Deep Learning, NLP, NMT, AI, ML
Python tutorials
Measure of Central Tendency is a summary measure that describes the entire data set with values known as Mean, Median and Mode. These three are the commonly known measures which are used to understand the data.
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We covered C and Python as part of our Sophomore year. We started with another Language, Java, in our Junior year. I thought of sharing my reflections on learning the languages. Photo by
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Financial institutions have long known the limitations of the SIC industry classifications. In this article I use two different implementations of the Cosine Similarity NLP algorithm to alleviate this result. The final result of this study produces a similarity matrix for all of the SIC Industries.
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fast!!!!!! Hello there, in this article we are going to be diving into how to build a language translation api with fastAPI (I really love this framework 😍). Not only that, we
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Part One: The data When looking for projects to boost my data cleaning, exploratory data analysis (EDA) and machine learning skills, I came across the DrivenData website and I was sold. I get to hone my skills and contribute to a social challenge — specifically the
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When you want to build websites as a Python programmer, there’s no way around HTML and CSS. Almost every website on the Internet is built with HTML markup to structure the page. To make a website look nice, you can style HTML with CSS. If you’re interested in web development with Python, then knowing HTML and CSS will help you understand web frameworks like Django and Flask better. But even if you’re just getting started with Python, HTML and CSS […]
Read moreOne of the strengths of Python is that it comes with batteries included: it has a rich and versatile standard library that makes it one of the best programming languages for writing scripts for the command line. But, if you write scripts for the command line, then you also need to provide a good command line interface, which you can create with the Python argparse library. In this video course, you’ll learn: What the Python argparse library is, and why […]
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In August 2022, Python inched closer to the 3.11 release, pandas introduced enhancement proposals, various packages saw new releases, Python extended its lead at the top of the TIOBE index, and PyPI battled malware. Read on for more details about what happened in the world of Python in August 2022! Python Has PEPs, NumPy Has NEPs, pandas Now Has PDEPs The first pandas enhancement proposal (PDEP) was submitted on August 3, 2022, and was entitled Purpose and guidelines. Enhancement proposals […]
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The Python language is in constant development. A new version is released annually in October to great fanfare. Before these stable releases, you can preview the new features by installing a pre-release of Python. Volunteers worldwide work on developing Python by updating the documentation, reporting issues, suggesting and discussing improvements, fixing bugs, and implementing new features. You can join this work and contribute to the efforts. The best way to start getting involved in the development of Python is to […]
Read moreFunctions are the building blocks of almost every Python program. They’re where the real action takes place! In your Python Basics journey, you’ve probably encountered functions such as print(), len(), and round(). These are all built-in functions because they come built into the Python language itself. You can also create user-defined functions that perform specific tasks. Functions break code into smaller chunks and are great for defining actions that a program will execute several times throughout your code. Instead of […]
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