Whether we’re using a Raspberry Pi or a data center server, we need to know how our CPU and RAM are performing and, in Linux, there are a plethora of commands and applications that we can use. At the basic low level “How much RAM have I used?” to inspecting the CPU for vulnera...
Let’s learn how to perform some of the most common tasks, such as text completion, sentiment classification, and image and code generation, using the OpenAI API. You can build upon the information provided in this section to develop custom Python applications that use the OpenAI models. Natura...
In the time when the internet is rich with so much data, and apparently, data has become the new oil, web scraping has become even more important and practical to use in various applications. Web scraping deals with extracting or scraping the information from the website. Web scraping is al...
Consider the following Python program—how much memory do you think it will use at peak?import numpy as np def load_1GB_of_data(): return np.ones((2 ** 30), dtype=np.uint8) def process_data(): data = load_1GB_of_data() return modify2(modify1(data)) def modify1(data): ...
Of course, the journey to become a skilled deep learning engineer in Python takes much more time and effort than that. Much of your time should be spent writing PyTorch code and solving problems. Just like learning to ride a bike is much more effective when you actually get on one ...
Some services haveAPI wrappers. An API wrapper is code that you install on your system to make the APIs easier to use in your chosen programming language. This guide doesn’t use any wrappers because they hide much of the inner workings of the APIs, and often don’t expose everything the...
Step 5.You will see Hello World as the output of the script, which means you can use Python on your Mac normally. Suppose the Python installation on Mac failed. Two main causes are lack of storage andMac permission denied. In this case, you should firstcheck RAM on Mac, and free up ...
Pythoncountdown.py fromtimeimportsleepforsecondinrange(3,0,-1):print(second)sleep(1)print("Go!") Just like before, you need to pipe the output of this script to a monitoring script. You’ll usecatorechoas a stand-in for the monitoring script once again, depending on your operating syst...
Run the shell or python command to obtain the GPU usage. Using the shell Command Run the nvidia-smi command. This operation relies on CUDA NVCC. watch -n 1 nvidia-smi Run the gpustat command. pip install gpustat gpustat -cp -i To stop the command execution, press Ctrl+C. Using ...
Curious why the fast function is so much faster? You might want to read a book I am working on about optimizing low-level code. Scaling to multiple threads Now that we have a couple of functions, we’ll set up a way to process a given list of images with a thread pool, with a th...