Network monitoring and digital forensics are some of the prominent areas in the domain of cyber security. There are a number of software products and tools available in the technology market to guard network infrastructure and confidential data against cyber threats and attacks. . One of the many uses of the versatile Python programming language is in digital forensics and security analysis. This article covers various aspects like socket programming, port scanning, geo-location and extraction of …
Popular article Social network analysis reddit with python tutorialRating: 4.5 / Views: 2266
graph – The network analysis package igraph is a collection of network analysis tools with the emphasis on efficiency , portability and ease of use. igraph is open source and free. igraph can be programmed in R , Python and C/C++ . . Course Description. Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from their data and get a competitive edge.
Python is an elegant, high-level programming language that is relatively easy to learn and includes multiplatform support. The latter feature is important because generally as a developer you would need to learn multiple languages to …. November on /r/DataScience: Plot. ly is open sourced, Pokemon and Big Data games, a new social network analysis package for R, insider information on landing a Google Data Scientist job, and a free data science curriculum.
A picture is worth a thousand tweets: more often than not, designing a good visual representation of our data, can help us make sense of them and highlight interesting insights. After collecting and analysing Twitter data, the tutorial continues with some notions on data visualisation with Python. . An introduction to text analysis with Python, Part 1 Posted on April 4, 2012 by Neal Caren Note: This is the first in a series of tutorials designed to provide social scientists with the skills to collect and analyze text data using the Python programming language.
Examples, documents and resources on Data Mining with R, incl. decision trees, clustering, outlier detection, time series analysis, association rules, text mining and social network analysis. . In this chapter, we focused on pandas—a Python data analysis library. This was an introductory tutorial about the basic pandas features and data. . .
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Features Data structures for graphs, digraphs, and multigraphs
R: Sentiment analysis with machine learning – Short and sweet sentiment analysis tutorial Data Sources Twitter API – The twitter API is a classic source for streaming data.
The best Python book that I have seen in year 2016 is the book titled “Introduction to Computing and Problem Solving with Python”. This is authored by Jeeva Jose and published by Khanna Publishers.
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