Pamela Fox’s Post

📰🐍 Get the best Python links of the week: PyCoder’s Weekly Issue #664: Django vs FastAPI, Interacting With Python, Data Cleaning, and More (Jan. 14, 2025) https://lnkd.in/dFuikrMB

A Python package is a way of organizing related Python code for easy reuse. It can contain one or more files of Python code (also known as "modules"). To import a package, you can use `import foo.bar` or `from foo import bar`. For a directory to be recognised as a package, it must include a special file called `__init__.py`, even if this file is empty. In the context of Django, an application is a Python package specifically intended for use in a Django project. An application may follow common Django conventions, such as submodules for models, tests, URLs, and views. The term "packaging" refers to making a Python package easy for others to install. I understand that it can be a little confusing.

🐍 Python's zipfile: Manipulate Your ZIP Files Efficiently 📰 #python

Building RESTful APIs with Laravel & Python #techsolutionstuff #laravel11 #laravel #laravelPHP #python #API

🐍📰 Python and REST APIs: Interacting With Web Services In this tutorial, you'll learn how to use Python to communicate with REST APIs. You'll also learn about REST architecture and how to use the requests library to get data from a REST API #python

How to Use JSON In Your Python Code... This tutorial shows how to use the json library to use JavaScript Object Notation (JSON) to use JSON in Python.

Creating an AWS Lambda layer for Python. 🔶 Step 1: Prepare Your Python Dependencies 1.1 Create a Project Directory: mkdir my_lambda_layer cd my_lambda_layer 1.2 Create a Directory for Python Libraries: mkdir python 1.3 Install Python Packages: pip install requests -t python/ 🔶 Step 2: Package Your Lambda Layer 2.1 Create a ZIP Archive: zip -r my_lambda_layer.zip python/ 🔶 Step 3: Create the Lambda Layer in AWS 3.1 Login to the AWS Management Console 3.2 Navigate to Layers 3.3 Create a New Laye: Click on the "Create layer" button. 3.4 Configure the Layer: Name: Give your layer a name (e.g., MyPythonLayer) Description: Optionally, provide a description Upload: Choose the ZIP file you created (my_lambda_layer.zip) Compatible Runtimes: Select the Python runtime(s) 3.5 Create the Layer: Click on the "Create" button to create your Lambda layer 🔶 Step 4: Use the Layer in a Lambda Function 4.1 Navigate to Functions 4.2 Create or Select a Lambda Function 4.3 Add the Layer to Your Function 4.4 Save Changes Step 5: Verify the Layer in Your Lambda Function ✅ Summary By following these steps, you can create an AWS Lambda layer for Python and use it across multiple Lambda functions. This helps you manage dependencies more efficiently and reduces the size of your individual Lambda function packages.

Here is the detailed documentation to launch Python apps in development mode on N99panel . https://lnkd.in/gPuM9myE The documentation to launch Python Apps is production mode is still in works. Link will be posted soon. #python #django #gunicorn #flask

Distroless Python container! It works! (Minimal attack surface, minimal size.) No bash shell or any other utilities. Tested a simple FastAPI app, works great. pyinstaller --onefile to compile* to a custom executable staticx to pack in a few system dependencies** not picked up by pyinstaller Dockerfile, multistage build for single layer image containing only /tmp folder and one executable file***: FROM scratch as build # tmp should be an empty folder COPY tmp /tmp # substitute actual executable file for (your executable) COPY (your executable) / FROM scratch # run as nobody USER 65534 COPY --chown=65534:65534 --from=build / / ENTRYPOINT ["/(your executable)"] * Not machine code, compiled to byte code and bundled into a Python executable that can only run the main file. Can't run arbitrary Python code or get a shell. And no raw Python code visible inside the executable. ** CAVEAT: staticx takes dependencies from system, not a controlled environment, so be sure system is up-to-date and the versions you want are bundled. Use ldd on the output of pyinstaller if you want to see what dependencies are required. *** single file in container image but unpacks dependencies to /tmp, still no hacker-useful tools there. Before I discovered staticx, I was stuck for several hours with Docker saying "file not found" when I could inspect the image and see it was definitely there and permissions were correct. Turns out, the file(s) that could not be found were dependencies pyinstaller didn't include, but staticx could bundle. Here's a page that discusses several options including staticx: https://lnkd.in/eKUQnxXn

🐍📰 Build a URL Shortener With FastAPI and Python #python