Text Summarization with Python Training Course
In Python Machine Learning, the Text Summarization feature is able to read the input text and produce a text summary. This capability is available from the command-line or as a Python API/Library. One exciting application is the rapid creation of executive summaries; this is particularly useful for organizations that need to review large bodies of text data before generating reports and presentations.
In this instructor-led, live training, participants will learn to use Python to create a simple application that auto-generates a summary of input text.
By the end of this training, participants will be able to:
- Use a command-line tool that summarizes text.
- Design and create Text Summarization code using Python libraries.
- Evaluate three Python summarization libraries: sumy 0.7.0, pysummarization 1.0.4, readless 1.0.17
Audience
- Developers
- Data Scientists
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Course Outline
Introduction to Text Summarization with Python
- Comparing sample text with auto-generated summaries
- Installing sumy (a Python Command-Line Executable for Text Summarization)
- Using sumy as a Command-Line Text Summarization Utility (Hands-On Exercise)
Evaluating three Python summarization libraries: sumy 0.7.0, pysummarization 1.0.4, readless 1.0.17 based on documented features
Choosing a library: sumy, pysummarization or readless
Creating a Python application using sumy library on Python 2.7/3.3+
- Installing the sumy library for Text Summarization
- Using the Edmundson (Extraction) method in sumy Python Library for Text
Summarization
- Creating simple Python test code that uses sumy library to generate a text summary
Creating a Python application using pysummarization library on Python 2.7/3.3+
- Installing pysummarization library for Text Summarization
- Using the pysummarization library for Text Summarization
- Creating simple Python test code that uses pysummarization library to generate a text summary
Creating a Python application using readless library on Python 2.7/3.3+
- Installing readless library for Text Summarization
- Using the readless library for Text Summarization
Creating simple Python test code that uses readless library to generate a text summary
Troubleshooting and debugging
Closing Remarks
Requirements
- An understanding of Python programming (Python 2.7/3.3+)
- An understanding of Python libraries in general
Open Training Courses require 5+ participants.
Text Summarization with Python Training Course - Booking
Text Summarization with Python Training Course - Enquiry
Text Summarization with Python - Consultancy Enquiry
Consultancy Enquiry
Testimonials (3)
The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)
Matthieu - CS Group
Course - Scaling Data Analysis with Python and Dask
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
Course - Developing APIs with Python and FastAPI
Trainer develops training based on participant's pace
Farris Chua
Course - Data Analysis in Python using Pandas and Numpy
Upcoming Courses
Related Courses
Data Analysis with Python, Pandas and Numpy
14 HoursThis instructor-led, live training in Sweden (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.
By the end of this training, participants will be able to:
- Set up a development environment that includes Python, Pandas, and NumPy.
- Create a data analysis application using Pandas and NumPy.
- Perform advanced data wrangling, sorting, and filtering operations.
- Conduct aggregate operations and analyze time series data.
- Visualize data using Matplotlib and other visualization libraries.
- Debug and optimize their data analysis code.
Developing APIs with Python and FastAPI
14 HoursThis instructor-led, live training in Sweden (online or onsite) is aimed at developers who wish to use FastAPI with Python to build, test, and deploy RESTful APIs easier and faster.
By the end of this training, participants will be able to:
- Set up the necessary development environment to develop APIs with Python and FastAPI.
- Create APIs quicker and easier using the FastAPI library.
- Learn how to create data models and schemas based on Pydantic and OpenAPI.
- Connect APIs to a database using SQLAlchemy.
- Implement security and authentication in APIs using the FastAPI tools.
- Build container images and deploy web APIs to a cloud server.
Scaling Data Analysis with Python and Dask
14 HoursThis instructor-led, live training in Sweden (online or onsite) is aimed at data scientists and software engineers who wish to use Dask with the Python ecosystem to build, scale, and analyze large datasets.
By the end of this training, participants will be able to:
- Set up the environment to start building big data processing with Dask and Python.
- Explore the features, libraries, tools, and APIs available in Dask.
- Understand how Dask accelerates parallel computing in Python.
- Learn how to scale the Python ecosystem (Numpy, SciPy, and Pandas) using Dask.
- Optimize the Dask environment to maintain high performance in handling large datasets.
Accelerating Python Pandas Workflows with Modin
14 HoursThis instructor-led, live training in Sweden (online or onsite) is aimed at data scientists and developers who wish to use Modin to build and implement parallel computations with Pandas for faster data analysis.
By the end of this training, participants will be able to:
- Set up the necessary environment to start developing Pandas workflows at scale with Modin.
- Understand the features, architecture, and advantages of Modin.
- Know the differences between Modin, Dask, and Ray.
- Perform Pandas operations faster with Modin.
- Implement the entire Pandas API and functions.
FARM (FastAPI, React, and MongoDB) Full Stack Development
14 HoursThis instructor-led, live training in (online or onsite) is aimed at developers who wish to use the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.
By the end of this training, participants will be able to:
- Set up the necessary development environment that integrates FastAPI, React, and MongoDB.
- Understand the key concepts, features, and benefits of the FARM stack.
- Learn how to build REST APIs with FastAPI.
- Learn how to design interactive applications with React.
- Develop, test, and deploy applications (front end and back end) using the FARM stack.
Introduction to Google Gemini AI
14 HoursThis instructor-led, live training in Sweden (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to integrate AI functionalities into their applications using Google Gemini AI.
By the end of this training, participants will be able to:
- Understand the fundamentals of large language models.
- Set up and use Google Gemini AI for various AI tasks.
- Implement text-to-text and image-to-text transformations.
- Build basic AI-driven applications.
- Explore advanced features and customization options in Google Gemini AI.
Google Gemini AI for Transformative Customer Service
14 HoursThis instructor-led, live training in Sweden (online or onsite) is aimed at intermediate-level customer service professionals who wish to implement Google Gemini AI in their customer service operations.
By the end of this training, participants will be able to:
- Understand the impact of AI on customer service.
- Set up Google Gemini AI to automate and personalize customer interactions.
- Utilize text-to-text and image-to-text transformations to improve service efficiency.
- Develop AI-driven strategies for real-time customer feedback analysis.
- Explore advanced features to create a seamless customer service experience.
Google Gemini AI for Content Creation
14 HoursThis instructor-led, live training in Sweden (online or onsite) is aimed at intermediate-level content creators who wish to utilize Google Gemini AI to enhance their content quality and efficiency.
By the end of this training, participants will be able to:
- Understand the role of AI in content creation.
- Set up and use Google Gemini AI to generate and optimize content.
- Apply text-to-text transformations to produce creative and original content.
- Implement SEO strategies using AI-driven insights.
- Analyze content performance and adapt strategies using Gemini AI.
Google Gemini AI for Data Analysis
21 HoursThis instructor-led, live training in Sweden (online or onsite) is aimed at beginner-level to intermediate-level data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.
By the end of this training, participants will be able to:
- Understand the fundamentals of Google Gemini AI.
- Connect various data sources to Gemini AI.
- Explore data using natural language queries.
- Analyze data patterns and derive insights.
- Create compelling data visualizations.
- Communicate data-driven insights effectively.
Introduction to Claude AI: Conversational AI and Business Applications
14 HoursThis instructor-led, live training in Sweden (online or onsite) is aimed at beginner-level business professionals, customer support teams, and tech enthusiasts who wish to understand the fundamentals of Claude AI and leverage it for business applications.
By the end of this training, participants will be able to:
- Understand Claude AI’s capabilities and use cases.
- Set up and interact with Claude AI effectively.
- Automate business workflows with conversational AI.
- Enhance customer engagement and support using AI-driven solutions.
Getting Started with Ollama: Running Local AI Models
7 HoursThis instructor-led, live training in Sweden (online or onsite) is aimed at beginner-level professionals who wish to install, configure, and use Ollama for running AI models on their local machines.
By the end of this training, participants will be able to:
- Understand the fundamentals of Ollama and its capabilities.
- Set up Ollama for running local AI models.
- Deploy and interact with LLMs using Ollama.
- Optimize performance and resource usage for AI workloads.
- Explore use cases for local AI deployment in various industries.
Deploying and Optimizing LLMs with Ollama
14 HoursThis instructor-led, live training in Sweden (online or onsite) is aimed at intermediate-level professionals who wish to deploy, optimize, and integrate LLMs using Ollama.
By the end of this training, participants will be able to:
- Set up and deploy LLMs using Ollama.
- Optimize AI models for performance and efficiency.
- Leverage GPU acceleration for improved inference speeds.
- Integrate Ollama into workflows and applications.
- Monitor and maintain AI model performance over time.
Building Private AI Workflows with Ollama
14 HoursThis instructor-led, live training in Sweden (online or onsite) is aimed at advanced-level professionals who wish to implement secure and efficient AI-driven workflows using Ollama.
By the end of this training, participants will be able to:
- Deploy and configure Ollama for private AI processing.
- Integrate AI models into secure enterprise workflows.
- Optimize AI performance while maintaining data privacy.
- Automate business processes with on-premise AI capabilities.
- Ensure compliance with enterprise security and governance policies.
Fine-Tuning and Customizing AI Models on Ollama
14 HoursThis instructor-led, live training in Sweden (online or onsite) is aimed at advanced-level professionals who wish to fine-tune and customize AI models on Ollama for enhanced performance and domain-specific applications.
By the end of this training, participants will be able to:
- Set up an efficient environment for fine-tuning AI models on Ollama.
- Prepare datasets for supervised fine-tuning and reinforcement learning.
- Optimize AI models for performance, accuracy, and efficiency.
- Deploy customized models in production environments.
- Evaluate model improvements and ensure robustness.
Intermediate Gemini AI for Public Sector Professionals
16 HoursThis instructor-led, live training in Sweden (online or onsite) is aimed at intermediate-level public sector professionals who wish to use Gemini to generate high-quality content, assist with research, and improve productivity through more advanced AI interactions.
By the end of this training, participants will be able to:
- Craft more effective and tailored prompts for specific use cases.
- Generate original and creative content using Gemini.
- Summarize and compare complex information with precision.
- Use Gemini for brainstorming, planning, and organizing ideas efficiently.