utility

Those are utility functions to facilitate day-to-day jobs on the command line. All functions follow the following format:

Action [Target] [Quantity] [Quality] [Destination]

Action is any verb that defined actions to be executed, such as get, peek or replace.

Target can be any IT object like file, memory or connection.

Quantity can be any quantifiable output like 5.

Quality can show, for example, direction (back/forth) when applying replacement.

Destination can be any destination (such as a file) where the pattern is searched.

Authors

Vitali Avagyan: @vitali87

Installation

Put utility.sh file into a location of your choice, e.g. into ~/Documents/utility/. Then add this line to your~/.bashrcfile:

source ~/Documents/utility/utility.sh

Note: if you are using zsh shell, then add these two lines (bash completion script compatibility mode) before sourcing the .sh file:

autoload bashcompinit
bashcompinit
source ~/Documents/utility/utility.sh

Install the required packages to run all functions:

make install

Usage/Examples

Navigate to the desired folder (or alternatively specify the full path) containing the archive file - thunderbird in this example - and execute the following command:

extract thunderbird-91.3.0.tar.bz2

Running Tests

To run tests, run the following command

TBC

It will fail with an informative message.

Related

Here are some related projects:

Optimisations

Optimisations in the code are highly welcomed:

• refactors
• performance improvements
• accessibility

License

Other Common Github Profile Sections

👩‍💻 I'm currently working on: https://github.com/vitali87/python-CLI

🧠 I'm currently learning advanced OOP: https://github.com/vitali87/oop_book

👯‍♀️ I'm looking to collaborate on anything related to data science, linux, python and cloud

🤔 I'm looking for help with new ideas for automation

💬 Ask me about anything tech related.

📫 How to reach me [email protected]

😄 Pronouns he/his

⚡️ Fun fact...

🛠 Skills

Amazon Web Services (AWS), R, Python, MatLab, MySQL, GNU/Linux, Apache Spark, AIMMS/GAMS, Kubernetes

🔗 Links

Hi, I'm Vitali! 👋

🚀 About Me

Highly skilled Data Scientist/ML Engineer specialised in statistics, cloud/Big Data computing, optimisation, simulation, and software engineering.

Hands-on experience with many programming, modelling, and database languages including R, Python, MatLab, SQL, AIMMS/GAMS with their various accompanying packages. Proficient in data aggregation, visualization, statistical/ machine learning, and optimisation techniques applied to energy, finance, and supply chain/logistics sectors.

Well-versed with Linux (Kali) and cloud-based programming techniques in Amazon Web Services (AWS), distributed Machine Learning (Apache Spark), and Deep Learning (Keras/TF).

Excellent writing, verbal and communication skills. Has very good interpersonal and transferable skills demonstrated by the outcome/impact of conducted work both verbally and through infographics/presentation.

Contributing

Contributions are always welcome!

See contributing.md for ways to get started.

Please adhere to this project's code of conduct.

Deployment

Coming soon...

Documentation

Coming soon...

Environment Variables

To run this project, you will need to add the following environment variables to your .env file

Feedback

If you have any feedback, please reach out to us at [email protected]

Roadmap

• Additional utility functions

• more things to come

Run Locally

Clone the project

  git clone https://github.com/vitali87/utility.git

Go to the project directory

  cd utility

Install dependencies

make install

Support

For support, email [email protected] or send a message to my LinkedIn

Support my work

If you find this project helpful and would like to support my work, you can buy me a coffee: