The world's most advanced open source database What is NumPy? — NumPy v1.22.dev0 Manual NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation and much more. At the core of the NumPy package, is the ndarray object. This encapsulates n-dimensional arrays of homogeneous data types, with many operations being performed in compiled code for performance. There are several important differences between NumPy arrays and the standard Python sequences: NumPy arrays have a fixed size at creation, unlike Python lists (which can grow dynamically). The points about sequence size and speed are particularly important in scientific computing. c = []for i in range(len(a)): c.append(a[i]*b[i]) Why is NumPy Fast?
NumPy — NumPy Programming languages: Python developers reveal their favorite tools Python may be the world's fastest-growing programming language in terms of popularity but what are developers doing with it and which tools are they using? The Python Software Foundation has shed light on how developers are using Python across the language's three main areas of use: data science, web development and DevOps. More than 20,000 professional and hobbyist developers across 150 countries were polled by the foundation and IDE software company JetBrains for the Python Developers Survey 2018 report in the fall of last year. For the first time, developers are primarily using Python for data analysis, which has overtaken web development as the main role the language is used for. SEE: Hiring kit: Python developer (Tech Pro Research) "Data analysis has become more popular than web development, growing from 50% in 2017 to 58% in 2018," says the report. "Machine learning also grew by 7 percentage points. What Python is used for? Most popular data science frameworks for Python Sign up today
vue-google-charts Reactive Vue.js wrapper for Google Charts lib Table of contents npm i vue-google-charts Default import Install a component globally (use as plugin): Use locally in a component: Browser The plugin should be auto-installed. Read the Google Charts docs first The GChart component is a wrapper for the original Google Charts, so it's assumed you are familiar with the vanilla Google Charts usage ( With vue-google-charts package you don't need to link script loader and load Google Charts package manually. Another bonus — reactive data binding. Simple usage: return chartData: 'Year' 'Sales' 'Expenses' 'Profit' chartOptions: chart: title: 'Company Performance' subtitle: 'Sales, Expenses, and Profit: 2014-2017' Load additional packages: Using settings prop you can specify any setting available for google charts loader: packages, language, callback, mapsApiKey. See more on available setting There's also version prop, so you can load a specific version, e.g. version="upcoming".
Timing Functions With Decorators - Python Everything in Python is an object. Functions in Python also object. Hence, like any other object they can be referenced by variables, stored in data structures like dictionary or list, passed as an argument to another function, and returned as a value from another function. In this article, we are going to see the timing function with decorators. Decorator: A decorator is used to supercharge or modify a function. Attention geek! To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. Example : The best way to explain what it is by coding our own decorator. Code: Python3 Output: ********** Hello Geeks! Explanation : In the above example, my_decorator is a decorator function, which accepts func, a function object as an argument. So, what happens when we write @my_decorator before defining any function? Timer Function using Decorator The timer function is one of the applications of decorators. timer_func(long_time)(5) wrap_func(5)
The Python Tutorial — Python 3.6.5 documentation Tip This tutorial is designed for programmers that are new to the Python language, not beginners who are new to programming. Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python web site, and may be freely distributed. The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C). This tutorial introduces the reader informally to the basic concepts and features of the Python language and system. The Glossary is also worth going through.
Easier Python paths with pathlib A look at the benefits of using pathlib, the "object-oriented way of dealing with paths". Working with files is one of the most common things developers do. After all, you often want to read from files (to read information saved by other users, sessions or programs) or write to files (to record data for other users, sessions or programs). Of course, files are located inside directories. Navigating through directories, finding files in those directories, and even extracting information about directories (and the files within them) might be common, but they're often frustrating to deal with. This isn't necessarily bad; the fact is that Python developers have used this combination of modules, methods and files for quite some time. Indeed, it turns out that for several years already, Python's standard library has come with the pathlib module, which makes it easier to work with directories and files. pathlib Basics import pathlib Now that you've done that, you can create a new Path object.
Sceneform overview | ARCore | Google Developers Sceneform makes it straightforward to render realistic 3D scenes in AR and non-AR apps, without having to learn OpenGL. It includes: A high-level scene graph APIA realistic physically based renderer provided by Filament An Android Studio plugin for importing, viewing, and building 3D assets This page explains key concepts by exploring the code in the Hello Sceneformsample app. Note: This sample uses Sceneform and ARCore. Getting started with Sceneform and ARCore To get started with Sceneform and ARCore in your project you'll need to: Import the Sceneform plugin into your project Once installed, the Sceneform plugin lets you import, view, and build 3D assets in the Sceneform SDK for AR apps in Android Studio. To install the plugin: In Android Studio open the Plugins settings: Windows: File > Settings > Plugins > Browse RepositoriesmacOS: Android Studio > Preferences > PluginsClick Browse repositories, and install the Google Sceneform Tools (Beta). Configure your project's build.gradle files
Asterisks in Python: what they are and how to use them - Trey Hunner There are a lot of places you’ll see * and ** used in Python. These two operators can be a bit mysterious at times, both for brand new programmers and for folks moving from many other programming languages which may not have completely equivalent operators. I’d like to discuss what those operators are and the many ways they’re used. The * and ** operators have grown in ability over the years and I’ll be discussing all the ways that you can currently use these operators and noting which uses only work in modern versions of Python. If you’re newer to Python and you’re not yet familiar with keyword arguments (a.k.a. named arguments), I’d recommend reading my article on keyword arguments in Python first. What we’re not talking about When I discuss * and ** in this article, I’m talking about the * and ** prefix operators, not the infix operators. So I’m not talking about multiplication and exponentiation: So what are we talking about? This includes: Asterisks for unpacking into function call
Computing Form and Shape: Python Programming with the Rhinoscript Library - an Online Programming Course at Kadenze Carl Lostritto conducts research and teaches in the area of computational design with an emphasis on drawing and media. He is currently Assistant Professor of Architecture at RISD. He previously taught architecture and design at The Boston Architectural College, The Catholic University of America, The University of Maryland, and The Massachusetts Institute of Technology. His teaching has spanned all levels of design curricula including introductory and advanced architectural studios, design seminars, and workshops. He recently taught a high school level outreach program at MIT and a fabrication and digital craft research studio, which was supported by an Education Committee Grant at the Boston Architectural College. Concurrent to teaching, he operates a computational design consultancy, which partners with artists, architects, and designers on projects of various types and scales including web design, print media, graphic design, prototyping, installations and buildings.
twitter An asynchronous client library for the Twitter REST and Streaming API's. var Twitter = ; var client = consumer_key: '' consumer_secret: '' access_token_key: '' access_token_secret: '' var params = screen_name: 'nodejs'; client Installation npm install twitter Quick Start You will need valid Twitter developer credentials in the form of a set of consumer and access tokens/keys. For User based authentication: Add your credentials accordingly. consumer_key: processenvTWITTER_CONSUMER_KEY consumer_secret: processenvTWITTER_CONSUMER_SECRET access_token_key: processenvTWITTER_ACCESS_TOKEN_KEY access_token_secret: processenvTWITTER_ACCESS_TOKEN_SECRET For Application Only based authentication: You will need to fetch a bearer token from Twitter as documented Here, once you have it you can use it as follows. bearer_token: '' bearer_token: processenvTWITTER_BEARER_TOKEN NB - You will not have access to all endpoints whilst using Application Only authentication, but you will have access to higher API limits. Requests
: Python plotting — Matplotlib 3.4.3 documentation Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations. Install conda install -c conda-forge matplotlib For more detailed instructions, see the installation guide. Learn Community Third-party packages, provide custom, domain specific, and experimental features, including styles, colors, more plot types and backends, and alternative interfaces. What's new Learn about new features and API changes. Contribute Matplotlib is a community project maintained for and by its users. There are many ways you can help! About us Matplotlib was created by neurobiologist John Hunter to work with EEG data.