CALL US
Get Free Quote

Python Development: 7 Less-Known-Yet-Helpful Libraries

TRueUntitled design (2).png

Django continues to be the pick of libraries for Python developers. However, there are some not-so-well-known libraries that happened to gain traction among Python developers in 2016. In this blog, I am unveiling 7 Python libraries, excluding the established ones like Django, Flask, etc, that Python developers may find worth considering in 2017.

7 Less-Known-Yet-Helpful Python Libraries for 2017

#1 Arrow

Mobile apps are everywhere, and are often meant for global population - be it for games, social media, health monitoring and whatnot. However, the problem with the standard data/time library for Python is that it doesn’t meet the requirements of modern apps that have their target audience living in different regions and countries. Arrow is one of the libraries to battle with this problem. It comes packed with features that simplify creation, formatting, manipulation and conversion of data, time and time stamps.

The library replaces the need for datetime type that supports Python 2 or 3. With Arrow, developers can convert one time zone to another at ease. Besides, Arrow’s date, time and calendar modules open gates to hassle-free internationalization of applications.

#2 TensorFlow

TensorFlow, launched by Google in November 2015, is an open-source software library for numerical computation. It’s been just over a year since TensorFlow was launched, but the library has already witnessed considerable popularity among Python developers. As a matter of fact, TensorFlow is one of the trendiest GitHub Python repositories.

The library uses data flow graphs capable of running over GPUs and CPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers in Google's Machine Intelligence research organization for machine learning and deep neural networks research. Although TensorFlow has created ripples in the machine learning community, it has proved to be a good fit for production applications as well.

#3 Zappa

The release of AWS Lambda brought serverless architecture to the fore. Zappa is often said to be the next evolution of application deployment for Python web applications. Rich Jones, the principal author of Zappa and the CTO of Gun.io, said in an interview, “I believe that serverless architectures - that is to say, systems without any permanent infrastructure - are the future of network applications”.

 

With Zappa, deployment of all Python WSGI applications on AWS Lambda + API Gateway becomes a doddle. The library rids the need of spending hundreds or even thousands of dollars on VPS services like Linode or PaaS services like Heroku. In even simpler words, we can say that Zaapa allows deployment of microservices on the cloud without any hassles of server management. Zappa is faster and scalable, too.

#4 Peewee

Peewee is a simple, expressive ORM for Python and supports SQLite, MySQL, and PostgreSQL. A database is often must for applications that use external data. However, it’s a very challenging task to get and set data from a database through ad hoc connection strings. Here comes Peewee to rescue. The library makes it possible for developers and database engineers to use a safe, programmatic approach to access database resources using a set of intuitive Python classes.

Developers who have previously created a database in SQLAlchemy would agree that it’s much easier to create a database in Peewee. Peewee is also a fit for the Flask web framework.

Click here to learn how to create a database in Peewee

#5 Sanic + uvloop

Sanic is a Flask-like, uvloop-based web framework that makes Python fast. Sanik, designed for Python 3.5, allows developers to build on async/await syntax for defining asynchronous functions. Before Sanic, Python had no way to go so fast. Another library, uvloop, serves as a blazingly fast drop-in replacement for asyncio’s default event loop.

 

Sanik enables developers to write async applications in Python in a way that is very similar to how they would write them in Node.js. However, going by the Sanic author’s benchmark, uvloop is well capable of handling over 33k requests/sec, which is way more than the capability of Node.js. Since Sanic is still new, more improvements and changes are highly likely to be made into it in near future. You can also contribute to its open source repository.

# 6 Bokeh

You may know that Python offers some libraries, like matplotlib and seaborn, for data visualization. However, Bokeh is a library that is specifically designed for interactive visualization that targets modern web browsers for presentation. Developers can use Bokeh for creating top-notch novel graphics in a way that is much similar to the style of D3.js. Besides, you can extend this capability with high-performance interactivity over very large or streaming datasets.

You may like to give Bokeh a try for creating interactive plots, dashboards, and data applications. Developers can also use Bokeh for transforming visualization written in other libraries, like Matplotlib, Seaborn and ggplot. Bokeh also helps in research by nicely integrating with Jupyter Notebooks.

#7 Blaze

Blaze targets database and array technologies used for analytics queries. NumPy and Pandas don’t help when it comes to running analytics over a dataset that is too big to fit in our computer’s memory. In such a case, developers often resort to PostgreSQL, MongoDB, Hadoop, Spark, out-of-disk storage systems (PyTables and BColz), etc.

However, it’s a very challenging task to understand how each system works and enters data into the proper form. Due to lack of learning about how to mix and migrate data between new technologies, it becomes very difficult to derive effective results from data analytics. Blaze ends this predicament by providing a uniform interface to database scaling and abstractions for migrating data. Blaze is a good option for expressing computations.

 

Although there are many other less-known-yet-effective Python libraries, like Gym + Universe, Boto3, Hug, Scrapy, Beautiful Soup and many more, I have picked only seven as the blog could go endless. Python developers can explore these libraries to see if they fit into their needs and choose accordingly.


Have you ever used any of the above seven libraries before? Do you want to add more to what’s already being discussed? Please share your views in the comment box below.

Apache Hadoop vs Apache Spark: Two Popular Big Dat...
7 Frameworks for Automated PHP Testing

Related Posts

Comments

 
No comments yet
Already Registered? Login Here
Guest
Saturday, 13 April 2024
If you'd like to register, please fill in the username, password and name fields.

SEARCH BLOG

development Salesforce CRM offshore software development business offshore software development company outsourcing software C++ application java Cloud computing apps web Big Data Analytics web development mobile app development custom J2ee cloud Big Data app development mobile app development company IT developers IT consulting and software development developer javascript website project management Evon Technologies Salesforce customization QA Offshore development India software development NodeJs consultant Salesforce consulting Software development and testing testing Product Development Web 3.0 Automation Offshore development programming Android development Web app development Salesforce Cloud Services mobile Salesforce CRM Offshore software development services enterprise Salesforce Mobile Development Joomla developers MVP Development QA and Testing business analysts consulting Python Agile Development Blockchain EmployeeEngagement Salesforce cloud Agile product Development project management methodology startups DevOps data Salesforce development digital marketing services language iOS apps Progressive Web Apps digital marketing services india data security offshore risk management Salesforce Lightning Social Media Marketing software development outsourcing QA services Findnerd React.js Responsive web design Popular CMS salesforce apps mobile app testing Android app development outsourcing Staff Augmentation Collaboration Azure React Native applications PHP development Big Data Cloud Database & Computing | c++ language Marketing Automation Services Casestudy Digital Marketing Business Growth EPLcricket

Our Team

We are a group of technology experts committed to designing, developing and delivering solutions for our clients, since the year 2006. Our team of 425+ stays ahead of the ever-evolving technology landscape it works in. Thus, we keep honing and expanding our expertise in order to cater to both startups as well as established enterprises. Know more about us here.

Certifications

  •   CMMI - Level 3
  •   ISO 27001 : 2013
  •   ISO 9001 : 2015

Get in Touch

  +91 97199 65550

  +44 203 372 4609

  +1 408 454 6110

 (HR) +91 8266041801

  evontech

 This email address is being protected from spambots. You need JavaScript enabled to view it.

  A- 5, IT Park, Dehradun, Uttarakhand, India, PIN - 248001.

follow us on

We are proud to allocate our CSR funds to support the PM's Citizen Assistance and Relief in Emergency Situations Fund for the FY 2022-23.

PMCares logo
×
We use cookies on our website to provide you with a more personalised digital experience and for analytics related to our website and other media. For more information, please review our Privacy Policy and Cookies Policy.