Whether delivered online or onsite, instructor-led live Python training courses utilize hands-on practice to explore various facets of the Python programming language. Key topics include Python programming fundamentals, advanced Python techniques, test automation, scripting and automation, as well as Python applications in Data Analysis and Big Data for sectors like Finance, Banking, and Insurance.
NobleProg’s Python training curriculum also encompasses both introductory and advanced courses on leveraging Python libraries and frameworks for Machine Learning and Deep Learning.
Python training options include "online live training" and "onsite live training." Online live training (also known as "remote live training") is conducted using an interactive remote desktop. Onsite live training can be delivered locally at customer premises or at NobleProg’s corporate training centers in India.
NobleProg -- Your Local Training Provider
Nepal, Kathmandu - Classroom
near Soaltee, Tahachal Marg, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Tahachal Marg with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Nepal, Thamel, KTM - Classroom
near Radisson , Ward 2, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Thamel, with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Python serves as the foundational language for developing and orchestrating autonomous AI agents. This course emphasizes practical implementation using contemporary SDKs and frameworks, such as LangChain and AutoGen, to construct, link, and manage agent workflows.
This instructor-led live training (available online or onsite) is designed for intermediate-level backend engineers, platform engineers, and ML engineers who aim to implement and orchestrate autonomous agents using Python tools and APIs.
Upon completion of this training, participants will be able to:
Set up and configure Python-based environments for agentic systems.
Utilize popular agent SDKs like LangChain and AutoGen to build functional agents.
Integrate tools and APIs to expand agent capabilities.
Orchestrate multi-agent workflows and communication patterns.
Apply best practices for debugging, testing, and maintaining agentic codebases.
Course Format
Interactive lectures and discussions.
Hands-on programming exercises and live demonstrations.
This course imparts practical engineering methodologies for designing, constructing, testing, and deploying autonomous agentic systems using Python. It explores the agent loop, tool integrations, memory and state management, orchestration patterns, safety controls, and production-grade considerations.
Delivered as instructor-led live training (available online or onsite), this program targets intermediate to advanced ML engineers, AI developers, and software engineers aiming to build robust, production-ready autonomous agents using Python.
Upon completion of this training, participants will be able to:
Design and implement the agent loop and decision-making workflows.
Integrate external tools and APIs to enhance agent capabilities.
Implement short-term and long-term memory architectures for agents.
Coordinate multi-step orchestrations and ensure agent composability.
Apply safety, access control, and observability best practices for deployed agents.
Course Format
Interactive lectures and discussions.
Hands-on labs for building agents using Python and popular SDKs.
Project-based exercises resulting in deployable prototypes.
Course Customization Options
To request a customized training session for this course, please contact us to arrange it.
Artificial Intelligence with Python focuses on building intelligent systems by leveraging Python’s comprehensive ecosystem of AI and machine learning libraries.
This instructor-led live training, available online or onsite, is designed for intermediate Python developers who want to design, implement, and deploy AI solutions using Python.
Upon completing this training, participants will be able to:
Implement AI algorithms using Python’s core AI libraries.
Work with supervised, unsupervised, and reinforcement learning models.
Integrate AI solutions into existing applications and workflows.
Evaluate model performance and optimize for accuracy and efficiency.
Format of the Course
Interactive lectures and discussions.
Extensive exercises and practice sessions.
Hands-on implementation in a live lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Nepal (online or onsite) is aimed at intermediate-level Python developers who wish to enhance their Python development experience using AWS Cloud9.
By the end of this training, participants will be able to:
Set up and configure AWS Cloud9 for Python development.
Understand the AWS Cloud9 IDE interface and features.
Write, debug, and deploy Python applications in AWS Cloud9.
Collaborate with other developers using the AWS Cloud9 platform.
Integrate AWS Cloud9 with other AWS services for advanced deployments.
This instructor-led, live training in Nepal (online or onsite) is targeted at expert-level data analysts who wish to leverage Python's data analysis capabilities within Power BI, thereby improving their ability to analyze and visualize data effectively.
By the end of this training, participants will be able to:
Learn how Python can be integrated into Power BI for data analysis.
Use Python scripts to load, clean, and preprocess data within the Power BI environment.
Enhance data visualization capabilities by creating custom and interactive visualizations using Python.
Acquire advanced data analysis skills using Python.
Python is a highly versatile programming language extensively utilized for data manipulation, automation, and analytics. Libraries such as Pandas and Polars offer robust and practical tools for handling tabular data on a large scale.
This instructor-led, live training (available online or on-site) is designed for professionals ranging from beginner to intermediate levels who aim to leverage Python for daily data analysis, file processing, and process automation using Pandas and Polars.
Upon completion of this training, participants will be equipped to:
Utilize Python to read, transform, and write CSV and Excel files.
Execute common data cleaning and transformation tasks using Pandas and Polars.
Automate repetitive data processes through Python scripts.
Package simple scripts into executables and adhere to best practices for project management.
Format of the Course
Interactive coding demonstrations accompanied by brief lectures.
Hands-on exercises supported by guided code examples.
Practical mini-projects focused on automating real-world tasks.
Course Customization Options
To request customized training for this course, please get in touch with us to make arrangements.
This instructor-led, live training in Nepal (online or onsite) is aimed at experienced developers who wish to gain a comprehensive understanding of Python programming and its applications in cybersecurity.
By the end of this training, participants will be able to:
Use Python programming for defensive cybersecurity.
Understand and use Python for ethical offensive techniques and digital forensics tasks.
Recognize legal and ethical considerations surrounding offensive cybersecurity and vulnerability disclosure.
This intensive, hands-on program delves into advanced Python techniques, engineering best practices, and widely adopted design patterns to help you build maintainable, testable, and high-performance Python applications. The curriculum emphasizes modern tooling, type hints, concurrency models, architectural patterns, and deployment-ready workflows.
This instructor-led live training (available online or onsite) is tailored for intermediate to advanced Python developers looking to adopt professional practices and patterns for production-grade Python systems.
Upon completing this training, participants will be equipped to:
Utilize Python typing, dataclasses, and type-checking to enhance code reliability.
Apply design patterns and architectural principles to structure robust applications.
Correctly implement concurrency and parallelism using asyncio and multiprocessing.
Write well-tested code using pytest, property-based testing, and CI pipelines.
Profile, optimize, and harden Python applications for production environments.
Package, distribute, and deploy Python projects using modern tools and containers.
Course Format
Interactive lectures and concise demonstrations.
Practical labs and coding exercises each day.
A capstone mini-project that integrates patterns, testing, and deployment.
Customization Options
For customized training or specific focus areas (such as data, web, or infrastructure), please contact us to arrange.
This instructor-led live training in Nepal (online or on-site) is aimed at beginner-level developers and data analysts who wish to learn Python programming from scratch using Google Colab.
By the end of this training, participants will be able to:
Understand the basics of Python programming language.
Implement Python code in Google Colab environment.
Utilize control structures to manage the flow of a Python program.
Create functions to organize and reuse code effectively.
Explore and use basic libraries for Python programming.
This instructor-led live training, offered online or on-site, is designed for developers who wish to utilize the FARM (FastAPI, React, and MongoDB) stack to create dynamic, high-performance, and scalable web applications.
By the conclusion of this training, participants will be able to:
Establish the necessary development environment integrating FastAPI, React, and MongoDB.
Comprehend the essential concepts, features, and benefits associated with the FARM stack.
Master the process of building REST APIs with FastAPI.
Learn techniques for designing interactive applications using React.
Develop, test, and deploy full-stack applications (frontend and backend) leveraging the FARM stack.
This instructor-led live training in Nepal (online or onsite) is tailored for robotics developers at beginner to intermediate levels, and potentially advanced levels, who want to learn how to program mobile robots using ROS and Python.
By the end of this training, participants will be able to:
Establish a development environment comprising ROS, Python, and a mobile robot platform.
Develop and execute ROS nodes, topics, services, and actions using Python.
Leverage ROS tools and utilities to monitor and troubleshoot ROS applications.
Utilize ROS packages and libraries to handle common tasks for mobile robots.
Integrate ROS with other frameworks and tools.
Perform troubleshooting and debugging on ROS applications.
This programme is tailored for individuals keen on mastering the Python programming language. The focus lies on the Python language itself, its core libraries, as well as the selection of the most effective and useful libraries developed by the Python community. Python powers businesses globally and is widely utilised by scientists around the world, making it one of the most popular programming languages today.
The course can be conducted using the latest Python version 3.x, incorporating practical exercises to fully leverage its capabilities. This training is compatible with any operating system, including all variants of UNIX (such as Linux and Mac OS X), as well as Microsoft Windows.
Practical exercises make up approximately 70% of the course duration, with the remaining 30% dedicated to demonstrations and presentations. Participants are encouraged to engage in discussions and ask questions throughout the programme.
Note: The training content can be customised to meet specific requirements upon prior request before the scheduled course date.
This instructor-led, live training in Nepal (online or onsite) is aimed at developers who wish to learn advanced Python programming techniques, including how to apply this versatile language to solve problems in areas such as distributed applications, data analysis and visualization, UI programming and maintenance scripting.
This course caters to individuals keen on mastering the Python programming language. It places significant focus on the core Python language and essential libraries, alongside highlighting the most impactful libraries contributed by the Python community. As a widely adopted language globally, Python is instrumental in driving business operations and supporting scientific research.
This training programme equips participants with the skills to leverage Python programming for Web Application Development and Data Analytics. By mastering data visualization techniques, attendees will gain a powerful tool to support strategic decision-making processes for top-level management.
This course aims to build foundational proficiency in applying Machine Learning techniques in real-world scenarios. Leveraging the Python programming language and its extensive ecosystem of libraries, along with numerous practical examples, the curriculum covers the essential components of Machine Learning. Participants will learn to make informed data modeling decisions, interpret algorithm outputs, and validate results effectively.
Our objective is to equip you with the confidence to utilise core Machine Learning tools and steer clear of common pitfalls associated with Data Science applications.
This instructor-led, live training in Nepal is based on the popular book, "Automate the Boring Stuff with Python", by Al Sweigart. It is aimed at beginners and covers essential Python programming concepts through practical, hands-on exercises and discussions. The focus is on learning to write code to dramatically increase office productivity.
By the end of this training, participants will know how to program in Python and apply this new skill for:
Automating tasks by writing simple Python programs.
Writing programs that can do text pattern recognition with "regular expressions".
Programmatically generating and updating Excel spreadsheets.
Parsing PDFs and Word documents.
Crawling web sites and pulling information from online sources.
Writing programs that send out email notifications.
Use Python's debugging tools to quickly resolve bugs.
Programmatically controlling the mouse and keyboard to click and type for you.
In this instructor-led, live training session in Nepal, participants will explore the most relevant and cutting-edge machine learning techniques in Python. Through the development of a series of demonstration applications involving image, music, text, and financial data, learners will gain practical insights.
Upon completion of this training, participants will be able to:
Implement machine learning algorithms and techniques to address complex challenges.
Apply deep learning and semi-supervised learning methods to applications involving image, music, text, and financial data.
Maximize the potential of Python algorithms.
Leverage libraries and packages such as NumPy and Theano.
This instructor-led, live training in Nepal (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.
This course aims to build practical proficiency in applying Machine Learning methods. Leveraging the Python programming language and its extensive libraries, alongside numerous hands-on examples, it teaches how to utilise the key building blocks of Machine Learning. Participants will learn to make informed data modelling decisions, interpret algorithm outputs, and validate results effectively.
Our goal is to equip you with the confidence to use fundamental Machine Learning tools and to help you avoid the common pitfalls encountered in Data Science applications.
Python has emerged as a highly popular programming language within the financial sector. Utilized by leading investment banks and hedge funds, it serves as the backbone for a diverse array of financial applications, from core trading systems to risk management frameworks.
Through this instructor-led live training, participants will gain the skills needed to leverage Python for creating practical solutions to specific financial challenges.
Upon completion of this training, participants will be equipped to:
Grasp the fundamental concepts of the Python programming language
Download, install, and manage the most effective development tools for building financial applications in Python
Choose and apply appropriate Python libraries and programming techniques to organize, visualize, and analyze financial data from various sources such as CSV, Excel, databases, and web APIs
Develop applications that address issues like asset allocation, risk analysis, and investment performance
Troubleshoot, integrate, deploy, and optimize Python-based applications
Audience
Developers
Analysts
Quants
Course Format
A blend of lectures, discussions, exercises, and extensive hands-on practice
Note
This training focuses on providing solutions for key problems encountered by finance professionals. If there is a specific topic, tool, or technique you wish to add or explore in greater depth, please contact us to arrange accordingly.
This 4-day course introduces Artificial Intelligence and its practical applications using the Python programming language. Participants also have the option to extend their learning by spending an additional day working on an AI project upon completing the course.
Selenium is an open-source framework designed for automating web application testing across various browsers. With the release of Selenium 4, users can access enhanced WebDriver APIs, native relative locators, and improved grid support. Python, known for its simplicity and robust integration with testing frameworks such as Pytest, stands out as a powerful choice for developing scalable and maintainable test automation suites.
This instructor-led live training, available both online and onsite, targets beginner to intermediate-level testers and developers who want to leverage Selenium with Python to automate web application testing in real-world scenarios.
Upon completion of this training, participants will be able to:
Install and configure Selenium with Python within a test environment.
Develop robust test automation scripts using Selenium WebDriver and Pytest.
Apply the Page Object Model (POM) to create maintainable test frameworks.
Execute tests across multiple browsers using Selenium Grid.
Integrate automated tests into CI/CD pipelines.
Troubleshoot common issues and implement best practices for automation stability.
Format of the Course
Interactive lectures and discussions.
Extensive exercises and practice sessions.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request customized training for this course, please contact us to arrange.
This instructor-led, live training in Nepal (online or onsite) is designed for Matlab users who wish to explore or transition to Python for data analytics and visualization.
Upon completion of this training, participants will be able to:
Install and configure a Python development environment.
Identify the differences and similarities between Matlab and Python syntax.
Utilize Python to derive insights from various datasets.
This instructor-led, live training in Nepal (online or onsite) is aimed at persons who wish to learn just enough Python to begin crunching numbers from sales data, traffic analytics, customer interactions, etc..
By the end of this training, participants will be able to:
Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
Analyze data from sources such as Excel, CSV, JSON files and databases.
Clean data to improve its usefulness before analyzing it.
Perform simple statistical analysis.
Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
Gain valuable insight from data, including trends in performance, problematic areas.
In this instructor-led live training, participants will master advanced Python programming techniques. You will learn how to leverage this versatile language to address challenges in distributed applications, data analysis and visualization, user interface programming, and maintenance scripting.
Course Format
Interactive lectures and discussions.
Extensive exercises and practice sessions.
Hands-on implementation within a live laboratory environment.
Customization Options
If you wish to add, remove, or customize any section or topic within this course, please contact us to make the necessary arrangements.
This instructor-led, live training in Nepal (online or onsite) is designed for developers who want to utilise Python to automate the process of crawling multiple websites to extract data for further processing and analysis.
Upon completing this training, participants will be able to:
Install and set up Python along with all necessary packages.
Retrieve and parse data stored across numerous different websites.
Gain an understanding of how websites function and how their HTML is structured.
This instructor-led, live training in Nepal (online or onsite) is designed for data scientists and software engineers who want to leverage Dask within the Python ecosystem to build, scale, and analyze large datasets.
By the end of this training, participants will be able to:
Set up the necessary environment to begin building big data processing workflows 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 when handling large datasets.
This instructor-led, live training in Nepal (online or onsite) is designed for business analysts who wish to automate trading using algorithmic trading, Python, and R.
By the end of this training, participants will be able to:
Employ algorithms to buy and sell securities at specialized increments rapidly.
Reduce costs associated with trade using algorithmic trading.
Automatically monitor stock prices and place trades.
Chatbots are automated programs that mimic human responses through chat interfaces. They assist organizations in optimizing operational efficiency by offering users quicker and more accessible interaction options.
This instructor-led live training guides participants through the process of building chatbots using Python.
Upon completion of this training, participants will be capable of:
Grasping the core principles of chatbot development
Creating, testing, deploying, and resolving issues with diverse chatbots using Python
Target Audience
Software Developers
Course Format
A blend of lectures, discussions, exercises, and extensive hands-on practice
Note
To arrange customized training for this course, please get in touch with us.
This instructor-led, live training in Nepal (online or onsite) is aimed at intermediate-level developers who wish to use CUDA to build Python applications that run in parallel on NVIDIA GPUs.
By the end of this training, participants will be able to:
Use the Numba compiler to accelerate Python applications running on NVIDIA GPUs.
Create, compile and launch custom CUDA kernels.
Manage GPU memory.
Convert a CPU based application into a GPU-accelerated application.
This practical training programme is tailored for data engineering professionals aiming to develop tangible skills in artificial intelligence, Python, and Large Language Models (LLMs). The curriculum emphasizes real-world utility, encompassing model application, prompt engineering, and the creation of AI-driven solutions. Participants will engage in progressive exercises that transition from foundational concepts to constructing deployable AI workflows.
Training Format
• Instructor-led classroom sessions conducted in person
• Guided practice under the supervision of an expert instructor
• Interactive discussions complemented by real-world case studies
• Daily practical, hands-on exercises
Course Objectives
• Grasp the core AI and machine learning concepts pertinent to contemporary applications
• Enhance Python proficiency for AI development and data processing workflows
• Comprehend the mechanics of Large Language Models and master their effective utilization
• Design and refine prompts to ensure consistent and reliable outputs
• Develop end-to-end AI solutions leveraging APIs and various frameworks
• Seamlessly integrate AI capabilities into existing data engineering pipelines
This instructor-led live training in Nepal (online or onsite) is designed for developers who want to utilize FastAPI with Python to build, test, and deploy RESTful APIs with greater ease and speed.
By the conclusion of this training, participants will be able to:
Set up the essential development environment for building APIs with Python and FastAPI.
Produce APIs faster and more efficiently using the FastAPI library.
Learn to create data models and schemas based on Pydantic and OpenAPI.
Link APIs to a database using SQLAlchemy.
Apply security and authentication features to APIs using FastAPI utilities.
Construct container images and deploy web APIs onto a cloud server.
This instructor-led live training in Nepal (online or onsite) is designed for data scientists who wish to use TensorFlow to analyse potential fraud data.
By the end of this training, participants will be able to:
Create a fraud detection model in Python and TensorFlow.
Build linear regressions and linear regression models to predict fraud.
Develop an end-to-end AI application for analysing fraud data.
This instructor-led, live training in Nepal (online or onsite) is aimed at network engineers who wish to maintain, manage, and design computer networks with Python.
By the end of this training, participants will be able to:
Optimize and leverage Paramiko, Netmiko, Napalm, Telnet, and pyntc for network automation with Python.
Master multi-threading and multiprocessing in network automation.
In this instructor-led, live training in Nepal, participants will learn how to use Python to produce high-quality natural language text by building their own NLG system from scratch. Case studies will also be examined and the relevant concepts will be applied to live lab projects for generating content.
By the end of this training, participants will be able to:
Use NLG to automatically generate content for various industries, from journalism, to real estate, to weather and sports reporting.
Select and organize source content, plan sentences, and prepare a system for automatic generation of original content.
Understand the NLG pipeline and apply the right techniques at each stage.
Understand the architecture of a Natural Language Generation (NLG) system.
Implement the most suitable algorithms and models for analysis and ordering.
Pull data from publicly available data sources as well as curated databases to use as material for generated text.
Replace manual and laborious writing processes with computer-generated, automated content creation.
This instructor-led, live training in Nepal (available online or onsite) is designed for business professionals and data analysts with intermediate Python skills who wish to apply Python to automate workflows, analyze business data, and generate dynamic Excel-based reports.
This instructor-led, live training in Nepal (online or onsite) is aimed at penetration testers who wish to penetrate test networks in Kali Linux using Python.
By the end of this training, participants will be able to:
Create Python programs to seek network vulnerabilities.
Explore and use Kali web shells and shellcode in exploits.
This instructor-led live training, conducted Nepal (online or onsite), targets developers who wish to leverage Python as their server-side language for web application creation. The course investigates various techniques and frameworks to determine the best fit for specific problems.
By the end of this training, participants will be able to:
Install and configure Python packages and frameworks.
Set up an appropriate development environment to optimize the coding process.
Write code required to enable common functionalities expected by end users (such as forms, database queries, and calculations).
Select from popular frameworks like Django and Flask to automate redundant tasks and reduce development time.
Computer Vision is a domain focused on the automatic extraction, analysis, and comprehension of valuable insights from digital media. Python is a high-level programming language renowned for its clean syntax and code readability.
Through this instructor-led live training, participants will grasp the fundamentals of Computer Vision by building a series of straightforward Computer Vision applications using Python.
Upon completion of this training, participants will be able to:
Grasp the fundamentals of Computer Vision
Utilize Python to execute Computer Vision tasks
Develop their own systems for face, object, and motion detection
Audience
Python programmers interested in Computer Vision
Course Format
A blend of lectures, discussions, exercises, and extensive hands-on practice
This course introduces students to the Python language, adopting a security-first pedagogical approach. Upon completion of this class, students will be able to write non-trivial Python programs dealing with a wide variety of subject matter domains while applying industry-standard secure coding principles. Topics include language components, working with a professional IDE, control flow constructs, strings, I/O, collections, classes, modules, and regular expressions—all evaluated through the lenses of vulnerability mitigation and secure architecture. The course is supplemented with many hands-on labs, secure solutions, and code examples.
After completing the course, students will be able to demonstrate knowledge and understanding of Python Security Principles, environment-scoped security policies (skope-rules), dependency isolation, automated SAST/DAST integration, and DevSecOps-aligned secure development workflows.
This practical course is tailored for Unix and shell users aiming to boost their automation capabilities through Python. Although shell scripting is effective for basic tasks, Python offers far greater flexibility, readability, and scalability for complex automation, system administration, and DevOps workflows.
This instructor-led, live training (available online or onsite) is designed for developers and data scientists who want to leverage spaCy to process vast volumes of text to identify patterns and derive actionable insights.
Upon completion of this training, participants will be able to:
Install and configure spaCy.
Gain a solid understanding of spaCy's approach to Natural Language Processing (NLP).
Extract patterns and derive business insights from large-scale data sources.
Integrate the spaCy library into existing web and legacy applications.
Deploy spaCy in live production environments to predict human behavior.
Utilize spaCy for pre-processing text intended for Deep Learning.
Format of the Course
Interactive lectures and discussions.
Ample exercises and practical practice.
Hands-on implementation within a live-lab environment.
Course Customization Options
To request customized training for this course, please contact us to make arrangements.
For more information about spaCy, please visit: https://spacy.io/
Tableau serves as a robust business intelligence and data visualization platform, while Python is a versatile programming language that supports a broad spectrum of statistical and machine learning methodologies. By leveraging Tableau’s potent data visualization capabilities alongside Python’s advanced machine learning functions, developers can swiftly construct sophisticated data analytics solutions tailored to diverse business requirements.
Through this instructor-led live training, attendees will acquire the skills needed to merge Tableau and Python for executing advanced analytics. This integration is facilitated via the TabPy API.
Upon completing this training, participants will be equipped to:
Integrate Tableau and Python using the TabPy API
Apply the combined power of Tableau and Python to analyze intricate business scenarios with minimal Python code
Audience
Developers
Data scientists
Format of the course
A mix of lectures, discussions, exercises, and extensive hands-on practice
In the realm of Python Machine Learning, the Text Summarization feature allows users to process input text and generate concise summaries. This functionality is accessible via the command line or through a Python API/Library. A compelling use case is the rapid generation of executive summaries, which proves invaluable for organizations needing to analyze extensive text data prior to drafting reports and presentations.
Through this instructor-led live training, participants will learn how to leverage Python to build a straightforward application that automatically generates text summaries.
Upon completion of this training, participants will be able to:
Utilize a command-line tool for text summarization.
Design and implement Text Summarization code using Python libraries.
Evaluate three Python summarization libraries: sumy 0.7.0, pysummarization 1.0.4, and readless 1.0.17.
Audience
Developers
Data Scientists
Format of the course
A blend of lectures, discussions, exercises, and extensive hands-on practice.
This instructor-led, live training in Nepal (online or onsite) is designed for data scientists and developers who wish to utilize 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.
The number of users is correct. The trainer delivered the information with enthusiasm.
Alberto Rivas - SEG AUTOMOTIVE SPAIN, S.A.U.
Course - Python Programming - 4 days
Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.
Nazeera Mohamad - Ministry of Science, Technology and Innovation
Course - Introduction to Data Science and AI using Python
Got to know a lot of new thngs.
Roland - Diehl Aviation
Course - Advanced Python - 4 Days
The trainer is a very well-disposed person and has a lot of knowledge of the topic. He was always there to ask our questions and to help out with our doubts
Bruno
Course - Python: Automate the Boring Stuff
Examples/exercices perfectly adapted to our domain
Luc - CS Group
Course - Scaling Data Analysis with Python and Dask
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