Best developer links of past 2017

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Learn Top-down learning path: Machine Learning for Software Engineers https://github.com/ZuzooVn/machine-learning-for-software-engineers Learn X in Y minutes https://learnxinyminutes.com/ Microservices, Monoliths, and NoOps http://blog.arungupta.me/microservices-monoliths-noops/ Clean architectures in Python: a step-by-step example http://blog.thedigitalcatonline.com/blog/2016/11/14/clean-architectures-in-python-a-step-by-step-example/ Python Awesome Python https://github.com/vinta/awesome-python#environment-management Pipenv: Python Development Workflow for Humans https://github.com/pypa/pipenv Python job scheduling for humans https://github.com/dbader/schedule uvloop: Blazing fast Python networking https://magic.io/blog/uvloop-blazing-fast-python-networking/

Flask is a microframework for Python

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Flask is a microframework for Python based on Werkzeug, Jinja 2 and good intentions. And before you ask: It’s BSD licensed! Flask is Fun And Easy to Setup Interested? Download latest release (0.10.1) Read the documentation or download as PDF and zipped HTML Fork it on github

Python “MUST READS”

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A COLLECTION OF PYTHON “MUST READS”: The Python yield keyword explained Python’s super() considered super! Understanding Python Decorators What is a metaclass in Python? Metaclasses Demystified Try/Catch for validation or speed? Python (and Python C API): __new__ versus __init__ Python “self” keyword Python and the Principle of Least Astonishment A Curious Course on Coroutines and… Read more »

Scientific Computing Tools for Python

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SciPy is the powerfull scientific library that help you to analize and compute you data. SciPy refers to several related but distinct entities: The SciPy Stack, a collection of open source software for scientific computing in Python, and particularly a specified set of core packages. The community of people who use and develop this stack. Several conferences dedicated to scientific computing… Read more »

Using Python Generators

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Processing Data Files Calculate the number of bytes transferred in an Apache server log using a simple for-loop. Does not use generators. Calculate the number of bytes transferred in an Apache server log using a series of generator expressions.

Python function & class decorator

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В языке Python уже имеется несколько удобных встроенных функций, которые можно использовать как декораторы, но при этом мы также можем писать свои собственные декораторы. Декоратор класса может расширить функциональность самого класса или вернуть объект, который будет перехватывать последующие попытки конструирования экземпляров.

web2py Web Framework

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Free open source full-stack framework for rapid development of fast, scalable, secure and portable database-driven web-based applications. Written and programmable in Python. http://www.web2py.com/