Problem Formulation: How to perform an HTTP get call in Python? Solution: Use Python’s requests library. This is semantically equivalent to issuing an HTTP get call: http://example.com?param_1=value_1¶m_2=value_2 In fact, you can obtain this exact URL by using the r.url attribute on the request object: You can find the text response by using the r.text attribute … Read more
Hey Finxters! It is time for another article on Python and one of its libraries. In this article I want to present to you the best Python tutorials on the Requests Library. These tutorials are a great way to get started in building your portfolio, and your Python skills as a developer. Without any hesitation, … Read more
Problem Formulation: How to send and receive UDP multicast messages in Python? Background: Multicast is a distributed systems concept for group communication over a network (one-to-many or many-to-many). The choice of the network “transport layer” which the Multicast uses determines its type—for example, IP Multicast is sending a multicast over the IP layer and UDP … Read more
Problem Formulation: How to send and receive UDP messages in Python? Background: The User Datagram Protocol (UDP) network layer allows you to send messages without providing deliverability guarantees. UDP is unreliable—massages may be lost or delivered out of order. But this makes UDP also fast, lightweight, and the protocol of choice for many streaming scenarios … Read more
Machine Learning (ML) is a sought-after skill in today’s automated world. Google is one of the key players in the Machine Learning space. With the growing scale and popularity of deep learning, the limitations of a single machine become more and more pronounced. Motivation Training a model on a single computer can take a long … Read more
MapReduce is the name of both (i) a distributed processing programming model provided by the Apache Foundation, and (ii) a functional processing technique. It consists of two steps: the map() function and the reduce() function. Map() converts each element in a data set into a modified element. Reduce() takes subsets of modified elements and aggregates … Read more
Large companies analyze massive amounts of data coming from various sources such as social nets, weblogs, or customers. An important class of data analytics concerns large-scale set operations. Suppose you have two customer data sets A and B. Set A contains all customers who bought in 2017. Set B contains all customers who bought in … Read more