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Python (programming language)
Python is an interpreted, high-level and general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its not... moreable use of significant whitespace. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.
PythonParadigmMulti-paradigm: functional, imperative, object-oriented, structured, reflectiveDesigned byGuido van RossumDeveloperPython Software FoundationFirst appeared1990; 30 years agoStable release
Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly, procedural), object-oriented, and functional programming. Python is often described as a "batteries included" language due to its comprehensive standard library.
Python was created in the late 1980s as a successor to the ABC language. Python 2.0, released in 2000, introduced features like list comprehensions and a garbage collection system with reference counting.
Python 3.0, released in 2008, was a major revision of the language that is not completely backward-compatible, and much Python 2 code does not run unmodified on Python 3.
The Python 2 language was officially discontinued in 2020 (first planned for 2015), and "Python 2.7.18 is the last Python 2.7 release and therefore the last Python 2 release." No more security patches or other improvements will be released for it. With Python 2's end-of-life, only Python 3.5.x and later are supported.
Python interpreters are available for many operating systems. A global community of programmers develops and maintains CPython, a free and open-source reference implementation. A non-profit organization, the Python Software Foundation, manages and directs resources for Python and CPython development.
Option c is the correct answer because Masternodes play an important role on the Dash network as they support the infrastructure that enables specific functions to work. Essentially a masternode is an online computer that runs a dash wallet helping the network make important decisions, such as locking transactions with InstantSend, coordinate mixing of coins, and voting on budget funding. A master... morenode is required to have 1000 Dash as collateral, a dedicated IP address, and be able to run 24 hours a day with minimal connection loss. 45% of the block reward gets paid to masternodes on every block, which is then distributed to masternodes one at a time. Masternodes enable the following services:
InstantSend (instant transactions). In contrast, Bitcoin takes about 10 minutes to confirm a payment.PrivateSend (anonymous transactions). In contrast, Bitcoin transactions are totally public and traceable. Only the identity of the addresses is anonymous.Decentralised Governance (masternodes govern, while the blockchain funds development). In contrast, Bitcoin is controlled by a few big miners and funded by 3rd party centralised institutions with self interests.Dash Evolution a decentralized payment processor (think a decentralized Paypal).
Masternodes are also given voting rights on proposals. Each masternode has 1 vote and this vote can be used on budget proposals or important decisions that affect Dash. For a complete list of current proposals please click here.
What Are Masternode Shares?
Masternode shares are for those that can’t afford to purchase the 1000 dash that are required to run a masternode. Masternode shares allow users to accumulatively meet the 1000 dash requirement of a masternode. This is achieved by utilising a 3rd party service that pools together the funds and sets up the masternode for the shareholders. The service provider then splits up the masternode rewards and pays it out to all shareholders of that masternode. Remember that by purchasing shares in a masternode, you are putting trust into the 3rd party service, so please do your own due diligence before purchasing. Dash Masternode Service Providers.
Finding such subtle bugs is the most challenging work and it gives you the satisfaction of your work. Also, it should be rewarded by seniors. I will share my experience of one such subtle bug that was not only difficult to catch but was difficult to reproduce also.
I was testing one module from my search engine project. I do most of the activities of this project manually as it is a bit... more complex to automate. That module consists of traffic and revenue stats of different affiliates and advertisers. So testing such reports is always a difficult task.
When I tested this report it was showing the data accurately processed for some time but when tried to test again after some time it was showing misleading results. It was strange and confusing to see the results.
There was a Cron (Cron is an automated script that runs after specified time or condition) to process the log files and update the database. Such multiple crops are running on log files and DB to synchronize the total data.
There were two Crons running on one table with some time intervals.
There was a column in the table that was getting overwritten by other Cron making some data inconsistency. It took us a long time to figure out the problem due to the vast DB processes and different Crons.
My point is trying to find out the hidden bugs in the system that might occur for special conditions and causes a strong impact on the system. You can find such a bug with some tips and tricks.
So what are those Tips:
#1) Understand the whole application or module in depth before starting the testing.
#2) Prepare good Test Cases before start to testing. I mean give stress on the functional test cases which include the major risk of the application.
#3) Create sufficient Test Data before tests, this dataset includes the test case conditions and also the database records if you are going to test DB related application.
#4) Perform repeated tests with the different Test Environment.
#5) Try to find out the resulting pattern and then compare your results with those patterns.
#6) When you think that you have completed most of the test conditions and when you think you are tired somewhat then do some Monkey Testing.
#7) Use your previous Test Data pattern to analyze the current set of tests.
#8) Try some Standard Test Cases for which you found the bugs in some different application. Like if you are testing input text box try inserting some HTML tags as the inputs and see the output on display page.
#9) Last and the best trick is to try very hard to find the bug. As if you are testing only to break the application!