institution branch account swift code, address, and all that sufficient detail you need to fill on the paper.

6. Interest to receive and pay:

“Interest receivable” refers only to the interest that is due and may accrue on the relevant financial instrument but has not yet been received on the balance sheet date. Interest on a financial instrument calculated using the effective interest rate method must be included in the balance sheet of the relevant financial instrument.

“Interest payable” refers only to interest payable on the relevant financial instrument that has matured but not yet paid on the balance sheet date. Interest on financial instruments calculated using the effective interest rate method must be included in the balance sheet of the corresponding financial instrument.

How to understand the previous two paragraphs, for example, a short-term debt, the interest payment date should be calculated on the 20th of each month, then at the end of the month, usually from the 20th to the end of the month. Matter of accounting for interest in the primary standard: Other interest payable. The subject of this interest calculation under the new standard: short-term loans-interest to be repaid.

1. Wealth management products and structured reserves: they are generally placed in other current assets (long-term assets to be repaid in one year) and other assets based on long-term liquidity according to the initial standard; According to the new standard, it is necessary to transfer the lower layer to the main assets, see each case.

DevOps-Bridge between operations and development

Devops-Bridge between Development and operations

What is DevOps?

DevOps is defined as a set of processes that merges both software development and operations. DevOps reduces the time required for delivering a software product with good quality. It uses tools of CI/CD(Continuous Integration and Continuous Delivery) to deliver a good quality software product. The usage of these tools makes the organisation provide a software product in less duration. They can serve the customers in a better way by solving post-delivery problems(problems which occur after delivering the software f product). Every phase of the software development life cycle is handled in a better way compared to the traditional software development process.

Why DevOps?

Now let us see why many companies are shifting their focus on DevOps. To understand this, first, we should know how software is developed before DevOps came into the market. The following steps explain the process of software development:

1) Identifying the problems: In this phase of SDLC(Software development life cycle) inputs are gathered from stakeholders, customers, industry experts and some programmers. By these inputs, we can know the positives and negatives of the current system, and we can obtain a goal for developing the software.

2) Planning: After fixing the goal, we should develop the best plan to achieve that goal. In this phase, the team will gather the requirements and determines the budget of the software product. It also identifies the risks involved and provides the steps to be taken for reducing those risks. For all these activities, a document known as SRS(Software Requirement Specification) is created.

3) Designing: In this phase, software requirements are converted into a design plan. All the stakeholders who are involved in software development will review the design, and they will give their inputs if necessary. It is essential to gather the inputs from stakeholders regarding the design plan, because failure at this stage may lead to the collapse of the entire project.

4) Developing: In this phase of SDLC, the software is developed by generating the required code. After the successful generation of code, an executable file comes as an output from this phase

5) Testing: After developing the software, it is tested to fix the error or bugs present in that software. Software is tested until it meets the required quality measures.

6) Deployment: After testing the software, it is deployed to limited users.Depending on the feedback from that user’s adjustments are done.

7) Maintenance: After releasing it to the customers, maintenance of the software comes into the picture. Support of software is related to releasing updates of the software, making end-users aware of the features of the software.

The above phases of the SDLC(Software Development Life cycle) describe how software is developed before the invention of DevOps. These steps tell us how every activity of software development is carried out separately. But DevOps combines the development and operations of the software product. Before the DevOps software development team and software testing team is separate, but DevOps combines them, and this improves the collaboration between them.

DevOps combines the development and operations team to solve post-delivery problems. Once the software is delivered to the customer, developers are least bothered about it. After product delivery customers or end-users will communicate with the operations team of the organization. The operations team cannot answer the modifications or defects raised by the customers. This leads to the involvement of the developer in the post-delivery phase. So, DevOps combines these two teams, so that they can serve the end-user in a better way,

How DevOps Works?

In the above section, we discussed that DevOps combines both development team and testing team, let us see how it works. DevOps has many aspects, but the following capabilities make it working successfully, they are:

Collaboration: Instead of rising fingers at each other, development and IT operations team work together. Due to this collaboration, the stake of each team in software development is increased. This leads everyone to work efficiently during the software development process. Not only development and operations teams but all teams, including testing, product management are also combined.

Continuous integration: As DevOps is developed from an Agile environment, we can find continuous integration in the DevOps Environment. Continuous integration merges the source code updates continuously from all the members of the developing team. This integration reduces code conflicts.

Automation: DevOps depends heavily on the tools. DevOps depends on toolchains to automate a larger chunk of the end-to-end software development.

Continuous Testing: In DevOps, testing is not limited to QA team. It starts in the development phase. Developers will define test sets along with quality code. QA team will configure the testing environment, and they will perform the testing activity on the given test sets. In continuous testing, the main objective is to speed up the testing process. Continuous testing will enhance the quality of the software product.

Continuous Delivery: In DevOps, another critical aspect is continuous delivery. Continuous delivery is achieved when changes in code are automatically built, tested and are prepared to deploy or release. Due to this, continuous delivery organizations can have multiple deployments per day. Continuous delivery will also improve the quality of the product.

Continuous Monitoring: In DevOps continuous monitoring team will monitor the software product to identify the root cause of the errors. Continuous monitoring starts in the development phase. The tools which are used in the development phase monitors the product to rectify the mistakes before it goes into the production environment.

Benefits from DevOps

Organizations who have adopted DevOps are gaining the following benefits:

1)Stability: High performing organizations are spending less time on rework; they are spending more time on new work like adding new features to the product.

2)Security: Organizations are spending less time on resolving their security issues.

3)Deployment Speed: High performing organizations have multiple deployments in a day.

Conclusion

Almost after ten years of DevOps invention, we can say that it is a revolution in the software development process. It is a revolution because it has combined every aspect of the software development process into a single workflow which has a common goal of meeting customer requirements. Software developers and system administrators stopped fighting, and they started supporting each other. Business managers are happy as they are able to meet the quality standards. Because of these gains, Devops is ruling the software industry.

Exploring the Versatility of Python: A Multifaceted Programming Language

Python’s Rise to Prominence
Python, created by Guido van Rossum in the 1990s and named after the British comedy troupe “Monty Python,” has become a staple in the programming world. Its readability and efficiency have contributed to its status as one of the top programming languages globally. According to the TIOBE Index for April 2023, Python holds the top position, indicating its significant impact on the industry (TIOBE Index).

Key Features of Python
Python is renowned for its user-friendly syntax and dynamic nature, which facilitate rapid application development. Here are some of its standout features:

Ease of Use: Python’s syntax is clear and intuitive, making it accessible for beginners and efficient for experienced developers.
Productivity: Its concise codebase accelerates the development process.
Scalability and Flexibility: Python is suitable for small scripts as well as large-scale applications.
Cross-Platform Compatibility: It runs on various operating systems, including Windows, macOS, Linux, and mobile platforms like Android and iOS.
Dynamic Typing: This feature simplifies coding by allowing runtime type assignment.
Extensive Libraries: Python’s standard library and third-party modules enhance its capabilities.
GUI Support: It facilitates the creation of graphical user interfaces.
Integration: Python can be easily integrated with other programming languages such as C, C++, and Java.
Python’s Diverse Applications
Python’s applications are vast and varied, extending beyond traditional development roles. Here are some intriguing uses of Python:

Space Exploration: NASA’s Robonaut 2, used on the International Space Station, relies on Python for its command system. The European Space Agency’s Mars mission also utilizes Python.
Finance: Python enables the development of services for cryptocurrency price notifications and blockchain communication.
Scientific Research: The Large Hadron Collider at CERN uses Python for data analysis.
Social Media Analysis: Python can mine Twitter data to answer societal questions.
Astronomy: The MeerKat Radio Telescope, one of the largest in the southern hemisphere, is controlled and monitored using Python.
Entertainment: Film studios use Python to automate production processes, especially in computer-generated imagery.
Streaming Services: Companies like Netflix and YouTube employ Python to manage streaming services.
Healthcare: Python assists in managing medical data and research, such as cancer treatment development.
Machine Learning and Data Science: Python is extensively used for data handling, visualization, analysis, and machine learning algorithms.
Music Industry: Spotify uses Python to stream music to its users.
Robotics: With Python, devices like Raspberry Pi can function as the brain of a robot, enhancing robotics applications.
Python in the Professional Sphere
Python’s popularity is not just limited to individual programmers; it is also a preferred language for startups and established companies. For instance, Google uses Python as one of its main server-side languages, and Instagram and Spotify leverage it for data analysis and backend services. The growth of Python web development companies in the USA outpaces those focused on other programming languages, demonstrating the language’s business effectiveness.

Conclusion
Python is a gateway to innovation for beginners and seasoned developers alike. Its wide range of applications and features make it an invaluable asset in the tech-oriented world. For those looking to start with Python, the latest version, Python 3, is recommended for optimal performance. The true potential of Python lies in the creativity and research invested in leveraging its capabilities to create groundbreaking technology. Your feedback and contributions to this discussion are welcome, so feel free to leave a comment below and share your insights on this versatile programming language.