Programming

Udemy – Asynchronous Programming with Python – Write, Test, and Debug Robust Asynchronous Code

Udemy – Asynchronous Programming with Python – Write, Test, and Debug Robust Asynchronous Code
English | Size: 235.31 MB
Category: Tutorial


In this course, we will look at using asynchronous programming in Python: the options, pitfalls, and best practices. We start with multi-threading, which is particularly useful when there is a lot of waiting, e.g. for HTTP requests or disk access. With multi-threading, you can start many requests in quick succession and then wait for all of them to complete at once. Next, the course will show you how to write your code in a thread-safe manner, and how to use it risk-free. Further, it covers Python’s global interpreter lock, which prevents a lot of serious problems in Python but also stops you from running threads in parallel.

Skillshare – LabVIEW Programming for Advanced Level

Skillshare – LabVIEW Programming for Advanced Level-QUiD
English | Size: 1.86 GB
Category: Tutorial


In the course, we start the hardware connection. So in this course you learn NI Data Acquisition USB 6009 as well as digital and analog inputs and outputs and also counter input. also, there is nine practical and useful project in which we do them with just 6 different signals. This project helps you fully understand the inputs and outputs of NI USB 6009. Next, you will learn Data logging and its application in LabVIEW and hardware connection. I will introduce a serial Data acquisition so as to get acquaintance with a serial connection and also the connection with different types of serial data acquisition in LabVIEW Also, you will learn programming of digital and analog inputs and outputs as well as counter input. Finally, in the , I will learn to introduce Ethernet DAQ. The aim of this chapter is to teach you the programming of TC-IP connection for different types of Ethernet DAQs

ODSC West 2020 Probabilistic Programming and Bayesian Inference with Python

ODSC West 2020 Probabilistic Programming and Bayesian Inference with Python
English | Size: 1.51 GB
Category: Tutorial


If you can write a model in sklearn, you can make the leap to Bayesian inference with PyMC3, a user-friendly intro to probabilistic programming (PP) in Python. PP just means building models where the building blocks are probability distributions! And we can use PP to do Bayesian inference easily. Bayesian inference allows us to solve problems that aren’t otherwise tractable with classical methods.

Packt – Getting Started with Object-Oriented Programming in Python 3 (VIDEOS)

Packt – Getting Started with Object-Oriented Programming in Python 3 (VIDEOS)
English | Size: 429.76 MB
Category: Tutorial


The world is filled with coders, who write pieces of programs in a bid to find solutions to various problems. In such a field where the competition is already intense, you need a definitive edge over the rest. One of the better ways to stay ahead of the pack is to write smarter code. Writing large programs can be painful. That’s where Object-Oriented Programming (OOP) comes to the rescue. OOP saves a considerable amount of coding man-hours in the long run by writing code in a smarter way, through various techniques.