uncleflo
Registered since September 28th, 2017
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Full Stack Developer Roadmap - Become Web Developer [2022]
Saved by uncleflo on November 14th, 2022.
With the ever-changing landscape of technology, it can be difficult to keep up with the latest trends. This is especially true in the field of web development, where new frameworks and programming languages are constantly being created. If you’re interested in becoming a full stack developer, then this blog post is for you. We’ll provide an overview of what full stack development is, as well as a roadmap of what you should learn in order to be successful in this In this blog post, we will discuss how to become a full stack developer. We will also provide a roadmap for full stack development in 2022.
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AMPPS – WAMP, MAMP and LAMP Stack
Saved by uncleflo on February 12th, 2022.
AMPPS is a software stack from Softaculous enabling Apache, Mysql, MongoDB, PHP, Perl, Python and Softaculous auto-installer on desktops and office servers. AMPPS is a WAMP, MAMP and LAMP stack of Apache, MySQL, MongoDB, PHP, Perl & Python. AMPPS enables you to focus more on using applications rather than maintaining them. With AMPPS you can create a website by installing any of the 400+ Apps, customizing it, and then simply publishing it on the internet via a wide choice of hosting service providers Softaculous AMPPS helps you deploy Apps on your server. We have covered a wide array of Categories so that everyone could find the required application one would need to build their website and grow their business. AMPPS is one of the best WAMP stacks you can get with so many preconfigured Apps.
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Project Jupyter | Home
Saved by uncleflo on February 7th, 2022.
JupyterLab is the latest web-based interactive development environment for notebooks, code, and data. Its flexible interface allows users to configure and arrange workflows in data science, scientific computing, computational journalism, and machine learning. A modular design invites extensions to expand and enrich functionality. The Jupyter Notebook is the original web application for creating and sharing computational documents. It offers a simple, streamlined, document-centric experience. Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala.
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GitHub - mrjbq7/ta-lib: Python wrapper for TA-Lib (http://ta-lib.org/).
Saved by uncleflo on January 16th, 2022.
This is a Python wrapper for TA-LIB based on Cython instead of SWIG. From the homepage: TA-Lib is widely used by trading software developers requiring to perform technical analysis of financial market data. The original Python bindings included with TA-Lib use SWIG which unfortunately are difficult to install and aren't as efficient as they could be. Therefore this project uses Cython and Numpy to efficiently and cleanly bind to TA-Lib -- producing results 2-4 times faster than the SWIG interface.
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API Documentation - brandfolder.com
Saved by uncleflo on January 16th, 2022.
Building the future of digital content together The same API that powers the most powerful DAM on the market is available to support your project. The complexity of managing, organization, manipulating, converting, distributing, and delivery of digital assets is daunting. Brandfolder partners can expediate their projects by offloading many of these areas to our platform. Use the many resources found here to help get your next project started.
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C and Python: Video Streaming Made 20x More Efficient | Toptal
Saved by uncleflo on January 14th, 2022.
Porn is a big industry. There aren't many sites on the Internet that can rival the traffic of its biggest players. And juggling this immense traffic is tough. To make things even harder, much of the content served from porn sites is made up of low latency live streams rather than simple static video content. But for all of the challenges involved, rarely have I read about the developers who take them on. So I decided to write about my own experience on the job. And juggling this immense traffic is tough. To make things even harder, much of the content served from porn sites is made up of low latency live video streams rather than simple static video content. But for all of the challenges involved, rarely have I read about the python developers who take them on. So I decided to write about my own experience on the job. A few years ago, I was working for the 26th (at the time) most visited website in the world - not just the porn industry: the world.
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GitHub - peerchemist/finta: Common financial technical indicators implemented in Pandas.
Saved by uncleflo on May 15th, 2021.
TA class is very well documented and there should be no trouble exploring it and using with your data. Each class method expects proper ohlc DataFrame as input. Finta supports over 80 trading indicators.
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python - How do I fit a sine curve to my data with pylab and numpy? - Stack Overflow
Saved by uncleflo on May 15th, 2021.
I am trying to show that economies follow a relatively sinusoidal growth pattern. I am building a python simulation to show that even when we let some degree of randomness take hold, we can still produce something relatively sinusoidal. I am happy with the data I'm producing, but now I'd like to find some way to get a sine graph that pretty closely matches the data. I know you can do polynomial fit, but can you do sine fit? You can use the least-square optimization function in scipy to fit any arbitrary function to another. In case of fitting a sin function, the 3 parameters to fit are the offset ('a'), amplitude ('b') and the phase ('c').
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GitHub - aws/chalice: Python Serverless Microframework for AWS
Saved by uncleflo on April 10th, 2021.
Python Serverless Microframework for AWS Chalice is a framework for writing serverless apps in python. It allows you to quickly create and deploy applications that use AWS Lambda. It provides: You can create Rest APIs:
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GitHub - boto/botocore: The low-level, core functionality of boto 3.
Saved by uncleflo on April 10th, 2021.
A low-level interface to a growing number of Amazon Web Services. The botocore package is the foundation for the AWS CLI as well as boto3. Assuming that you have Python and virtualenv installed, set up your environment and install the required dependencies like this or you can install the library using pip:
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SeleniumHQ Browser Automation
Saved by uncleflo on April 10th, 2021.
Primarily it is for automating web applications for testing purposes, but is certainly not limited to just that. Boring web-based administration tasks can (and should) also be automated as well. If you want to create robust, browser-based regression automation suites and tests, scale and distribute scripts across many environments, then you want to use Selenium WebDriver, a collection of language specific bindings to drive a browser - the way it is meant to be driven. If you want to create quick bug reproduction scripts, create scripts to aid in automation-aided exploratory testing, then you want to use Selenium IDE; a Chrome and Firefox add-on that will do simple record-and-playback of interactions with the browser.
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Selenium Webdriver with Python: Tutorial with Example
Saved by uncleflo on April 10th, 2021.
Selenium supports Python and thus can be utilized as Selenium WebDriver with Python for testing. You can run Selenium with Python scripts for Firefox, Chrome, IE, etc. on different Operating Systems. Selenium is a tool to test your web application. You can do this in various ways, for instance
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User guide — Typeguard 2.12.0 documentation
Saved by uncleflo on April 3rd, 2021.
Two functions are provided, potentially for use with the assert statement: check_argument_types() and check_return_type(). These can be used to implement fine grained type checking for select functions. If the function is called with incompatible types, or check_return_type() is used and the return value does not match the return type annotation, then a TypeError is raised.
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Properly Installing Python — The Hitchhiker's Guide to Python
Saved by uncleflo on January 20th, 2021.
These guides go over the proper installation of Python for development purposes, as well as setuptools, pip and virtualenv. This opinionated guide exists to provide both novice and expert Python developers a best practice handbook to the installation, configuration, and usage of Python on a daily basis. There’s a good chance that you already have Python on your operating system. If so, you do not need to install or configure anything else to use Python. Having said that, I would strongly recommend that you install the tools and libraries described in the guides below before you start building Python applications for real-world use. In particular, you should always install Setuptools, Pip, and Virtualenv — they make it much easier for you to use other third-party Python libraries.
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How To Set Up an Apache, MySQL, and Python (LAMP) Server Without Frameworks on Ubuntu 14.04 | DigitalOcean
Saved by uncleflo on December 19th, 2019.
This article will walk you through setting up a server with Python 3, MySQL, and Apache2, sans the help of a framework. By the end of this tutorial, you will be fully capable of launching a barebones system into production. Django is often the one-shop-stop for all things Python; it’s compatible with nearly all versions of Python, comes prepackaged with a custom server, and even features a one-click-install database. Setting up a vanilla system without this powerful tool can be tricky, but earns you invaluable insight into server structure from the ground up. This tutorial uses only package installers, namely apt-get and Pip. Package installers are simply small programs that make code installations much more convenient and manageable. Without them, maintaining libraries, modules, and other code bits can become an extremely messy business.
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Weighting words using Tf-Idf - NLP-FOR-HACKERS
Saved by uncleflo on December 23rd, 2018.
If I ask you “Do you remember the article about electrons in NY Times?” there’s a better chance you will remember it than if I asked you “Do you remember the article about electrons in the Physics books?”. Here’s why: an article about electrons in NY Times is far less common than in a collection of physics books. It is less likely to stumble upon the “electron” concept in NY Times than in a physics book. Let’s consider now the scenario of a single article. Suppose you read an article and you’re asked to rank the concepts found in the article by importance. The chances are you’ll basically order the concepts by frequency. The reason is simply that important stuff would be mentioned repeatedly because the narrative gravitates around them. Combining the 2 insights, given a term, a document and a collection of documents we can loosely say that:importance ~ appearances(term, document) / count(documents containing term in collection).
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OBS Studio
Saved by uncleflo on October 8th, 2018.
Free and open source software for video recording and live streaming. Download and start streaming quickly and easily on Windows, Mac or Linux. Create Professional Productions. OBS Studio is equipped with a powerful API, enabling plugins and scripts to provide further customization and functionality specific to your needs. Utilize native plugins for high performance integrations or scripts written with Lua or Python that interface with existing sources. Work with developers in the streaming community to get the features you need with endless possibilities. Browse or submit your own in the Resources section.
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Marco Bonzanini - Mining Twitter Data with Python (Part 1: Collecting data)
Saved by uncleflo on February 19th, 2018.
Twitter is a popular social network where users can share short SMS-like messages called tweets. Users share thoughts, links and pictures on Twitter, journalists comment on live events, companies promote products and engage with customers. The list of different ways to use Twitter could be really long, and with 500 millions of tweets per day, there’s a lot of data to analyse and to play with. This is the first in a series of articles dedicated to mining data on Twitter using Python. In this first part, we’ll see different options to collect data from Twitter. Once we have built a data set, in the next episodes we’ll discuss some interesting data applications. Update July 2016: my new book on data mining for Social Media is out! Part of the content in this tutorial has been improved and expanded as part of the book, so please have a look. Chapter 2 about mining Twitter is available as a free sample from the publisher’s web site, and the companion code with many more examples is available on my GitHub
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WebSockets
Saved by uncleflo on October 21st, 2016.
A WebSocket is a standard protocol for two-way data transfer between a client and server. The WebSockets protocol does not run over HTTP, instead it is a separate implementation on top of TCP. A WebSocket connection allows full-duplex communication between a client and server so that either side can push data to the other through an established connection. The reason why WebSockets, along with the related technologies of Server-sent Events (SSE) and WebRTC data channels, are important is that HTTP is not meant for keeping open a connection for the server to frequently push data to a web browser. Previously, most web applications would implement long polling via frequent Asynchronous JavaScript and XML (AJAX) requests as shown in the below diagram.
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Stereo-vision (image rectification) Python OpenCV Tutorial
Saved by uncleflo on September 15th, 2012.
Stereo vision is a useful tool to allow for users to detail greater image detail, based on epipolar geometry of two parrallel views. Since the cameras are separated, and subject to their own distortion, these images need to be Stereo Rectified in before any further processing can be done. This is important for 3D vision, and depth perception. OpenCV [conventionlly] uses a Chessboard pattern to calibrate a camera. Presenting a pattern which is regular to the camera will allow decisions regarding any radial distortions to be made. See previous tutorial for single camera calibration.
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