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Welcome to issue 386 of Python Weekly. Let's get straight to the links this week.
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From Our Sponsor
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Vettery is an online hiring marketplace that specializes in developer roles and is completely free for job seekers. Interested? Submit your profile, and if accepted, you can receive interview requests directly from top companies seeking Python devs. |
Articles, Tutorials and Talks
Build a Data Analysis Library from Scratch in Python
Learn how to build a data analysis library from scratch in Python. Immerse yourself into a comprehensive project with 40 steps and 100 tests that you must pass in order to complete. We are building Pandas Cub, a library with similar functionality as the Pandas library.
Find Dominant Colors in an Image through Clustering
Analyzing images with code can be difficult. How do you make your code "understand" the context of an image?
Build Your First Open Source Python Project
Making an open source Python package may sound daunting, but you don’t need to be a grizzled veteran. You also don’t need an elaborate product idea. You do need persistence and time. Hopefully this guide will help you need less of both.
Building a Movie Recommendation Engine in Python using Scikit-Learn
Wondered how Google comes up with movies that are similar to the ones you like? After reading this post you will be able to build one such recommendation system for yourself.
How to Practice Python Programming with Google Colab?
Automatic setting-up, getting help effectively, collaborative programming, and version control. A one-stop solution to the pain points in Python beginners’ practice.
How to write a Python web framework. Part I.
This is the first of the series where we will be writing our own Python framework just like Flask and Django. In this part, we will implement the features: WSGI compatible, Request Handlers and Routing: simple and parameterized
- Part II - In the second part of the series, we will implement the features: Check for duplicate routes, Class Based Handlers and Unit tests.
Let’s talk about data structures in Python
In this article we are going to discuss the most important data structures in python. How they work, when to use them and how to use them. We will even cover a little bit of Big-O notation which helps to describe effectiveness of algorithms and data structures.
Even a Feature That You Do Not Use Can Bite You
Let’s have a look at a simple piece of Python code that I have both accidentally written and seen in code reviews which does an entirely different thing than expected.
Black and white image colorization with OpenCV and Deep Learning
The CPython Bytecode Compiler is Dumb
Guide to Python Dictionaries
Fixing your Django async job - database integration
Repeatable NLP of news headlines using Apache Airflow, Newspaper3k, Quilt T4 & Vega
An Introduction to Cython, the Secret Python Extension with Superpowers
Unit Testing Applications that use Flask-Login and Flask-SocketIO
Django ORM optimization story on selecting the least possible
Python Jobs of the Week
Backend Software Engineer at Cupboard
You will work directly with the co-founders (CEO and CTO) to build out our backend systems. We are looking for an experienced python developer with production experience building and maintaining flask apps that use sqlalchemy and mysql. We are deployed to aws fargate and prefer managed services to our own infrastructure.
Data Engineer – Python at Wooga
As a Data Engineer, you will be an essential part of our Data team, inspiring and sharing your expertise with your colleagues. You will be working closely with a number of other teams too, including data science, engineering, and game teams, to ensure that we can collect and action the data in the best possible way.
Interesting Projects, Tools and Libraries
privacyIDEA
privacyIDEA is an open solution for strong two-factor authentication like OTP tokens, SMS, smartphones or SSH keys. Using privacyIDEA you can enhance your existing applications like local login (PAM, Windows Credential Provider), VPN, remote access, SSH connections, access to web sites or web portals with a second factor during authentication.
Meltano
Meltano is an open source convention-over-configuration product for the whole data lifecycle, all the way from loading data to analyzing it.
bullet
Beautiful Python prompts made simple. Build a prompt like stacking blocks.
SC-FEGAN
Face Editing Generative Adversarial Network with User's Sketch and Color.
subsync
Automagically synchronize subtitles with video.
Polystores
Polystores is an abstraction and a collection of clients to interact with cloud storages.
owoScript
An OwO based, stack-oriented programming language.
gitdir
Download a single directory/folder from a GitHub repo.
AdaBound
An optimizer that trains as fast as Adam and as good as SGD.
message-analyser
Statistical analysis of VKontakte and Telegram message history.
New Releases
Python 3.8.0a2
IPython 7.3
Upcoming Events and Webinars
New York Python Meetup March 2019 - New York, NY
There will be following talks
- Copilot @ Xaxis: Using Python and Airflow to Enable AI on Ad Tech Data at Scale
- Bringing state of the art NLP stack for conversational AI to production settings
- Runway: Adding machine learning capabilities to design and creative platforms
DFW Pythoneers March 2019 Meetup - Plano, TX
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