How To Check Versions Of NLTK, Scikit-learn And Other Python Libraries
This article will tell you how to check the versions of NLTK, scikit-learn and other libraries in Python, so you can keep abreast of the changes.
Learn more →Analytics for the 21st Century Workforce
Python is a widely-used programming language with interpreted, object-oriented, with dynamic semantics. It has existed since the late 1980’s and has grown rapidly with the rise of data analysis and machine learning libraries such as Pandas, Scikit-Learn, Statsmodels and other supporting open source libraries that enable its usage. All of these important features come despite Python’s relative slowness compared to high-performance languages such as C and Java.
It is widely available for use on the main operating systems such as Mac OS, Linux, and Windows. The library is supported by a large base of users with Python 2.7, which will be sunsetting in the years to come, for Python 3. Its primary support through ongoing maintenance and enhancements comes from the Python Software Foundation (PSF). The PSF’s mission is highly beneficial to Python as they commit to:
“The mission of the Python Software Foundation is to promote, protect, and advance the Python programming language, and to support and facilitate the growth of a diverse and international community of Python programmers.” – PSF Mission Statement
For beginners getting started with the language, and hopefully on their path to data analysis using Python, there are great materials to start writing available on its main website. One very important resource to Python developers and analysis is the Python Package Index, which contains a listing of the massive amount of projects created to support the Python language (over 100k!).
Python is supported on Amazon Web Services, Google Cloud Platform, and other cloud technologies for application and analytical tool development.
This article will tell you how to check the versions of NLTK, scikit-learn and other libraries in Python, so you can keep abreast of the changes.
Learn more →In this chapter, we will learn to develop a proper data pipeline to move a file from the SFTP server to the GCP server in Python.
Learn more →Paramiko is a Python interface built around SSHV2 protocol. It is being used for developing client and server application following SSHV2 protocol.
Learn more →In addition to machine learning, scikit-learn allows users some very useful functions. Let’s learn about these features in this article.
Learn more →Scikit-learn is one of the most popular machine learning libraries and has all the features which can be used to create an end-to-end ML solution.
Learn more →In this tutorial, you will learn how to upload single and multiple files to an SFTP server using the pysftp library in Python.
Learn more →As soon as you want to work with an SFTP server, it is essential for you to learn to download files from it. In this tutorial, you will learn how to establish a connection to an SFTP server and download files using pysftp.
Learn more →Scikit-learn is perhaps Python’s most useful machine learning library. Regression, dimensionality reduction, classification and clustering are only a few of the useful methods in the sklearn library for statistical modeling and machine learning.
Learn more →The Python Statsmodels Library can be used to run statistical tests, explore data and estimate different statistical models.
Learn more →Here’s how to establish a connection with an SFTP server using the pysftp library in Python, and the challenges faced in the process.
Learn more →