Contrary to speculation, The Atlantic did not come up with the idea for this story and “assign” it to me. The idea for t

s and reflections’ built my self-projection: the picture that I had constructed of myself with regard to who I wanted to become. And during the years that followed, I therefore committed to a number of actions that, ideally, would lead me to become the person that I self-projected in my mind at that time. For example, in order to fulfil the image of the classic car collector, I knew I had to get a good job in order to make enough money to be able to one day buy one of those cars. And in order to get a good job I knew I had to study hard and at a good university. And admission to such university required strong grades. And in turn a lot of studying during my high school years, etc. etc.

Individually these functions might look innocent but will definitely come in handy in a Time-limited coding environment in the sense that they offer large functionality in a very short amount of code. The functionalities discussed have very specific applications and act like a Shortcut or a cheat-sheet in competitive coding. Having these useful tricks up your sleeve might just give someone the competitive edge that they were looking for. Thanks for reading this article, you can follow me on medium.

In his first publication, Bill Bengen has analyzed the three largest stock-market declines since 1926 which have occured in 1929–1931, 1937–1941 and 1973–1974. During these periods, the stock market declined by 61%, 33% and 37% respectively. Bill has then run a scenario of a portfolio made of 60% in stocks and 40% in bonds and different withdrawal rates for someone who have retired every year since 1926. He concluded that an absolutely safe withdrawal rate of 3% ensures a portfolio longevity of 50 years and that for a portfolio longevity of 30 years, 4% is more adequate. There was no period in the history of the stock market where one would have exhausted their portfolio with a 4% withdrawal rate in less than 30 years. This was the birth of the 4% rule.

This function is a sneaky little shortcut that allows us to implement a simple function on a list of values in a very Unconventional Manner. The following example will give a simple application of this functionality. The function takes as parameters the function name and the name of the list the function needs to be applied upon.

I live in Fairfield County. I saw this story unfolding all around me and I wanted to capture what I saw. Parents were spending hundreds of thousands of dollars and upending their lives in pursuit of a recruited-athlete pathway that seemed increasingly chaotic and elusive. Kids were giving up school and friends and participation in music and the arts in order to strap themselves into rowing machines or practice drop shots for hours on end. Worse, the extreme expenditure on niche sports in communities like Greenwich and Darien appeared to be exacerbating inequities in athletics and leading to decreased opportunities for kids from poor and middle-class backgrounds.

I am sharing these additional details about my reporting in the hope that readers — especially young athletes — who were moved by the piece and felt it accurately depicted their world will continue to speak out about their experiences and seek redress for the problems I tried to bring to light.

Dictionary in python is a fascinating data structure that has many advantages. They are stored as a key and value pair in the form of a list like structure. Each value can be accessed with its corresponding key. The zip function is used to join two lists together or we can even join the key and value pairs in a dictionary together as a single list. The application of this concept will be made clear in the following code snippet.

Look at the second element of each tuple. The value 1 occurs for 5 times which is the most common element. So that the value and count pair of 1 is the first element. The Counter() takes number of most common elements we need to print. It is a quick way to access the problems such as second most common element in a list.

The first line of output gives 3 of the largest numbers present in the list grades. Similarly the second line of output prints out 4 of the smallest element present in the list grades. Another specialty of this function is that it does not overlook repetitions. So in place of n if we were to place the length of the array we would end up with the entire sorted array itself.

I spent just under a year reporting and writing this story. I interviewed 117 parents, coaches, admissions counselors and student athletes. I reviewed hundreds of pages of NCAA participation data. I provided all of these interview transcripts and documents to The Atlantic’s research department. The piece was carefully fact-checked. In the days after the article came out, I received dozens of emails from current and former college athletes, coaches, and athletic directors who reached out to say that they agreed strongly with my assessment and hoped the piece would be a catalyst for reform.

This has been a difficult month for me. I wish that I’d had the poise to sit down and write this response a few weeks ago, but I needed some time to catch my breath. Writers are human beings too.

Invented by Bill Bengen in 1994, a financial advisor in Southern California, the 4% withdrawal rule, or the ‘4% rule’ has become the holy grail of those seeking financial independence. It is a calculation that makes sure retirement savings never run out of money by budgeting to spend no more than 4% of the balance of the retirement savings balance in the first year. This calculation has been at the heart of the FIRE movement which stands for Financial Independence Retirement Early. 25 years after his initial publication, Bill Bengen, who has sold his financial planning practise and moved to Arizona, is recommending to change the rule.

Python is one of the programming languages which makes everything easier and straight forward. Anyone who has dabbled in python for competitive coding gets somewhat addicted to its beautiful features. Here is a list of some cool features of Python that I found useful in a competitive coding environment.

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