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Hire Freelance Experts in Python Development Services

David Mihal

Freelance Expert in Python Development Services

United StatesToptal Member Since April 16, 2016

David has been developing websites and web applications for all of his adult life. As a software engineer, he's worked for many diverse software companies from early-stage startups to Google. David is experienced with many web frameworks and environments, but he particularly enjoys developing with Meteor.js. He appreciates the importance of quality code as well as the need to meet scheduling demands.

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Abhimanyu Veer Aditya

Freelance Expert in Python Development Services

United StatesToptal Member Since March 7, 2019

Abhimanyu is a machine learning expert with 15 years of experience creating predictive solutions for business and scientific applications. He’s a cross-functional technology leader, experienced in building teams and working with C-level executives. Abhimanyu has a proven technical background in computer science and software engineering with expertise in high-performance computing, big data, algorithms, databases, and distributed systems.

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Daniel Ramteke

Freelance Expert in Python Development Services

United StatesToptal Member Since January 28, 2019

Daniel has several years of experience developing for iOS and servers. He's contributed to several apps on the app store. Daniel values teamwork, communication, clean code, and getting things done.

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Josh Gachnang

Freelance Expert in Python Development Services

United StatesToptal Member Since June 13, 2018

Josh was the first engineering hire at Triggr Health, a startup working to support people going through addiction recovery and mental health issues. With previous professional experience at Triggr and Rackspace, he has done back-end, front-end, mobile, and DevOps development. Josh learns quickly and focuses on delivering impactful features.

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Justin Michela

Freelance Expert in Python Development Services

United StatesToptal Member Since March 28, 2018

Justin is a technical professional with a passion for learning and 15+ years of experience leading teams to build enterprise-grade distributed applications that solve real-world problems. He is a firm believer that collaboration across all facets of a business, from development to marketing to sales, is required to succeed in this endeavor.

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Chris Green

Freelance Expert in Python Development Services

United StatesToptal Member Since April 17, 2018

Chris is a seasoned development leader who will hustle with unlimited intensity to achieve your objectives. Over the past two decades, he's delivered results and left lasting quantitative/qualitative SDLC improvements. Chris values transparency in information and openness in collaboration. He's well organized, works aggressively, and always wears a smile. Fail early. Keep it simple. Refactor, refactor, refactor. Test, test, test.

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Nicholas Wakeman

Freelance Expert in Python Development Services

United StatesToptal Member Since July 28, 2017

Nick's been architecting and developing applications for over a decade, working in both PHP and Python. In addition to a rich full-stack skill set, his business acumen and ability to communicate effectively with clients and stakeholders regardless of their technical knowledge sets him apart from the rest. Over the last few years, he's especially enjoyed being able to do some exceptional work in both enterprise applications and interface design.

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Matthew Alhonte

Freelance Expert in Python Development Services

United StatesToptal Member Since June 20, 2018

Matt has officially worked as a Python-based data scientist for the past six years; however, he's spent the last ten at the intersection of stats and programming (before the term data scientist had caught on). He combines strong technical skills with a rigorous background in experiment design and statistical inference. More recently, he's been focusing on machine learning, including some natural language processing and computer vision.

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Seth Boyd

Freelance Expert in Python Development Services

United StatesToptal Member Since January 24, 2019

Seth is a Salesforce consultant specializing in the process creation and implementation of data-driven businesses. With over eight years of experience and a love for efficient problem solving, he would be a great addition to any project. Seth believes that communication, first and foremost, is the key to success when working with a client, but a consistent work schedule and working in sprints are also helpful to keep everyone on the same page.

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Matthew Warkentin

Freelance Expert in Python Development Services

United StatesToptal Member Since February 12, 2019

Since 2014, Matthew has been working professionally in the fields he loves, software and data—culminating in him co-founding the Rubota corporation in 2017. Before that, he spent the past decade at Cornell University conducting scientific research specifically in statistical and biological physics. All in all, Matthew is an engaging, intense communicator with a passion for knowledge and understanding.

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A Hiring Guide

Guide to Hiring a Great Expert in Python Development Services

Toptal helps you hire proven Python programmers on demand. See why top companies and startups trust Toptal to help them scale their teams.

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... allows corporations to quickly assemble teams that have the right skills for specific projects.

Despite accelerating demand for coders, Toptal prides itself on almost Ivy League-level vetting.

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Testimonials

Tripcents wouldn't exist without Toptal. Toptal Projects enabled us to rapidly develop our foundation with a product manager, lead developer, and senior designer. In just over 60 days we went from concept to Alpha. The speed, knowledge, expertise, and flexibility is second to none. The Toptal team were as part of tripcents as any in-house team member of tripcents. They contributed and took ownership of the development just like everyone else. We will continue to use Toptal. As a start up, they are our secret weapon.

Brantley Pace, CEO & Co-Founder

Tripcents

In addition to sharp technical skills, Faruk had a great attitude and is a really exceptional communicator. He always let us know where he was with his work, thoroughly and reliably. That's not always the case, and it made working remotely considerably easier. He was an easy integration into the team.

Leif Abraham, Co-Founder

AND CO Ventures Inc

I am more than pleased with our experience with Toptal. The professional I got to work with was on the phone with me within a couple of hours. I knew after discussing my project with him that he was the candidate I wanted. I hired him immediately and he wasted no time in getting to my project, even going the extra mile by adding some great design elements that enhanced our overall look.

Paul Fenley, Director

K Dunn & Associates

The developers I was paired with were incredible -- smart, driven, and responsive. It used to be hard to find quality engineers and consultants. Now it isn't.

Ryan Rockefeller, CEO

Radeeus

Toptal understood our project needs immediately. We were matched with an exceptional freelancer from Argentina who, from Day 1, immersed himself in our industry, blended seamlessly with our team, understood our vision, and produced top-notch results. Toptal makes connecting with superior developers and programmers very easy.

Jason Kulik, Co-Founder

ProHatch

As a small company with limited resources we can't afford to make expensive mistakes. Toptal provided us with an experienced programmer who was able to hit the ground running and begin contributing immediately. It has been a great experience and one we'd repeat again in a heartbeat.

Stuart Pocknee , Principal

Site Specific Software Solutions

We used Toptal to hire a developer with extensive Amazon Web Services experience. We interviewed four candidates, one of which turned out to be a great fit for our requirements. The process was quick and effective.

Abner Guzmán Rivera, CTO and Chief Scientist

Photo Kharma

Sergio was an awesome developer to work with. Top notch, responsive, and got the work done efficiently.

Dennis Baldwin, Chief Technologist and Co-Founder

PriceBlink

Working with Marcin is a joy. He is competent, professional, flexible, and extremely quick to understand what is required and how to implement it.

André Fischer, CTO

POSTIFY

We needed a expert engineer who could start on our project immediately. Simanas exceeded our expectations with his work. Not having to interview and chase down an expert developer was an excellent time-saver and made everyone feel more comfortable with our choice to switch platforms to utilize a more robust language. Toptal made the process easy and convenient. Toptal is now the first place we look for expert-level help.

Derek Minor, Senior VP of Web Development

Networld Media Group

Toptal's developers and architects have been both very professional and easy to work with. The solution they produced was fairly priced and top quality, reducing our time to launch. Thanks again, Toptal.

Jeremy Wessels, CEO

Kognosi

We had a great experience with Toptal. They paired us with the perfect developer for our application and made the process very easy. It was also easy to extend beyond the initial time frame, and we were able to keep the same contractor throughout our project. We definitely recommend Toptal for finding high quality talent quickly and seamlessly.

Ryan Morrissey, CTO

Applied Business Technologies, LLC

I'm incredibly impressed with Toptal. Our developer communicates with me every day, and is a very powerful coder. He's a true professional and his work is just excellent. 5 stars for Toptal.

Pietro Casoar, CEO

Ronin Play Pty Ltd

Working with Toptal has been a great experience. Prior to using them, I had spent quite some time interviewing other freelancers and wasn't finding what I needed. After engaging with Toptal, they matched me up with the perfect developer in a matter of days. The developer I'm working with not only delivers quality code, but he also makes suggestions on things that I hadn't thought of. It's clear to me that Amaury knows what he is doing. Highly recommended!

George Cheng, CEO

Bulavard, Inc.

As a Toptal qualified front-end developer, I also run my own consulting practice. When clients come to me for help filling key roles on their team, Toptal is the only place I feel comfortable recommending. Toptal's entire candidate pool is the best of the best. Toptal is the best value for money I've found in nearly half a decade of professional online work.

Ethan Brooks, CTO

Langlotz Patent & Trademark Works, Inc.

In Higgle's early days, we needed the best-in-class developers, at affordable rates, in a timely fashion. Toptal delivered!

Lara Aldag, CEO

Higgle

Toptal makes finding a candidate extremely easy and gives you peace-of-mind that they have the skills to deliver. I would definitely recommend their services to anyone looking for highly-skilled developers.

Michael Gluckman, Data Manager

Mxit

Toptal’s ability to rapidly match our project with the best developers was just superb. The developers have become part of our team, and I’m amazed at the level of professional commitment each of them has demonstrated. For those looking to work remotely with the best engineers, look no further than Toptal.

Laurent Alis, Founder

Livepress

Toptal makes finding qualified engineers a breeze. We needed an experienced ASP.NET MVC architect to guide the development of our start-up app, and Toptal had three great candidates for us in less than a week. After making our selection, the engineer was online immediately and hit the ground running. It was so much faster and easier than having to discover and vet candidates ourselves.

Jeff Kelly, Co-Founder

Concerted Solutions

We needed some short-term work in Scala, and Toptal found us a great developer within 24 hours. This simply would not have been possible via any other platform.

Franco Arda, Co-Founder

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How to Hire Experts in Python Development Services through Toptal

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Talk to One of Our Industry Experts

A Toptal director of engineering will work you to understand your goals, technical needs, and team dynamics.
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Within days, we'll introduce you to the right expert in Python development services for your project. Average time to match is under 24 hours.
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Work with your new expert in Python development services for a trial period (pay only if satisfied), ensuring they're the right fit before starting the engagement.

FAQs

  • How are Toptal experts in Python development services different?

    At Toptal, we thoroughly screen our experts in Python development services to ensure we only match you with talent of the highest caliber. Of the more than 100,000 people who apply to join the Toptal network each year, fewer than 3% make the cut. You'll work with engineering experts (never generalized recruiters or HR reps) to understand your goals, technical needs, and team dynamics. The end result: expert vetted talent from our network, custom matched to fit your business needs. Start now.

  • Can I hire experts in Python development services in less than 48 hours through Toptal?

    Depending on availability and how fast you can progress, you could start working with an expert in Python development services within 48 hours of signing up. Start now.

  • What is the no-risk trial period for Toptal experts in Python development services?

    We make sure that each engagement between you and your expert in Python development services begins with a trial period of up to two weeks. This means that you have time to confirm the engagement will be successful. If you're completely satisfied with the results, we'll bill you for the time and continue the engagement for as long as you'd like. If you're not completely satisfied, you won't be billed. From there, we can either part ways, or we can provide you with another expert who may be a better fit and with whom we will begin a second, no-risk trial. Start now.

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Ten Clear Signs That You're Ready to Hire a Python Developer

Generally, any project can be done in any programming language, like Java, C, or Python. However, having a concrete list of technical requirements and business priorities can help you decide which path to take. This guide will outline some of the technical advantages of Python programming, while taking into account what a business might need and signs you might see at different stages of your project.

1. Prototyping and Iterating Quickly

Suppose you have a great idea and you want to make a business out of it. At this stage, your purpose is mostly to understand your customers and get feedback from them as quickly as possible.

Simultaneously, your purpose is to write as little code as possible. Less code means developers having to keep less in mind and being able to refactor more quickly.

Python coding is great exactly because of this: Its terseness allows your developer to move faster and to be more agile in a time when code does not matter as much as ideas and user feedback and engagement.

2. Delivery Mechanism: Web vs. Desktop vs. App

Let’s consider the following scenario: You’re at the inception stage of your application and you want to reach as many clients as possible, so obviously you choose the web as a delivery mechanism.

You're ready to hire a Python developer if you think you'll ever need more than one delivery mechanism for your app, like web, desktop, or mobile.

However, you know that a desktop version would benefit some customers a lot because of some tighter hardware integration your application might need. For instance, it might need to control some hardware appliances.

A similar thought might cross your mind regarding mobile devices or the IoT world, depending on what your application’s domain might be.

What’s for sure is that whether you’ve chosen the web first, or another delivery mechanism, there will be a point further down the line when you will want to offer one or more additional delivery mechanisms.

Python development simplifies this process. A good Python developer will know how to architect the application from the start, so as not to lock it into only one specific delivery mechanism.

3. Cloud Computing

Cloud computing allows businesses to scale up their needs in terms of CPU power, memory, and/or disk space, dynamically and as needed. But it also allows them to scale back down to cut costs when those resources are not needed.

There are many cloud computing providers, each allowing you to meld their infrastructure with your needs at different abstraction levels of your architecture, ranging from the hardware level to the service level. All major cloud computing platforms provide Python libraries for automating scaling up and down of the allocated resources.

If your locally-hosted solution is hitting performance problems, or you need more juice for those long-running cron jobs during the night, you might want to pull in an expert to help you offload and speed up the Python programming you need done.

Cloud computing cannot indefinitely scale up architectures which are by design not scalable—the ones in which scaling up would increase certain requirements exponentially. A Python expert will assess your architecture and suggest using cloud computing where it makes sense, as well as changes in your architecture where up-front scaling could create more damage than improvement.

And if you are already using cloud computing but are still experiencing performance problems, a Python expert with direct experience in distributed systems and architectural refactoring will know how to solve them.

4. DevOps with Python, or Even a “Pythonic” Shell

DevOps is the domain that combines programming with infrastructure. It’s used to put machines in a certain state (installed packages, firewall rules, running processes, configuration files, etc.) and usually operates in the realm of a cloud. The intention is normally making all the relevant machines work in concert to solve a business problem.

We call the action of making a machine be in a specific state provisioning that machine. The go-to solution for provisioning machines in the Python ecosystem is called Ansible, which is itself also developed in Python and, by the law of least resistance, can also be extended and adapted with Python code.

Ansible “playbooks” are easy to write, understand, extend, and run in parallel on multiple machines. They have no special requirements besides a machine being ssh-accessible and having the standard Python interpreter installed. Once your machines finish executing a given playbook successfully, they are guaranteed to be set in the state described by the playbooks.

If this kind of control is not enough, not even by extending Ansible with modules, then a Python programmer can dig even deeper and use libraries like Paramiko for ssh access directly.

If this kind of control is too low-level, not to worry. Python has your back with xonsh (pronounced “conch”), a bash-facing shell written in Python in which you can actually run Python code, beside the regular process-control jobs a shell is meant to be used for. Being able to run Python code means that you can import and call any packages there might be installed on the system, with the added benefit of being able to write well-structured shell scripts that are more robust and predictable.

Provisioning anything from cloud infrastructure to on-premise appliances, a Python developer will know how to automate it effectively.

5. Machine Learning

Machine learning allows your business to analyze and understand a larger amount of data, and Python is here to cover your needs.

From web scraping to sentiment analysis, from search engines to recommendation engines, from speech to image recognition, from constructing mathematical models based on historical data to timeseries forecasting, the Python ecosystem has taken its motto “batteries included” to a new level, by providing libraries and tools for all of these contexts.

If your existing project uses one or more of the following libraries, then you are ready to hire a data scientist with Python knowledge. The same applies if your project doesn’t use any machine learning yet, but the concepts mentioned below catch your attention.

  • NumPy is a library for numerical computing. At its core is the concept of an N-dimensional array. It can do linear algebra, compute Fourier transforms, and generate random numbers according to more than 30 probability distribution models.

  • Pandas can help load data from many sources, including even Excel tables. It can do data operations that are easy to refactor because its API allows cutting through the data in various ways.

  • SciPy is focused more on the scientific aspect of machine learning, allowing the programmer to compute integrals numerically, to solve differential equations, and to use sparse matrices.

  • Scikit-learn is built on top of such libraries and provides a homogenous framework for a Python programming project, even if it’s merely exploratory. But it’s also a good fit for intensive calculations in a distributed cluster—e.g., it can integrate with Apache Spark.

  • Last but not least, matplotlib can be used to visualize and make sense of your data.

Python packages and libraries cover the whole spectrum of machine learning concepts. This fact has drawn many data scientists and engineers to Python, and this trend continues to grow.

6. Ability to Optimize Later on, as Needed

One aspect which might make you hesitate putting all your bets on Python programming is performance. This, however, can be easily counteracted by rewriting the performance-critical parts of Python modules in C.

This possibility reconciles the need to be able to refactor easily (as mentioned in our first sign above) with the performance requirements you may have. A lot of Python modules employing CPU-intensive algorithms already take this approach. A top Python developer will know how to make such optimizations to your existing code base.

More often than not, you do not need to optimize every last piece of code: It suffices to move some tightly nested loops and the algorithm implemented by them into C modules and leave the outside world in Python. A talented Python developer will notice where to draw a line and which algorithms are worth it. In fact, many machine-learning Python libraries employ this approach by embedding well-known libraries written in C or Fortran.

7. Rich Ecosystem: Libraries, Events, Talented Programmer Pool

Consider the situation in which you have an idea and you need a digital means to let people use your idea. You don’t know what the technical requirements are going to be, but what you do know is that you want to minimize risky scenarios like these:

  • Your only programmer leaves you alone in your project and it is difficult to find a trustworthy replacement.

  • Your enterprise grows too much for your team and you need more programmers to join forces.

  • You start to use a technology, but halfway through the project, you realize some hidden requirements are not supported well by the programming language you had initially chosen.

  • The competition gains an advantage by using a library in a different language than your tech stack supports.

Using Python reduces these risks because there is such a large pool of talented Python programmers to be found online and at conferences and other events. With Python coding, it is also easy to embed external libraries and build on top of battle-tested code, instead of reinventing the wheel.

8. PEP Standards and a Strong Community Further Reduce Risk

Speaking of risk, a more technical solution employed by the Python community to reduce risks are the so-called PEP standards. They are a collection of documents outlining how code should be written, documented, tested, and other processes around crafting programs written in Python.

The risk reduction comes from the fact that, by respecting these standards as a community, it is easier for any Python programmer to hit the ground running when joining a new project or a new company like yours. And since the Python community is tightly knit together, most Python programmers respect these standards—to everyone’s benefit.

If your code base gives signs of not being on par with the latest PEP standards, you should hire a top Python developer to get it into better shape.

9. Strange Program Behavior/The Curse of Duck-Typing

The Python programming language implements a type system called duck typing, meaning that, if a class (a concept used to model real-world ideas in code) looks from the outside like another class, then the two classes in question are compatible.

This is in contrast with stronger kinds of typing as supported by languages like C++, Java, and Rust. Duck typing is an advantage because it allows a smoother refactoring process instead of having to respect strict contracts, but this advantage comes with the caveat that inexperienced programmers might get used to sloppy programming.

By following the train of thought behind duck-typing, classes also allow completely foreign classes inside the same Python process to access and modify any of their properties.

As a consequence, if you have a Python program which sometimes behaves in an inexplicable way, it might be that there’s something else inside your code changing it, disregarding principles of data integrity. Such behavior is difficult to debug, but seasoned Python experts are certainly capable of helping you fix such problems.

10. Tests, Code Coverage, and Technical Debt

Technical debt is the amount of technical change which you delay to implement in code in order to maintain development velocity. Having a few such “warts” in your code is usually harmless, but getting into the habit of maintaining velocity at the cost of technical debt can be dangerous for your digital business.

A test suite is a secondary program which you run before putting the system into a production environment. A well-thought-out and extensive test suite will give you confidence that you’re not going to expose customers to bugs—bugs which might drive them away.

A test suite also protects you from technical debt, in a sense. Suppose that debt has reached an unbearable level for your architecture. If the programmer implements a clean solution for a specific requirement, and the test suite starts to fail when testing parts of code which should be unrelated, then it’s a sign that it’s time to reduce the baggage of technical debt you’ve accumulated over time.

Beside the advantage of signaling technical debt, a test suite also documents the code. Let’s face it, programmers don’t naturally like to write documentation for their code. Even if a programmer writes great documentation during the initial implementation, that documentation will deteriorate in time if changes are made to the code but not to the documentation.

But a test suite is meant to be executed at least before each deployment. For this reason, a test suite also serves as a great means of documenting the code in a way that’s always up to date, runnable, and provably correct. It will also help new team members get on board and become more productive more quickly.

When you execute the test suite, you can turn on what is called code coverage, which generates a report telling you which parts of the code are covered by the test suite, which are not covered, and which are covered too much. The information you get from the code coverage is thus twofold: On one side, you get information about the health of the test suite itself, on the other side you get a sense of how trustworthy the results of your test suite are. For instance, a test suite which has 100% pass rate and 1000 tests is not trustworthy if it only covers 0.1% of the code.

If you have any technical debt or shortcomings in your test suite, then before proceeding with further development, it’s time to add some Python expertise to your project to get that cleared up.

The Whole Is Greater than the Sum of Its Parts

Even though each individual sign we mentioned has value by itself, the biggest advantage in hiring Python developers stems from the ability to create a cohesive technical solution for your business idea with only one programming language.

Instead of having separate tools which cannot interact with each other with ease because they’re created by different programmers with different mindsets and in different languages, you can get a Python developer to attack all your problems in a consistent manner across the board.

Besides technical advantages like code reuse, seasoned Python developers can understand the needs of your business better and make decisions that have enterprise-wide benefits.

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