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spyder python

An Introduction to Spyder Python IDE

Why Python? Python is preferred by most data scientists and software developers because of the various functionalities provided by python and the best among those is its open-source feature. Anyone all over the globe can create their own package and make it public for others to use and hence improving the python backend on a […]

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uses of python

50 Python Interview Questions

1.How to convert string to integer in python?  A string is a sequence of characters. It is a derived data type. Strings are immutable.  This means that once defined, and they cannot be changed. Many Python methods, such as replace(), join(), or split() modify strings. However, they do not modify the original string. They create a copy of a

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categorical data

Understanding Categorical Data | What is Categorical Data?

Feature engineering is a crucial step in building a performant machine learning model. Understanding categorical variables and encoding those variables with the right encoding techniques is paramount during the data cleaning and preparation stage. A survey published on Forbes says that Data preparation accounts for about 80% of data scientists’ work. Data scientists spend 60%

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web scraping tutorial

Web Scraping Tutorial – A Complete Introduction

Getting Started with Python What is Python? Python is a general-purpose, high-level, and very popular scripting language. It was released in 1991 and was created by Guido Van Rossum. Python is quite appreciated for its sleek syntax and readable code, and Python suits you better if you are just starting your programming career. While other

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pandas cheat sheet

Pandas Cheat Sheet | Python Pandas Cheat Sheet

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rest api python

What is Rest API in Python? How to create web APIs with Python?

Contributed by: Akash Mishra Rest (Representational State Transfer) API Python framework is a set of utilities based on werkzeug to easily build Restful API. It is easy to configure and extends with ease. It does not decide how the data can be rendered, nor any other decision. Instead, it’s an easily extensible architecture to build

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Latent Dirichlet Allocation

Understanding Latent Dirichlet Allocation (LDA)

Contributed by: Arun K Sharma Imagine a large law firm takes over a smaller law firm and tries to identify the documents corresponding to different types of cases such as civil or criminal cases which the smaller firm has dealt or is currently dealing with. The presumption is that the documents are not already classified

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