Welcome!

Python Authors: Pat Romanski, Matt Davis, AppDynamics Blog, Donald Meyer, Liz McMillan

Related Topics: @DevOpsSummit, Microservices Expo, Machine Learning , Python

@DevOpsSummit: Blog Post

Your #Python Performance By @Monitis | @DevOpsSummit #DevOps #Containers #Microservices

Python is really a language which has swept the scene in recent years in terms of popularity, elegance, and functionality

Seven Ways to Improve Your Python Performance

Python is really a language which has swept the scene in recent years in terms of popularity, elegance, and functionality. Research shows that 8 out 10 computer science departments in the U.S. now teach their introductory courses with Python, surpassing Java. Top-ranked CS departments at MIT and UC Berkeley have switched their introductory courses to Python. And the top three MOOC providers (edX, Coursera, and Udacity) all offer introductory programming courses in Python. Not to mention, Python is known to have an easy syntax that makes learning much more tolerable, and it scales up easily – especially in cloud-based environments.

python1

As powerful as Python is, there’s always room for improvement. If you want to make your Python code even faster and more efficient, then stay tuned. Below we’ve listed 7 ways to improve the performance of your Python environment. Read on!

1. Use some of Python’s “speedup” applications

Python has developed a reputation as a solid, high-performance language. Lots has been done in recent years to get to this point. The PyPy project aims to speed up Python as a whole (and is doing a great job of it). And Numba is another tool that can offer amazing speedups by implementing high performance functions written directly in Python.

2. Using generators & sorting with keys

Generators are helpful in memory optimization because they allow you to create a function that returns one item at a time rather than all the items at once. A good example would be when you’re creating a large list of numbers and adding them together.

Also, when you’re sorting items in a list, be sure to use keys and the default sort() method whenever possible. In the following, notice that in each case the list is sorted according to the index you select as part of the key argument. This approach works just as well with strings as it does with numbers:

import operator

somelist = [(1, 5, 8), (6, 2, 4), (9, 7, 5)]

somelist.sort(key=operator.itemgetter(0))

somelist

#Output = [(1, 5, 8), (6, 2, 4), (9, 7, 5)]

somelist.sort(key=operator.itemgetter(1))

somelist

#Output = [(6, 2, 4), (1, 5, 8), (9, 7, 5)]

somelist.sort(key=operator.itemgetter(2))

somelist

#Output = [(6, 2, 4), (9, 7, 5), (1, 5, 8)],

3. Using the latest releases of Python

Python is maintained through a community of developers who are committed to keeping the software current and robust. Each new release of the language is technically going to be faster and more optimized than before, so it’s a good idea to plan your move. Just be sure that your favorite supporting libraries are compatible with the newest versions.

python2

4. Avoid unwanted loops

The consensus is out that too much looping in any programming language is not a good thing, and puts unnecessary strain on your server. Some simple tweaks like storing the length of an array in a different variable instead of making it read the length at every iteration of the loop, can go a long way to optimizing your code and ensuring things run much more efficiently. Also, try refactoring your code to use intersections and unions. For example, instead of this:

for x in a:

for y in b:

if x == y:

yield (x,y)

Try this instead:

return set(a) & set(b)

5. Try out multiple coding approaches

It’s typical to employ the same general coding techniques throughout your application. But why not try a little experimentation to see if one technique is better or more optimal than another. This will help keep you sharp and innovative in your approaches to coding, no matter what language you’re working in. By learning to “think outside the box” you’ll creatively apply new coding techniques to obtain faster results with your applications.

6. Keep Python code small and light

It is often the case in programming that simplest is fastest. In this day and age performance is critical and it’s especially important to keep your Python code as compact as possible to reduce latency and speed things up. One article provides some organizing questions that are worth asking in the development stage: “Do we really need this module?”, “Why are we using this framework? Is it worth the overhead?”, “Can we do this in a simpler way?”

7. Cloud-based application performance monitoring

Your Python-based applications and websites are only as good as the performance of your infrastructure, which is why application performance is too important to leave to chance. What this requires is the best-in-class monitoring capability for all your IT systems. That’s exactly what you’ll find in Monitis. As the trusted leader in this market, Monitis offers a 24/7 cloud-based monitoring platform for websites, servers, applications, and networks. Through an easy to follow and intuitive web-interface, Monitis tracks all of your business-critical applications to ensure everything is running optimally and that you’re alerted to issues long before your customers are.

python3

Read the original blog entry...

More Stories By Hovhannes Avoyan

Hovhannes Avoyan is the CEO of PicsArt, Inc.,

IoT & Smart Cities Stories
Founded in 2000, Chetu Inc. is a global provider of customized software development solutions and IT staff augmentation services for software technology providers. By providing clients with unparalleled niche technology expertise and industry experience, Chetu has become the premiere long-term, back-end software development partner for start-ups, SMBs, and Fortune 500 companies. Chetu is headquartered in Plantation, Florida, with thirteen offices throughout the U.S. and abroad.
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
SYS-CON Events announced today that DatacenterDynamics has been named “Media Sponsor” of SYS-CON's 18th International Cloud Expo, which will take place on June 7–9, 2016, at the Javits Center in New York City, NY. DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
A valuable conference experience generates new contacts, sales leads, potential strategic partners and potential investors; helps gather competitive intelligence and even provides inspiration for new products and services. Conference Guru works with conference organizers to pass great deals to great conferences, helping you discover new conferences and increase your return on investment.
DXWorldEXPO LLC announced today that ICOHOLDER named "Media Sponsor" of Miami Blockchain Event by FinTechEXPO. ICOHOLDER gives detailed information and help the community to invest in the trusty projects. Miami Blockchain Event by FinTechEXPO has opened its Call for Papers. The two-day event will present 20 top Blockchain experts. All speaking inquiries which covers the following information can be submitted by email to [email protected] Miami Blockchain Event by FinTechEXPOalso offers sp...
Headquartered in Plainsboro, NJ, Synametrics Technologies has provided IT professionals and computer systems developers since 1997. Based on the success of their initial product offerings (WinSQL and DeltaCopy), the company continues to create and hone innovative products that help its customers get more from their computer applications, databases and infrastructure. To date, over one million users around the world have chosen Synametrics solutions to help power their accelerated business or per...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
@DevOpsSummit at Cloud Expo, taking place November 12-13 in New York City, NY, is co-located with 22nd international CloudEXPO | first international DXWorldEXPO and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time t...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
SYS-CON Events announced today that IoT Global Network has been named “Media Sponsor” of SYS-CON's @ThingsExpo, which will take place on June 6–8, 2017, at the Javits Center in New York City, NY. The IoT Global Network is a platform where you can connect with industry experts and network across the IoT community to build the successful IoT business of the future.