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Python Programming Leftovers

Submitted by Roy Schestowitz on Wednesday 12th of August 2020 08:57:25 PM Filed under
Development
  • How To Build A Simple Virtual Assistant Using Python

    Virtual assistants are everywhere from Alexa, to Google Home, to Apple Siri. They help us check the weather, make phone calls, control the thermostat, door locks, and other smart home devices e.t.c

    In this article, I will be walking you through how to create a simple virtual assistant using Google Speech Recognition and IBM Watson Text to Speech in Python.

  • Deep Learning in Keras - Building a Deep Learning Model

    Deep learning is one of the most interesting and promising areas of artificial intelligence (AI) and machine learning currently. With great advances in technology and algorithms in recent years, deep learning has opened the door to a new era of AI applications.

    In many of these applications, deep learning algorithms performed equal to human experts and sometimes surpassed them.

    Python has become the go-to language for Machine Learning and many of the most popular and powerful deep learning libraries and frameworks like TensorFlow, Keras, and PyTorch are built in Python.

    In this series, we'll be using Keras to perform Exploratory Data Analysis (EDA), Data Preprocessing and finally, build a Deep Learning Model and evaluate it.

    In this stage, we will build a deep neural-network model that we will train and then use to predict house prices.

  • Return modified string with Python

    Hello and welcome back, today I have solved another python related problem on CodeWars and would like to post the solution here.

    The question is as follows:-

    Given 2 strings, a and b, return a string of the form short+long+short, with the shorter string on the outside and the long string on the inside. The strings will not be the same length, but they may be empty ( length 0 ).

  • Python 3.9.0rc1

    This is the first release candidate of Python 3.9

    This release, 3.9.0rc1, is the penultimate release preview. Entering the release candidate phase, only reviewed code changes which are clear bug fixes are allowed between this release candidate and the final release. The second candidate and the last planned release preview is currently planned for 2020-09-14.

  • Python 3.9.0rc1 is now available

    Python 3.9.0 is almost ready. This release, 3.9.0rc1, is the penultimate release preview. You can get it here:

    https://www.python.org/downloads/release/python-390rc1/

    Entering the release candidate phase, only reviewed code changes which are clear bug fixes are allowed between this release candidate and the final release. The second candidate and the last planned release preview is currently planned for 2020-09-14.

    Please keep in mind that this is a preview release and its use is not recommended for production environments.

  • The Inner Workings of: Arq

    The main point of (what I colloquially call) a job library is, essentially, to execute a function (i.e. job) somewhere else, and potentially at a different time. When using a sync approach to web services (such as when using non-async Django or Flask), the limitations of the synchronous IO model basically require the use of a job library to execute logic outside of the context of a single request handler - if you don't want to do the logic in the scope of a request (and make the request take longer), you need to do it somewhere else, so you need a job library like Celery. A simple example might be an HTTP interface to send an email to a lot of recipients. You might not want the request to wait until all the emails have been sent to return a response since that might take a long time, so you would just schedule a job to run somewhere else to do the work.

    Job libraries like Celery basically require you to run special worker processes in addition to your web handler processes, and the worker processes use a database to get instructions to run functions, and then they run them.

  • PSF GSoC students blogs: Weekly Check-In | GSoc | #11
  • PyCoder’s Weekly: Issue #433 (Aug. 11, 2020)
  • Pysa: An Open-Source Tool To Detect & Fix Security Issues In Python Code

    Facebook has open-sourced Pysa, an internal tool used on Instagram to detect and fix bugs in the huge Python codebase of the app. Pysa can automatically identify vulnerable code snippets written by Facebook engineers before they are integrated into the social network’s systems.

    It is a static analyzer tool meaning it works by scanning code in a “static” form before the code is compiled. It hunts for common patterns that are usually observed in bugs and flags the potential issues in the code.

  • Facebook Open Sources Analysis Tool for Python Code

    The security-focused tool relies on Pyre, Facebook’s type checker for Python, and allows for the analysis of how data flows through code. It can be used to identify issues related to the protection of user data, as well as flaws such as XSS and SQL injection.

    In addition to making Pysa available in open source, Facebook released many of the definitions that it leverages when looking for security bugs, making it readily available for others to start analyzing their own Python code.

»

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    In this tutorial, we are going to explore how to install go on Ubuntu 22.04 Golang is an open-source programming language that is easy to learn and use. It is built-in concurrency and has a robust standard library. It is reliable, builds fast, and efficient software that scales fast. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel-type systems enable flexible and modular program constructions. Go compiles quickly to machine code and has the convenience of garbage collection and the power of run-time reflection. In this guide, we are going to learn how to install golang 1.19beta on Ubuntu 22.04. Go 1.19beta1 is not yet released. There is so much work in progress with all the documentation.

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