Unable to find what you're searching for?
We're here to help you find itUnlock the potential of Python programming with the GitHub Copilot course. This 8-hour training is designed to elevate your coding skills with AI-powered tools.
### Learning Objectives:
- Install and explore GitHub Copilot on IDEs like PyCharm or VS Code.
- Master Python basics and advanced coding with Copilot’s guidance.
- Troubleshoot and optimize code effectively using AI support.
- Conduct unit testing, code reviews, and interact with databases seamlessly.
- Implement telemetry and advanced analytics for better performance.
Practical applications include automating software development, enhancing code quality, and integrating AI for efficient problem-solving.
Join us to revolutionize your programming journey!
Purchase This Course
♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
Sure, I'd be happy to provide the prerequisites for the Python Programming with GitHub Copilot course. Here they are:
Basic Understanding of Programming Concepts:
Introductory Knowledge of Python:
Basic Experience with Development Environments:
GitHub Account:
Having these foundational skills will enable you to get the most out of the course and confidently tackle the training modules. We look forward to helping you enhance your Python programming skills with GitHub Copilot!
Introduction:
The Python Programming with GitHub Copilot course equips professionals with advanced coding, AI integration, and database management skills using GitHub Copilot over an 8-hour session.
Target Audience & Job Roles:
1. Introduction to Course's Learning Outcomes and Concepts Covered This course provides an in-depth understanding of Python programming and the integration of GitHub Copilot, covering everything from basic setup to advanced code generation, testing, and database management with AI enhancements.
2. Learning Objectives and Outcomes
Python programming is a versatile and widely-used language known for its readability and efficiency. Python classes, a key component, help organize and manage code logically, encapsulating data and functions into manageable structures. For those looking to validate their skills, Python certification is available through various online courses, enhancing both credibility and job prospects. Additionally, Python online platforms offer interactive learning experiences right from home. GitHub Copilot, although unrelated directly to Python classes, is an AI-powered tool that assists programmers by suggesting code snippets and entire functions on the fly, potentially accelerating the coding process.
GitHub Copilot is an AI-powered coding assistant developed by GitHub that helps you write code more efficiently. It suggests entire lines or blocks of code as you type, learning from the vast array of code available on GitHub. This tool is particularly useful for Python classes, assisting with syntax and speeding up the development process. For those pursuing Python certification or learning Python online, GitHub Copilot can serve as an invaluable resource to understand coding patterns and improve coding practices. Regarding copilot GitHub pricing, it offers a subscription model, making it accessible for individual developers and teams.
AI-powered tools use artificial intelligence to automate and enhance various tasks and processes. An example is GitHub Copilot, which assists coders by suggesting lines of code or entire functions. It works seamlessly with programming languages like Python, where it can even help navigate Python classes. For learners, Python certification and Python online courses are available to improve coding proficiency. GitHub Copilot's pricing varies, usually requiring a subscription, offering valuable support for developers in speeding up coding projects and improving their code quality. AI tools like these continuously learn from data to provide increasingly effective assistance.
Integrated Development Environments (IDEs) like PyCharm or Visual Studio Code (VS Code) are software tools that help developers write, test, and debug their code efficiently. PyCharm is specifically tailored for Python programming, offering features like auto-completion and integration with Python frameworks. VS Code, on the other hand, supports multiple languages and has a vast extension marketplace. Both IDEs can integrate with GitHub Copilot, providing AI-powered code suggestions, and offer features such as version control, collaboration tools, and syntax highlighting, greatly simplifying the coding process and enhancing productivity.
Python is a popular programming language that's easy to learn due to its clear syntax and scalability. Beginners typically start by learning Python basics, such as variables, loops, and conditions. For more advanced users, Python classes allow object-oriented programming, enhancing code organization and reusability. Python certification is offered to validate a developer's expertise, often through online courses that offer structured learning paths. Advanced coding involves complex problem-solving with algorithms, data structures, and sometimes integration with applications, such as those provided by GitHub Copilot, an AI pair programmer that suggests code snippets and entire functions.
Troubleshooting and optimizing code involves systematically diagnosing and fixing errors or "bugs" in software, and refining the code to improve performance. Effective troubleshooting requires understanding the code's purpose and logic, using tools to debug and analyze the code's behavior during execution. Optimization may involve restructuring the code, improving algorithms, or utilizing more efficient data structures to enhance speed and resource management. Proper documentation and testing are crucial in ensuring the code runs optimally and reliably. Mastery of these skills can be supported by courses (like Python certification), or platforms for learning and collaboration such as GitHub.
Unit testing is a method used in programming where individual units or components of a software are tested to ensure they are fit for use. Essentially, it involves isolating a section of code and verifying its correctness independently from other parts. This practice helps in detecting early flaws in a system's logic, which can be corrected before integration with other software components. Often part of agile methodologies, unit testing is crucial for code quality, maintainability, and reducing future bugs, making the development process more efficient and predictable. It's commonly implemented in various programming languages, such as in Python classes.
Code reviews are a part of the software development process where team members examine new or altered code before merging it into the main project. This practice helps catch errors, ensure consistency, and improve the quality of the software. During a code review, developers submit their code to a version control system like GitHub, allowing peers to provide feedback and suggest necessary improvements. The goal is to promote a collaborative working environment and enhance the overall codebase by ensuring all contributions are up to standard and function well within the larger system.
Telemetry involves collecting and analyzing data about a system or process from a distance, often in real-time. It's used in various fields to monitor everything from spacecraft to engines in cars. Advanced analytics goes a step further, employing sophisticated techniques like predictive models and machine learning to extract insights from this data. These insights can enhance decision-making, predict future trends, and optimize operations. This process often requires powerful software and can benefit from using tools available in Python online classes or through Python certification programs, where you learn to handle large datasets and perform complex analyses effectively.
Software development is the process of creating, building, and maintaining software using specific programming languages like Python. It involves stages such as planning, coding, testing, and deployment. Developers often use platforms like GitHub Copilot, which helps automate coding by suggesting code snippets and managing version control efficiently. Python is popular for its ease of learning and flexibility, which is why Python classes and certifications are highly sought. These classes are available online, offering convenience and accessibility. Staying updated with certifications and using tools like GitHub Copilot, despite its pricing, can enhance development skills and productivity.
Introduction:
The Python Programming with GitHub Copilot course equips professionals with advanced coding, AI integration, and database management skills using GitHub Copilot over an 8-hour session.
Target Audience & Job Roles:
1. Introduction to Course's Learning Outcomes and Concepts Covered This course provides an in-depth understanding of Python programming and the integration of GitHub Copilot, covering everything from basic setup to advanced code generation, testing, and database management with AI enhancements.
2. Learning Objectives and Outcomes
