Programming With Python
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Top 10 Python Libraries that Every Data Scientist Must Know
Python is one of the most popular and widely known programming languages that has replaced many programming languages in the industry. It is one of the most loved programming languages that data science professionals use more because it is an ocean of libraries.
Python is known as the beginner’s level programming language because of its simplicity and easiness, its programming syntax is simple to learn and is of high level compared to C, Java, and C++.
For more accurate algorithms and coding, Analytics Insight compiles the top 10 Python libraries, here is the list-
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Why Python is not the programming language of the future -- a response
See https://towardsdatascience.com/why-python-is-not-the-programming-language-of-the-future-30ddc5339b66.
This is an interesting article with some important points. And. It has some points that I disagree with.
Speed. This is a narrow perspective. numpy and pandas are fast, dask is fast. A great many Python ecosystem packages are fast. This complaint seems to be unsupported by evidence.
Dynamic Scoping Rules. This actually isn't the problem. The problem is something about not being able to change containing scopes. First, I'm not sure changing nesting scopes is of any value at all. Second, the complaint ignores the global and nonlocal statements. The vague "leads to a lot of confusion" seems unsupported by any evidence.
Lambdas. The distinction between expressions and statements isn't really a distinction in Python in general, only in the bodies of lambdas. I'm not sure what the real problem is, since a lambda with statements seems like a syntactic nightmare better solved with an ordinary, named function.
Whitespace. Sigh. I've worked with many people who get the whitespace right but the {}'s wrong in C++. The code looks great but doesn't work. Python gets it right. The code looks great and works.
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How to Extract Sentences from Text Using the NLTK Python Module
The Natural Language Toolkit (NLTK) is a language and text processing module for Python. NLTK can analyze, process, and tokenize text available in many different languages using its built-in library of corpora and large pool of lexical data. Python is one of the most popular programming languages used in data science and language processing, mainly due to the versatility of the language and the availability of useful modules like NLTK. This article will explain how to extract sentences from text paragraphs using NLTK. The code in this guide has been tested with Python 3.8.2 and NLTK 3.4.5 on Ubuntu 20.04 LTS.
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I Wrote an Online Escape Game
I’m an escape room enthusiast, some may say addict, and for the past few months I’ve been missing it. A friend of mine, a true addict with over 500 rooms to his name, started organizing online competitions. After playing a few of the online games, I thought, “I want to build my own.”
So for that past couple of months I’ve been writing an online escape game — which you could say is a web puzzle game, but with the exciting flare of escape! It’s suitably called “Prototype”. I assumed that name would let me get away with some rough edges. This will be an evolving project, but the first installment is a success.
I’m proud of my game. I want to tell you how I made it.
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Newsletter August 2020
This month we kept refining existing features to improve the user experience, smooth workflows and empower users.
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Python ASGI CLI
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Weekly Python StackOverflow Report: (ccxxxviii) stackoverflow python report
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A Hundred Days of Code, Day 023, Day 24 - Tiny Utility to do comparative DNS Lookups
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