Useful Python Packages

useful_packages.md

Some Use(r)ful Python Packages

Package	Subject
Peewee	Database
Django REST framework	Backend
Eli5	Machine Learning
Pandas Profiling	Data Visualization
Streamlit	Web-apps for ML
Schedule	In-process scheduler
Faster-than-Requests	Faster than Requests
Lux	Data Visualization.
Cookiecutter	Python project template
Questionary	Question CLI
Rich	Pretty CLI
JMESPath	Query language for JSON
nbAQ	Jupyter Notebook Formatter
Pretty Table	Pretty Table
Jupyter Compare View	Jupyter Compare View.

---

Peewee

• Description:
  • Peewee is a simple and small ORM. It has few (but expressive) concepts, making it easy to learn and intuitive to use.
• Link:
  • http://docs.peewee-orm.com/en/latest/index.html

---

Django REST framework

• Description:
  • Django REST framework is a powerful and flexible toolkit for building Web APIs.
• Link:
  • https://www.django-rest-framework.org/

---

Eli5

• Description:
  • ELI5 is a Python library which allows to visualize and debug various Machine Learning models using unified API.
• Link:
  • https://eli5.readthedocs.io

---

Pandas Profiling

• Description:
  • Generates profile reports from a pandas DataFrame. The pandas df.describe() function is great but a little basic for serious exploratory data analysis. pandas_profiling extends the pandas DataFrame with df.profile_report() for quick data analysis.
• Link:
  • https://pandas-profiling.github.io/pandas-profiling

---

Streamlit

• Description:
  • Streamlit is an open-source Python library that makes it easy to build beautiful custom web-apps for machine learning and data science.
• Link:
  • https://docs.streamlit.io/

---

Schedule

• Description:
  • Python job scheduling for humans.
• Link:
  • https://schedule.readthedocs.io/en/stable/

---

Faster-than-Requests

• Description:
  • Simple HTTP library, but faster.
• Link:
  • https://github.com/juancarlospaco/faster-than-requests

---

Lux

• Description:
  • Lux is a Python library that makes data science easier by automating aspects of the data exploration process.
• Link:
  • https://github.com/lux-org/lux

---

Cookiecutter

• Description:
  • A command-line utility that creates projects from cookiecutters (project templates), e.g. creating a Python package project from a Python package project template.
• Link:
  • https://github.com/cookiecutter/cookiecutter

---

Questionary

• Description:
  • Questionary is a Python library for effortlessly building pretty command line interfaces
• Link:
  • https://questionary.readthedocs.io/en/stable/

---

Rich

• Description:
  • Rich is a Python library for writing rich text (with color and style) to the terminal, and for displaying advanced content such as tables, markdown, and syntax highlighted code.
• Link:
  • https://rich.readthedocs.io/en/latest/

---

JMESPath

• Description:
  • JMESPath is a query language for JSON.
• Link:
  • https://jmespath.org/

---

nbQA

• Description:
  • Run isort, pyupgrade, mypy, pylint, flake8, mdformat, black, blacken-docs, and more on Jupyter Notebooks
• Link:
  • https://nbqa.readthedocs.io/en/latest/readme.html

---

Pretty Table

• Description:
  • Prints prettier tables
• Link:
  • https://github.com/jazzband/prettytable

---

Jupyter Compare View

• Description:
  • Interactive comparison of images
• Link:
  • https://github.com/jazzband/prettytable

---