1.Download link for Python https://www.python.org/downloads/windows/ 2. Installation Select custom installation, and make sure to check the box to add Python to the environment path; Verification after installation: python –version pip –version Pip is the package manager for Python 3. Create a virtual environment First, create a project directory, for example, E:\Code\llmops\llmops-api Open cmd in that … Read more
Virtual Environment1. Open the terminal by entering cmd in the path bar of the target folder2. Create: path>python -m venv your_env_name3. Activate: path>your_env_name\Scripts\activate4. Deactivate: (your_env_name) path>deactivateDjango: Web Framework1. Install Django in the virtual environment(your_env_name) path>pip install Django2. Create a project(your_env_name) path>django-admin startproject project_name . Commanddir to view the directory under the path Filemanage.py for managing … Read more
Starting from Anaconda, step by step guide to package your script 🚀 In daily development, we often write efficient scripts in Python, such as data processing tools and automation programs. However, if we want to share them with non-programmer friends, they may not have a Python environment installed. In this case, packaging the Python program … Read more
Open the folder where you want to run the program, and type cmd in the current folder. In the cmd, type: Create a virtual environment cls is the name you give to the virtual environment conda create -n cls python==3.8.5 Activate the virtual environment conda activate cls Install various libraries from the requirements folder pip … Read more
CMake is not unfamiliar to many who are familiar with C and C++. Today, we will look at a somewhat unusual application scenario: using CMake to manage and run Python applications. This approach can be effective in certain situations, such as when code generation is done in C++, and tool scripts are written in Python, … Read more
I tested that the MKL library’s Python version should ideally be kept at 3.9, and not greater than 3.9, such as 3.10, 3.11, 3.12, or 3.13, as they are currently not very compatible.Therefore, when configuring, it is best to use conda, and thencreate a virtual environment. conda create -n my_env python=3.9 Activate the virtual environment … Read more
Have you ever encountered these frustrating moments? – Project A requires <span><span>Python 3.7</span></span>, but Project B can only use <span><span>Python 3.10</span></span>, frequently switching versions leads to confusion; – Code that runs perfectly on your local machine throws errors on another computer due to incompatible dependency versions; – When installing a new package, accidentally overwriting critical … Read more
📦 Beginner’s Guide to Packaging Python Programs: A Dual-Platform Guide for Windows/Linux 🌟 Why Package? ✅ Users do not need to install the Python environment ✅ Protect source code ✅ One-click installation/uninstallation is more convenient 🖥 Windows Platform: Packaging EXE Files Recommended Tool: PyInstaller (Five-Star Rated Tool) # One-click installation pip install pyinstaller 🚀 3 … Read more
Reminder: This article provides a detailed introduction to the structure of the Python environment, basic usage of Python virtual environments, and environment & dependency management in Python. 0. What is a Python Environment A Python environment refers to a specific setup that contains a series of software tools and packages required to run Python code. … Read more
As a fan of Makefiles, I use them in almost every hobby project. I also advocate for their use in work projects. For open source projects, Makefiles inform code contributors on how to build, test, and deploy the project. Moreover, if you use Makefiles correctly, they can greatly simplify your CI/CD process scripts, as you … Read more