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Data wrangling is the process of transforming raw data into easily understandable formats and organizing sets into a single structure for further processing.
Data visualization is a method of displaying data in graphs, charts and maps to make data easy to understand for those unfamiliar with the data set.
JavaScript design patterns are sequences of code intended to provide developers with a streamlined method for solving common challenges.
JavaScript algorithms allow a data operation to function precisely while JavaScript data structures are a method of storing data for efficient access and modification.
Python is a popular programming language to use in machine learning because it offers developers exceptional versatility and power while integrating with other software.
Python algorithms provide a detailed set of instructions by which you can process data for a specific purpose. The most well-known are sorting and graph.
Python is a general-purpose, object-oriented programming language that’s popular in data science thanks to its rich libraries offering deep learning capabilities.
Cryptanalysis is the study and discovery of vulnerabilities within cryptographic algorithms that can be used to decrypt ciphertext without the secret key.
Python web scraping is an automated method used for collecting large amounts of data from websites and storing it in a structured form.
Android development is a form of software engineering dedicated specifically to creating applications for devices that run on the Android platform.
Swift is a powerful programming language designed by Apple for use on iOS, iPadOS, macOS, tvOS and watchOS operating systems.
Python data structures are formats for organizing and storing different kinds of data in Python. The four main types of built-in Python data structures are lists, tuples, sets and dictionaries.