Set O Application 2014: Fill & Download for Free

I scored 310 in my April MainsI solved as many mock papers as I could. Apart from the test series of my coaching I solved papers from past years that included all the 8 papers in January and all the offline mains from 2014 .Also I had a habit of solving questions along with a timer i.e. when I used to solve my package then I used to set a timer and set a time in which I thought that I would be able to solve the questions. This habit not only helped me to differentiate between tough and easy questions but also helped me in building a mindset to solve questions in time along with some pressure.I read all my class notes nearly 2–3 times just before my mains i.e. in the span of 1 week or so. Because of this I nearly remembered all the formulas that are required in mains. I also solved questions of those chapters in particular in which I had less confidence, by questions I mean mains level questions which only required formula application and a little thought process, by doing this I had confidence that I would be able to solve the easy questions from these chapter. I also learner rather RATTA MAR DIYA THA the whole inorganic ONLY by NCERT by heart.Now that accounts to 60–70% of your prepI then focussed on my sleep cycle and started sleeping around 11 'o clock because I had my exam in the morning shift so I had to prepare myself for that as as I was a night owl. Also I boosted my confidence by remembering all the good moments which included the test in which I scored good marks and the moments I spent with my friends after coaching. Also I started walking around half an hour alone or with my brother, this helped me divert my mind from all negative thoughts.Best of luck 👍

The Bar Council of India (BCI) issued the Certificate of Practise and Renewal Rules issued in 2014 stating that to be enrolled as a Supreme Court lawyer, an advocate has to fulfill certain conditions. The conditions are listed below:o For lawyers who want to be registered as Supreme Court Lawyers, they must have a post qualification experience of 5 years which must include 3 years of practice in the trial court, 2 years in High Court. After that, he must take training under an Advocate on Record (registered Supreme Court Lawyer).o Supreme Court Advocate-on-Record Exams:Who has such post qualification experience, can appear for the examination conducted and regulated by the Board of Examiners who are governed and regulated by the Supreme Court.On clearing the examination, the lawyer must have a registered office within a radius of 10 miles from the Supreme Court of India and must have a registered clerk in the office.As Supreme Court is the Highest Court of practice for a lawyer, it is not that easy to get enrolled. As per a study conducted, more or less around 18% of the total appearing candidates qualify in this examination.The examination is held every year in May-June.The details are as follows regarding the format of examination and passing criteria:o It is a 3 hours examinationo The examination is taken on 4 papers conducted on 4 dayso The total marks is 100, and the total number of questions is 27 which is divided among four papers.o The candidate has to obtain at least 50% marks in each paper and 60% in aggregate to qualify.o If a candidate obtains less than 50% in a paper but obtains 60% in aggregate, then such a candidate can rewrite that particular paper in the subsequent examination paying the total examination fees.o If a candidate obtains 50% in each paper but fails to obtain 60% in aggregate, then in such a situation the candidate can rewrite any one paper of his/her choice in the subsequent examination by paying the full examination fee.o A candidate shall get a maximum of 5 chances to appear for the examination. Appearing for one paper too is counted as a chance.o The four sets of paper syllabus consist of -PRACTICE AND PROCEDURE OF SUPREME COURT - important provisions of the constitution of India relating to the jurisdiction of the court, such as Supreme Court Rules, Civil Procedure Code, Limitation Act, and Court Fees ActDRAFTING - special leave petition, decrees, orders, writs, the petition of appeal, plaint and written statement, review petition, transfer petition, contempt petition, interlocutory applications, miscellaneous petitions for bail, condonation of delay, exemption from surrender, application for revocation of special leave, etc.ADVOCATE AND PROFESSIONAL ETHICS - Advocates Act, cases related to contempt of Court, Bar Council of India Rules, Supreme Court Rules.LEADING CASES - This includes the verdicts of the cases which made changes in the existing law, by amend, repeal or adding up of provisions.___________________________The candidate passing the AOR examination shall be designated as Advocate on Record and have the exclusive power to file the cases for clients before the Supreme Court of India.

Python is one of the most versatile language. You can use Python in various use cases e.g. embedded programming, web servers, UI templates, Data analytics / engineering and machine learning. The language has huge community support and new developments / improvements are always on going. I am using python for several years now and I am quite satisfied with it.However there are several downsides that I have discovered while working with it. I will specifically discuss CPython as it is one of the most popular general purpose implementation:Python 2.7 will be disowned: Python 2.7 will no longer be officially supported by January 1, 2020. In 2014 python maintainers announce that they will no longer support python 2.7 after January 1, 2020. To be fair they have gives users enough time to migrate their code from python 2 to 3. However there are several companies which still run their production code in python 2.7 and believe me migrating from 2.7 to 3.x is not an easy job(Considering the fact that these are pretty old systems). They need to allocate several engineers to undertake this adventure. Of course they can continue using 2.7 but if they discover a bug or a security flaw, they will be on their own.GIL: GIL(Global Interpreter Lock) is a concept in compilers. GIL is a mutual-exclusion lock which is held by interpreter thread to safely run code that is actually not thread safe. This lock is necessary for python since its memory management is not thread safe. GIL ensures that different threads in application are executed serially. So if you write a multi-threaded application and run it on multi-core system, you cannot run all or some of them in parallel due to the lock acquired by GIL. This phenomenon puts a serious question mark on Cpython’s ability to run multi-threaded applications. There are other implementations of Python which handles this problem and allow efficient execution of multi-threaded applications. Also do note that GIL is not applicable on applications that uses multiprocessing.Subtle cravats of language: There are several concepts in python which are difficult to grasp(especially for the beginners). You might come across these hidden secrets and trust me it will give you really hard time while trying to debug whats wrong. I will present some example[Explanation can be found in comments]:>>> a * 20 is "aaaaaaaaaaaaaaaaaaaa" >>> True >>> a * 21 is "aaaaaaaaaaaaaaaaaaaaa" >>> False  >>> a = {1,2,3} # Initialise a set with members 1,2,3. >>> a.add(True) # Try to Add `True` in the set. >>> a # True is not added to set. >>> {1,2,3}  >>> l = [['a'] * 2] * 2 # Initialise a nested list >>> l  >>> [['a', 'a'], ['a', 'a']] >>> l[0][0] = 'b' # Modify first element of first nested list >>> [['b', 'a'], ['b', 'a']] # All sublists got updated Python Web Frameworks: Python has several web frameworks including minimalistic Flask and batteries included Django. These frameworks have been around for quite some time(especially Django) and a-lot of companies are using these frameworks in production. But today, there are better alternatives available. Some of the popular choices include rust, go, node. These languages have fully functional production ready web frameworks that outperforms Python’s web frameworks. For more details on performance comparison refer to this link. In terms of resilience, scalability and robustness I believe python web frameworks are comparable to its competitors.Python for Data Science / Machine Learning: Python is the home of some very popular DS and ML libraries and frameworks. It is been used extensively in industry as well as in academic research. However some other languages are also appearing in this domain and they in-fact looks quite promising. Julia 1.0 is recently released and getting popular among scientific community. It outperforms Python in scientific computations. Despite of this fact, python still continues to flourish. It would take Julia significant time to offer supporting libraries and frameworks that Python offers currently. On the other hand Scala has already started giving Python some really tough time. Many people are shifting from Python to Scala for DS and ML application development. In terms of performance Scala is pretty fast as compared to Python. For performance comparison please refer to this SO.No Private Class Members: In Python all class members variables and methods are public. Instead Python follows a convention in defining a private members which is explained in PEP8. The reason behind this design decision is summarise as We are all Consenting Adults. However this cause problems in teams with over 100 developers sitting in multiple countries and working in different timezones. Some of these devs are relatively junior and not quite familiar with Python and its conventions. For them we have to explicitly explain that DON’T USE VARIABLES THAT STARTS WITH “__” OUTSIDE CLASS !!Dynamic Nature: This is a good thing as well as bad thing. Python is dynamically typed language which means variable types are determined at run time. Unlike in static typed where variable type is determined at compile time. Static Typing vs Dynamic Typing is a hot topic of debate and we don’t have a winner yet. Dynamic typing allows languages to be more flexible and and adopt with ever changing requirements. The downside of it is slow compilation and execution. All variables types, inheritance, function lookups etc. will be performed at runtime. Also there might be strange runtime errors that can be hard to debug.Slow file I/O on some OS: If you have worked in reading writing files, you might have noticed that same file on different OS takes different time to read or write. The reason is because each OS have different convention for end of line character. In windows it is \r\n, in mac it is \r and in unix its \n. If you open a file in text mode, the line breaks used by the file will be translated to \n when you read them, and \n will be translated to your OS's line break convention when you write. In most programming languages, this is handled on the fly by OS-level code and pretty cheap, but Python does things differently. Python has a concept called universal-newlines which convert all line breaks(even mix of \r\n \r) to a unified line ending which is by default \n. This conversion takes time and hence make the file reading slow.