You are using the free version of this application. Thank you for giving us this chance.
Plan comparison chart
| Feature | Free | Pro 1 Day | Pro Monthly |
| No. of packages per file | 10 | 100 | 100 |
| Max. no. of file uploads processed | 3 | 10 | 10 |
| Trusted User Benefits (Bypass reCAPTCHA) | No | Yes | Yes |
Use Sedona Bulk Python Package Tool to find the version of a Python package installed via pip in batch or bulk.
Example file upload sample template
-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)
-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)
-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)-(_)
Related helpful articles around the web for reference
The
Python Package Index
(PyPI)
is a repository for Python software packages. It enables users to find and install software contributed by the Python community. You can learn how to install packages and distribute your own Python software on PyPI.
What is a Package?
A package includes all necessary files for a module. Modules are libraries of Python code that you can integrate into your projects.
Checking for
PIP Installation
To verify if PIP is installed, navigate to the Python script directory in your command line and enter the following command:
Checking PIP Version:
To check the version of PIP installed, use the command below. If PIP is not installed, you can download and install it.
Downloading a Package
To download a package, open the command line and instruct PIP to download the desired package. Navigate to Python’s script directory and enter the command provided. You will have successfully downloaded and installed your package!
Using a Package
Once installed, a package is ready for use. Import the “camelcase” package into your project as needed.
Removing a Package
To uninstall a package, use the uninstall command.
Listing Packages
To view all installed packages, use the list command.
Installing Packages
This section explains how to install Python packages. Here, “package” refers to a distribution bundle of software to be installed, not a module that you import in Python code. In Python terminology, “package” is commonly used for distributions, as “distribution” can be confused with larger software distributions.
Pre-installation Requirements
Before installing additional Python packages, ensure you can run Python from the command line. Verify Python’s presence and version by running:
For Windows Users:
If Python is not installed, download the latest 3.x version from python.org or refer to the Hitchhiker’s Guide to Python.
Note:
If you encounter an error or use enhanced shells like IPython or Jupyter, prefix commands with an !. On Linux, replace python with python3 and python -m pip with python3 -m pip –user. Avoid using sudo for these commands.
Ensure PIP is Available
Check if PIP is installed by running:
For Windows Users:
If python -m pip doesn’t work, ensure pip, setuptools, and wheel are updated:
For Unix/macOS Users:
Run the command to update pip, setuptools, and wheel:
Optional: Creating a Virtual Environment
For details on setting up a virtual environment, use the venv command on Linux:
For Unix/macOS Users:
python3 -m venv tutorial_env
source tutorial_env/bin/activate
For Windows Users:
This command creates a new virtual environment in tutorial_env and configures the shell to use it.
Why Use Virtual Environments?
Virtual environments help manage multiple applications requiring different package versions, avoiding conflicts and protecting installed applications from unwanted upgrades. They also provide a solution if you can’t modify the global site-packages directory.
Creating Virtual Environments
Two common tools are used for this purpose:
-
venv:
Built into Python 3.3+ and automatically installs pip in Python 3.4+ environments.
-
virtualenv:
Must be installed separately but supports Python 2.7+ and Python 3.3+, and includes pip, setuptools, and wheel by default.
Dependency Management
During dependency installation, issues might arise from missing requirements or version conflicts. Various tools assist in identifying or resolving these issues:
Pip
Check Command:
Verifies if dependencies are correctly installed.
-
Poetry Environment Check:
Identifies dependency conflicts and ensures a complete set of required dependencies.
ActiveState Platform
The ActiveState Platform offers a Python package management solution that resolves dependencies and provides workarounds for conflicts. You can try it for free by creating an account and starting a Python project with the required packages.
Future of Python Package Management
For many Python developers managing multiple tools, the ActiveState Platform simplifies package management by enhancing security, transparency, and reducing dependency issues. This allows developers to focus more on coding rather than dealing with tooling problems.
To install Python 3.9 and the State Tool, use the command provided.
Feel free to let me know if there’s anything else you need!
