But I’m getting ahead of myself. The wetsuit fit perfectly, although the first time I tried it on I did it backwards. Bu

One of the cool Python features is the comprehension technique. Even for beginners, list comprehension is probably one of the advanced techniques that they’ve heard of. The purpose of using list comprehension is to create a list object using an iterable in a very concise way. As a matter of fact, I used the list comprehension in the previous section to create this list of squares:

It all begins with a cow according to Abhinav. “We tend to think that for the Vedic ecosystem to revive, we need to teach our children Sanskrit, teach them the Vedas, teach them shlokas, take them to temples, and conduct various ceremonies but actually, all you need is a cow,” he explained. “Other things follow naturally and before you know you it, you are a part of a Vedic ecosystem.”

In the initialization method (i.e. __init__), we set the protected attribute (_profile_data) to be None, which simply serves as a placeholder. In many cases, we don’t really need the profile data.

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If we don’t use list comprehension, we can use a for loop to iterate the range object and append the square to the list object. In the end, both lists have the same items. However, list comprehension is apparently a more concise way to create list objects and should be the preferred way to create a list object if we start with an iterable.

“You are creating something big,” I told Abhinav. “You’ve no idea of the enormity of what you are doing. You are connecting everyone to Gau Mata, to soil, to Yoga, to Mahayajnas, to knowledge, to the world’s most ancient civilization…and all in America!”

Compared to the list counterpart, the generator has only a tiny fraction of the size that the list occupies (96 bytes vs. 9,000 bytes). However, both achieve the same effect — the sums of both are equal.

Virtual environments are a way that we can create isolated workspaces for our projects such that they can have different Python versions and distinct dependency requirements.

People turned up in good numbers at Texas Gaushala to celebrate the festival, each bringing a bhog dish which ultimately added up to more than a hundred dishes! Volunteers had created an elaborate Krishna out of cowdung as per tradition and they decorated it with colours and a variety of accessories. The atmosphere was like nothing I had experienced before. It was like India but not like India. It felt familiar but yet so new! There was a feast after the puja when all the bhog was savoured by visitors.

Abhinav has also received enquiries from a psychologist who wishes to experiment with cow therapy. In recent times there has been much focus on therapeutic contact with animals such as horses, goats, dogs, cats and dolphins. In October, BBC carried a new piece mulling on cow hugging as a new wellness trend. People reported benefits from leaning against cows, giving them a rub, hugging them and even getting licked by them. But the spiritual presence of cows has been known to Indians for millennia. In the ancient gurukulas of India where students lived in the ashrams with their gurus, one of their tasks was to tend to cows. Spending time with cows gave them deep spiritual insights. Even today, the gurukulas in India often have an attached gaushala where the children frolic with cows.

However, if we do need to get the profile data, we can wrap it around a property decorator. It will check if the _profile_data is None or not, and it will only run the expensive web request when we don’t have data for the _profile_data attribute.

The parikrama was led by the oldest person present while Abhinav sang traditional songs. Most people present were unfamiliar with the songs native to Vrindavan and Mathura. Perhaps, the coming years will create an interest in learning folk songs.

For one example, we can have lazy attributes for our custom class instances. The following code shows you how we can use the property decorator to realize this functionality (please feel free to explore the @cached_property decorator in the functools module for a similar effect):

For another example, generators in Python also take advantage of the lazy evaluation technique. As you may know, generators are a special kind of iterator that render elements when they’re requested. Unlike some common iterators created from lists and dictionaries, generators don’t have all of their elements loaded in the memory, and thus they’re very memory-efficient. It’s all because they hold the state of the iteration and “lazily” render the next applicable item. The following code shows you related usage of generators:

All his life, Abhinav wanted to wake up at the holy hour of Brahma Muhurta but his busy working lifestyle did not allow him to do that. Yet, when he started his first gaushala in Aligarh, his eyes would miraculously open at the holy hour without even trying. And like magic, things started happening — it was if the cow was pulling together those same invisible strands that had once made India into a spiritual, cultural and economic powerhouse.