Pandas
Data analysis and manipulation
When it comes to large scale data manipulation and analysis, we often opt for Pandas. It’s best at handling tabular data like spreadsheets and SQL tables, making it an essential tool for applications in finance and statistics.
Financial data analysis
time series analysis, portfolio management, risk assessment.
Data cleaning
finding missing values, filtering data, transforming data.
Preparing training data for ML
data normalization and manipulation.
NumPy
Data analysis and manipulation
NumPy is a perfect module for carrying out complex mathematical operations that our developers use to make statistical analysis and numerical computing precise and efficient. Astrophysics, bioinformatics, and complex engineering tools are rarely built without NumPy.
Detecting fraud
spotting abnormal credit card activity
Recommendation systems
suggesting products and services in ecommerce and streaming applications
Flask
Web development
Flask is our go-to option for creating robust medium-sized web applications. This flexible framework allows for quick development of APIs and custom lightweight backend systems without the hassle of configuring larger frameworks.
Rest API
developers use Flask to develop RESTful APIs to send data to the frontend.
Blogs and social media platforms
Pinterest, Reddit and Linkedin use Flask to power their web apps.
In contrast to Flask, Django is catered towards building large applications with a range of features. It’s a preferred choice for large ecommerce projects and enterprise-level systems that require advanced authentication and security functionalities.
Django
Web development
Document management systems
Django powers Dropbox, world-renowned cloud storage provider
Ecommerce platforms
Django excels at handling heavy traffic and processing large volume of transactions
TensorFlow
Machine Learning and Artificial Intelligence
TensorFlow has become a staple in the world of machine learning model training and development. Its extensive functionality allows our engineers to create sophisticated neural networks and custom ML models for image recognition, recommendation systems, anomaly detection, and more.
- Image recognition: pattern matching to identify images for complex medical diagnosis applications and banking security systems
- Voice recognition: automatic speech recognition for telecom, mobile companies, and security systems.
- Vide detection: self-driving car systems and movement detection for security systems.
PyTorch
Machine Learning and Artificial Intelligence
PyTorch is a TensorFlow alternative for more ambitious and unorthodox projects that call for rapid iteration, experimentation, and academic approach. Our team often uses PyTorch to quickly create prototypes and test ideas.
- Academia: powering research and innovation in computer vision and reinforcement learning
- Natural Language Processing: providing ready-to-use libraries for text classification and language translation
SciPy
Scientific and technical computing
SciPy allows our developers to tap into the realm of high-level computing tasks. SciPy augments NumPy’s capabilities by providing a range of additional sophisticated functions that help solve complex mathematical problems.
- Real estate forecasting: regression model to predict house sale prices
- Predictive maintenance: analyzing IoT data to detect and predict heavy machinery failure
Beautiful Soup
Web scraping
Beautiful Soup excels at parsing and extracting data from HTML and XML documents, making it a reliable tool for monitoring website activity, automating data collection, and streamlining dataset creation.
- Scraping competitor data: tracking competitor prices in real time to adjust pricing strategy accordingly
- Predictive Understanding consumer sentiment: tracking user behavior on social media platforms to understand their
Visualization and graphical representations
Matplotlib is a Python library used to transform data into plots, charts, interactive figures, histograms and other visualizations. It can be seamlessly integrated with a range of backends and customized down to layout styles, making it easily interoperable with your existing ecosystem.
- Financial applications: visualizing financial market dynamics and stock trends
- Sports analytics: creating bar charts and plotting progressions to visualize performance statistics
Make Python modules work for you by leveraging code reusability, maintainability, and scalability
The wide selection and high quality of Python modules is what makes Python one of the most sought-after programming languages. By having dedicated modules for all essential development tasks, the code becomes easier to produce, organize, maintain, update, reuse, and understand.
However, realizing the full potential of Python comes down to having hands-on experience with a full range of libraries and frameworks that this language has to offer. Partner with us to ensure your solution performs at peak performance at all times.