ImportPython Newsletter Issue 143, Razvoj Python mikroservisa
Free Continuous Delivery eBook from GoCD
This free reference guide will take you back to the basics. You’ll find visuals and definitions on key concepts and questions you need to answer about your teams to determine your readiness for continuous delivery. Download and share with your team.
How Did We Build Book Recommender Systems in an Hour Part 1 — The Fundamentals
Building recommender systems today requires specialized expertise in analytics, machine learning and software engineering, and learning new skills and tools is difficult and time-consuming. In this post, we will start from scratch, covering some basic fundamental techniques and implementations in Python. In the future posts, we will cover more sophisticated methods such as content-based filtering and collaborative based filtering.
Python Gem #19: Look up table > if chain
What should be a really simple function has turned into a fifty-line gargantuan that’s too hard to read properly because of the sheer number of lines. The culprit; a seriously long if-elsif-else chain. But not to fear; there’s a better way!
My favorite terrible Python error message
TypeError: object() takes no parameters
A TDD approach or building microprocessor model in Python
Modern microprocessors are a very complex piece of machinery with a lot of different parts. I've learned assembler and microprocessors in my undergraduate course some years ago but, as I've been working on higher level software languages for quite some time now, I forgot many things. Lately I decided to revisit some of the topics on microprocessors and to build a very simple model of a microprocessor in Python for education purposes (I work as CS professor). You can find the final source code and some samples at https://github. com/joaoventura/simproc.
4 interactive Sankey diagrams made in Python – plotly – Medium
Plotly has a new member of the Plotly. js chart family: The Sankey diagram. Jupyter notebook is at above the footnote of the blogpost.
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Mapping Traffic Accidents in Metro Manila
I got my hands on a dataset on traffic accidents in Metro Manila early this year, and decided to enter the realm of data science with a simple cleaning and visualization project. The primary goal: supplement the dataset’s human readable location data with geographic coordinates.
CPython internals: Arbitrary-precision integer implementation
Have you ever noticed that Python supports integers of any size? Here is a quick glance at it.
How Did We Build Book Recommender Systems in An Hour Part 2 — k Nearest Neighbors and Matrix…
In the last post, we saw how we could use simple correlational techniques to create a measure of similarity between the books’ users based on their rating records. In this post, we will explain how you can use those same sort of similarity metrics to recommend books to a book’s readers.
Posting messages to Slack using incoming webhooks and Python3 Requests API
I wanted to make a short post on using Slack’s incoming webhooks feature to post messages to Slack using the human-friendly Requests API in Python3.
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Devs unknowingly use “malicious” modules snuck into official Python repository | Ars Technica
Code packages available in PyPI contained modified installation scripts.
Jupyter, python, Image compression and svd
In this short blogpost, I will explore few topics to illustrate the interactivity of the jupyter environment and the python availability of high quality libraries in the ecosystem.
Building a desktop notification tool using python
The term desktop notifications refer to a graphical control element that communicates certain events to the user without forcing them to react to this notification immediately. In other words, it is a simple application which produces a notification message in form of a pop-up message on desktop.
Getting Started on Geospatial Analysis with Python, GeoJSON and GeoPandas
Geospatial analysis applies statistical analysis to data that has geographical or geometrical components. In this tutorial, we’ll use Python to learn the basics of acquiring geospatial data, handling it, and visualizing it. More specifically, we’ll do some interactive visualizations of the United States!
Automating Web Analytics through Python
The current blog deals with the case how to implement web analytics in Python. I am enthusiastic about the options that are available inside Google Analytics. Google Analytics has a rich variety of metrics and dimensions available. It has a good visualization and an intuitive Graphic User Interface (GUI). However, in certain situations it makes sense to automate webanalytics and add advanced statistics and visualizations. In the current blog, I will show how to do that using Python.
TransitFlow — using Python and Processing to visualize regional transit frequency
Transit networks with higher frequency and shorter waiting times will yield a more reliable and empowering experience for passengers than those with lower frequency and longer waiting times.
Remote-controlling macOS with a Python Telegram bot
I needed a quick way to remotely perform system operations: adjusting & muting the system volume, screen brightness, and putting the display to sleep. After exploring several options, I found none of them to be viable for me, and thus, I set out to develop my own solution.
How to put that GPU to good use with Python
In the example below, I’ve demonstrated how this can be done using Python in a way that doesn’t require deep knowledge of CUDA and its intricacies. For this example, I suggest using the Anaconda Python distribution, which makes managing different Python environments a breeze. Follow the download and setup instructions for Anaconda as given here for your specific operating system.
Return of the Consoles: Recreating Pokémon in Python
Create a Github Gist with a simple Python script
How to share code snippets from command line?
Don’t mess with the celery while it running a task
Some time ago we decided to move part of our logic to celery. Several tasks was wrote and in one of them bash script was called, and this task never applied correct: first half of script was executed and then halted. I found that script running in processes, and can’t understand why it just stoped. Then I set some breakpoints in bash script and realised, that script stops at
Using categorical data in machine learning with python: from dummy variables to Deep category…
From dummy variables to Deep category embedding and Cat2vec?—?Part 1 (Basic Methods).
Spatial joins in GeoPandas
You can join two GeoPandas GeoDataFrames through conventional means with merge, but you can also use sjoin to capitalize on the spatial relationship between two frames.
The Beginner’s Guide to Text Vectorization
RAZVOJ PYTHON MIKROSERVISA
face-alignment - 165 Stars, 25 Fork
2D and 3D Face alignment library build using pytorch
MetaDockers - 44 Stars, 8 Fork
Responsible for visualization the vulhub or docker.
mygf-instagram - 34 Stars, 1 Fork
Like posts of my girlfriend's Instagram using web api, don't need any api key and access tokens just login and password
graphscii - 3 Stars, 0 Fork
Print ASCII graphs in the terminal.
xlsx2csv_gui - 2 Stars, 0 Fork
Convert excel xlsx file's table to csv file, A GUI application on top of python/pyqt and other opensource softwares.