Development Agency Python

Do you have a Python project? Call upon our back-end developers to assist you in its realisation.

Python, for all uses

We use Python to develop back-ends for web and mobile applications (with the Django or Flask frameworks), to develop production Data Science algorithms, or for automation tasks.
Python

3 reasons to choose Python

Python is widely used

Python is one of the 3 most widespread languages in the world, according to the Stack Overflow 2023 survey. It has a rich ecosystem of libraries and a strong community, which makes it easy to find solutions to common problems.

Python is simple

Python is a language simple and easy to learn. Its syntax is clear and concise. This allows it to be quickly accessible to new developers.

Python is multi-purpose

Python is used in many areas, including web development, data analysis, artificial intelligence, and automation.

Some projects realised with Python

01

Risk calculation algorithms

Maintenance and evolution of the algorithm dedicated to financial advice during the construction of a portfolio of shares and monetary funds.

  • Verification of data provided by clients in order to offer them a portfolio of financial products tailored to their expectations
  • Optimisation of the algorithm to validate the expected benchmarks
  • Ongoing maintenance and improvement of monitoring tools

  • Optimisation
02

Laboté

Redesign of the Laboté cosmetics brand's e-commerce site.

Tech stack:

  • Back-end: Python with the Django framework
  • Back-office : Django Admin
  • Front-end : Next.js

  • Redesign
03

Robot Yomy.care

Design and development of Computer Vision models integrated into the robot Yomy, connected dispenser of wet and dry food for cats.

  • Implementation and training of classification models (ResNet / MobileNet convolutional neural networks) dedicated to the recognition of a cat in images captured by the robot
  • Construction of a model for identifying and differentiating several cats from the same household (Siamese networks, model chains)
  • Optimisation of architectures under embedded hardware constraints

  • AI

Our Python experts

  • Guillaume CaulierCTO Orki
  • Aurélien RobineauFull-stack developer
  • Tina AlaeiTech Lead
  • Paul BeslinTech Lead
  • Florian EhrTech Lead
  • Alexis QuestFull-stack developer
  • Cyrvan BouchardFull-stack developer
  • Alex SalmonFull-stack developer
  • Alexis Theas-LabanFull-stack developer
  • Antoine LiuTech Lead
  • Baptiste VilbouxTech Lead
  • Benjamin DrighèsPartner & CTO AI
  • Guillaume FaugerasAI Engineer
  • Molly AllerhandFull-stack Developer
  • Timothée LanguilleAI Engineer
  • Côme LassaratAI Engineer
  • Valentin LepillerFull-stack developer
  • Johary RamamonjyAI Engineer
  • Julien ChapuyAI Engineer
  • Horace BelotAI Engineer
  • Antoine ToussaintFull-stack developer
  • Rémy MeriauFull-stack developer
  • Quentin MassonnatAI Team Lead
  • Raphaël GiavariniFull-stack developer
  • Maud BergonzoliFull-stack Developer
  • Grégoire BellonFull-stack developer
  • Léandre PerrotFull-stack developer
  • Joseph LarueFull-stack developer
  • Félix MonnierAI Team Lead
  • Vincent GallotFull-stack developer
  • Théo HelaineFull-stack developer
  • Augustin CramerAI Engineer
  • Jean-Baptiste HammannFull-stack developer
  • Bilal Ben NasrAI Engineer
  • Clément DesnouesFull-stack developer
  • Marc-César Garcia-GrenetAI Team Lead
  • Maceo DuriezAI Engineer
  • Timothée BlanchyAI Engineer
  • Hillel PartoucheAI Engineer
  • Rayan El RawasAI Engineer
  • Mathis CatalFull-stack developer
  • Julien SchmittAI Engineer
  • Rémi JupinFull-stack developer
  • Thibault Le Sellier de ChezellesAI Engineer
  • Simon Zarka-ArthusFull-stack developer
  • Marceau Lafargue-HauretFull-stack developer
  • Romain BenoitFull-stack developer
  • Paul MasseyFull-stack developer
  • Clément MegemontAI Engineer
  • Maël ChampagneFull-stack developer
  • Surya AmbroseHead of Engineering
  • Rodolphe DurandAI Engineer
  • Matthieu VarenneAI Engineer
  • Jérôme AugusteAI Engineer
  • Maël LavialleAI Engineer
  • Mathis DubuissonFull-stack developer
  • Dan TimsitAI Engineer
  • Pierre-Louis VidalFull-stack developer
  • Richard PholvichithAI Engineer
  • Valentin Mulet-BenzoFull-stack developer
  • Cassiano Hildebrand dos SantosFull-stack developer
  • Axel SollTech Lead
  • Adam Ben MchichiFull-stack developer
  • Antoine LegoupilFull-stack developer
  • Xiu-Heng HuaFull-stack developer
  • Rémi BranjonneauFull-stack developer
[FAQ]

Frequently Asked Questions about Python

Python is a high-level, interpreted, object-oriented programming language. It was created by Guido van Rossum and first released in 1991. Python is designed to be easy to read and write, with a clear and simple syntax. It is used in various fields such as web development, data analysis, artificial intelligence, and much more.
The name Python comes from the television series Monty Python's Flying Circus. Guido van Rossum, the creator of Python, was a fan of this series.
Python is an interpreted language, which means that the code is executed line by line by an interpreter, rather than being compiled into an executable file. This makes the development cycle faster, as there is no need for a compilation phase.
Yes, Python is widely used in web development. Frameworks such as Django and Flask allow for the creation of complex web applications with Python.
Python 2 and Python 3 are two versions of the language. Python 2 has not been maintained since January 2020, and most new features and libraries are developed for Python 3. Both versions have some syntactic and functional differences, so it is recommended to choose Python 3 for new projects.
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