Rohini Sector 3A, Delhi, India - 110085.
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kurukshetra university 2022
Bachelor of Technology (B.Tech.)
Rohini Sector 3A, Delhi, India - 110085
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Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
5
Course Duration provided
1-3 months
Seeker background catered to
Educational Institution, Individual, Corporate company
Certification provided
Yes
Python applications taught
Data Analysis with Python , Data Visualization with Python, Machine Learning with Python, Data Extraction with Python , Data Science with Python, Help in assignment
Teaching Experience in detail in Python Training classes
As a Python expert, my teaching experience involves delivering comprehensive and engaging Python programming courses. I prioritize creating an inclusive and supportive learning environment that encourages active participation and collaboration. I focus on providing practical examples, hands-on exercises, and real-world applications to enhance understanding. I emphasize problem-solving skills, guide students through coding challenges, and offer constructive feedback to foster continuous improvement. My goal is to equip students with a solid foundation in Python and empower them to apply their skills in various domains.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Computer Classes
8
Type of Computer course taken
Training in Computer tools usage, Software Programming, Training in Software application usage, Basics of Computer usage
Teaching Experience in detail in Computer Classes
As a computer expert, I have extensive experience in teaching Python to individuals and groups. I employ a learner-centered approach, tailoring my teaching methods to the needs and skill levels of my students. My teaching style is interactive and engaging, encouraging active participation and problem-solving. I begin by providing a solid foundation of the Python language, starting with the basics and gradually progressing to more advanced topics. I emphasize hands-on coding exercises and projects to reinforce concepts and develop practical skills. I believe in the importance of practical application, allowing students to see how Python is used in real-world scenarios. Throughout the teaching process, I ensure a supportive and collaborative environment where students feel comfortable asking questions and seeking clarification. I provide clear explanations, examples, and demonstrations to enhance understanding. I also incorporate relevant case studies and examples from various domains to demonstrate the versatility and applicability of Python. To foster independent learning, I share additional resources such as relevant books, online tutorials, and coding challenges. I encourage students to explore and experiment with Python beyond the classroom, building their confidence and problem-solving abilities. Feedback and assessment play a crucial role in my teaching approach. I provide constructive feedback on student projects and assignments, highlighting areas for improvement while acknowledging their achievements. Regular assessments help monitor progress and identify areas where additional support may be needed. In summary, as a computer expert with teaching experience, I prioritize student engagement, practical application, and a supportive learning environment. I aim to equip students with a strong foundation in Python and the confidence to apply their knowledge in various domains.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in R Programming
8
Teaching Experience in detail in R Programming
As an R expert, my teaching experience revolves around sharing my knowledge and expertise in R programming with students. I adopt a student-centered approach, catering to the unique needs and skill levels of each individual or group. During my teaching sessions, I create a supportive and inclusive learning environment that encourages active participation and collaboration. I understand that R can sometimes be perceived as challenging, so I strive to make the learning process engaging and enjoyable. I begin by introducing the fundamental concepts of R programming, including data types, variables, vectors, matrices, and data frames. I emphasize the importance of data manipulation and analysis techniques using R's extensive set of packages, such as dplyr and tidyr. To facilitate hands-on learning, I provide coding exercises and projects that reflect real-world scenarios. This approach allows students to apply their knowledge and gain practical experience in data analysis, visualization, and statistical modeling using R. Throughout the teaching process, I place a strong emphasis on problem-solving skills and critical thinking. I encourage students to think analytically and creatively when approaching data-related challenges. I also highlight the importance of understanding statistical concepts to effectively leverage R's capabilities. To ensure effective learning, I utilize a variety of teaching resources, including textbooks, online tutorials, case studies, and interactive coding platforms. I believe in the power of visual aids and examples to illustrate concepts and promote comprehension. Regular assessments and feedback are integral parts of my teaching methodology. I provide constructive feedback on assignments and projects, highlighting areas for improvement and offering guidance to enhance students' R programming skills. In summary, as an experienced R expert, my teaching approach focuses on creating an inclusive environment, emphasizing practical application, and fostering problem-solving abilities. I aim to equip students with a strong foundation in R programming and empower them to effectively leverage its capabilities in data analysis and statistical modeling.
5 out of 5 1 review
Pritam Kanti guha
Python Training
"Good teacher. Very good tasks and helpful in learning. Had 5 classes so far. Experiences were good. Teacher was well versed with subject. "
1. Which classes do you teach?
I teach Computer, Python Training and R Programming Classes.
2. Do you provide a demo class?
Yes, I provide a free demo class.
3. How many years of experience do you have?
I have been teaching for 5 years.
Answered on 26/09/2023 Learn IT Courses/Programming Languages/Python
Answered on 26/09/2023 Learn IT Courses/Programming Languages/Python
To send an HTTP request with the Python Requests Library, you need to use the request.get(url, params) or request.post(url, data, params) methods. You can make HTTP GET, POST, PUT, DELETE and HEAD requests with the Python Request Library, submit forms, download files and images, and set rate limits and timeouts. The Requests library methods take the target URL as the first parameter and several additional parameters. For example, you can pass custom HTTP headers with the "headers" parameter, HTTP cookies with the "cookies" parameter, and user authorization data with the "auth" parameter. In this Python HTTP Requests example, we send a GET request to the ReqBin echo URL with a custom HTTP header.
Answered on 25/09/2023 Learn IT Courses/Programming Languages/Python
NumPy stands for Numerical Python. The most powerful feature of NumPy is n-dimensional array. This library also contains basic linear algebra functions, Fourier transforms, advanced random number capabilities and tools for integration with other low level languages like Fortran, C and C++.
SciPy stands for Scientific Python. It is built on NumPy. Scipy is one of the most useful library for variety of high level science and engineering modules like discrete Fourier transform, Linear Algebra, Optimization and Sparse matrices.
Answered on 07/08/2023 Learn IT Courses/Programming Languages/Python
Python is a multipurpose programming language used for web development, data analysis, machine learning, scripting, and scientific computing. It powers dynamic websites, processes and visualizes data, creates AI models, automates tasks, and supports various applications in a readable and efficient manner.
Answered on 07/08/2023 Learn IT Courses/Programming Languages/Python
To gain an in-depth understanding of Python, follow these steps:
1. **Foundational Learning**: Begin with online tutorials or courses to grasp Python's syntax, data types, and basic concepts.
2. **Practice Regularly**: Code daily to reinforce your skills and experiment with different aspects of the language.
3. **Explore Libraries**: Delve into popular libraries like NumPy, Pandas, and Matplotlib for data analysis, or Flask and Django for web development.
4. **Read Books**: Study comprehensive Python books like "Python Crash Course" or "Fluent Python" to deepen your knowledge.
5. **Online Resources**: Utilize websites like Stack Overflow, GitHub, and Python documentation for problem-solving and learning from others' code.
6. **Projects**: Work on personal projects to apply your skills and gain practical experience.
7. **Advanced Topics**: Dive into advanced topics like generators, decorators, concurrency, and design patterns.
8. **Online Courses**: Enroll in advanced online courses or certifications to explore specialized areas like machine learning or cybersecurity.
9. **Collaboration**: Contribute to open-source projects or collaborate on coding challenges to enhance your skills.
10. **Stay Updated**: Keep up with the latest developments through blogs, podcasts, and attending Python conferences or meetups.
Consistency, hands-on practice, and a willingness to explore diverse aspects of Python will help you develop a profound understanding of the language.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
5
Course Duration provided
1-3 months
Seeker background catered to
Educational Institution, Individual, Corporate company
Certification provided
Yes
Python applications taught
Data Analysis with Python , Data Visualization with Python, Machine Learning with Python, Data Extraction with Python , Data Science with Python, Help in assignment
Teaching Experience in detail in Python Training classes
As a Python expert, my teaching experience involves delivering comprehensive and engaging Python programming courses. I prioritize creating an inclusive and supportive learning environment that encourages active participation and collaboration. I focus on providing practical examples, hands-on exercises, and real-world applications to enhance understanding. I emphasize problem-solving skills, guide students through coding challenges, and offer constructive feedback to foster continuous improvement. My goal is to equip students with a solid foundation in Python and empower them to apply their skills in various domains.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Computer Classes
8
Type of Computer course taken
Training in Computer tools usage, Software Programming, Training in Software application usage, Basics of Computer usage
Teaching Experience in detail in Computer Classes
As a computer expert, I have extensive experience in teaching Python to individuals and groups. I employ a learner-centered approach, tailoring my teaching methods to the needs and skill levels of my students. My teaching style is interactive and engaging, encouraging active participation and problem-solving. I begin by providing a solid foundation of the Python language, starting with the basics and gradually progressing to more advanced topics. I emphasize hands-on coding exercises and projects to reinforce concepts and develop practical skills. I believe in the importance of practical application, allowing students to see how Python is used in real-world scenarios. Throughout the teaching process, I ensure a supportive and collaborative environment where students feel comfortable asking questions and seeking clarification. I provide clear explanations, examples, and demonstrations to enhance understanding. I also incorporate relevant case studies and examples from various domains to demonstrate the versatility and applicability of Python. To foster independent learning, I share additional resources such as relevant books, online tutorials, and coding challenges. I encourage students to explore and experiment with Python beyond the classroom, building their confidence and problem-solving abilities. Feedback and assessment play a crucial role in my teaching approach. I provide constructive feedback on student projects and assignments, highlighting areas for improvement while acknowledging their achievements. Regular assessments help monitor progress and identify areas where additional support may be needed. In summary, as a computer expert with teaching experience, I prioritize student engagement, practical application, and a supportive learning environment. I aim to equip students with a strong foundation in Python and the confidence to apply their knowledge in various domains.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in R Programming
8
Teaching Experience in detail in R Programming
As an R expert, my teaching experience revolves around sharing my knowledge and expertise in R programming with students. I adopt a student-centered approach, catering to the unique needs and skill levels of each individual or group. During my teaching sessions, I create a supportive and inclusive learning environment that encourages active participation and collaboration. I understand that R can sometimes be perceived as challenging, so I strive to make the learning process engaging and enjoyable. I begin by introducing the fundamental concepts of R programming, including data types, variables, vectors, matrices, and data frames. I emphasize the importance of data manipulation and analysis techniques using R's extensive set of packages, such as dplyr and tidyr. To facilitate hands-on learning, I provide coding exercises and projects that reflect real-world scenarios. This approach allows students to apply their knowledge and gain practical experience in data analysis, visualization, and statistical modeling using R. Throughout the teaching process, I place a strong emphasis on problem-solving skills and critical thinking. I encourage students to think analytically and creatively when approaching data-related challenges. I also highlight the importance of understanding statistical concepts to effectively leverage R's capabilities. To ensure effective learning, I utilize a variety of teaching resources, including textbooks, online tutorials, case studies, and interactive coding platforms. I believe in the power of visual aids and examples to illustrate concepts and promote comprehension. Regular assessments and feedback are integral parts of my teaching methodology. I provide constructive feedback on assignments and projects, highlighting areas for improvement and offering guidance to enhance students' R programming skills. In summary, as an experienced R expert, my teaching approach focuses on creating an inclusive environment, emphasizing practical application, and fostering problem-solving abilities. I aim to equip students with a strong foundation in R programming and empower them to effectively leverage its capabilities in data analysis and statistical modeling.
5 out of 5 1 review
Pritam Kanti guha
Python Training
"Good teacher. Very good tasks and helpful in learning. Had 5 classes so far. Experiences were good. Teacher was well versed with subject. "
Answered on 26/09/2023 Learn IT Courses/Programming Languages/Python
Answered on 26/09/2023 Learn IT Courses/Programming Languages/Python
To send an HTTP request with the Python Requests Library, you need to use the request.get(url, params) or request.post(url, data, params) methods. You can make HTTP GET, POST, PUT, DELETE and HEAD requests with the Python Request Library, submit forms, download files and images, and set rate limits and timeouts. The Requests library methods take the target URL as the first parameter and several additional parameters. For example, you can pass custom HTTP headers with the "headers" parameter, HTTP cookies with the "cookies" parameter, and user authorization data with the "auth" parameter. In this Python HTTP Requests example, we send a GET request to the ReqBin echo URL with a custom HTTP header.
Answered on 25/09/2023 Learn IT Courses/Programming Languages/Python
NumPy stands for Numerical Python. The most powerful feature of NumPy is n-dimensional array. This library also contains basic linear algebra functions, Fourier transforms, advanced random number capabilities and tools for integration with other low level languages like Fortran, C and C++.
SciPy stands for Scientific Python. It is built on NumPy. Scipy is one of the most useful library for variety of high level science and engineering modules like discrete Fourier transform, Linear Algebra, Optimization and Sparse matrices.
Answered on 07/08/2023 Learn IT Courses/Programming Languages/Python
Python is a multipurpose programming language used for web development, data analysis, machine learning, scripting, and scientific computing. It powers dynamic websites, processes and visualizes data, creates AI models, automates tasks, and supports various applications in a readable and efficient manner.
Answered on 07/08/2023 Learn IT Courses/Programming Languages/Python
To gain an in-depth understanding of Python, follow these steps:
1. **Foundational Learning**: Begin with online tutorials or courses to grasp Python's syntax, data types, and basic concepts.
2. **Practice Regularly**: Code daily to reinforce your skills and experiment with different aspects of the language.
3. **Explore Libraries**: Delve into popular libraries like NumPy, Pandas, and Matplotlib for data analysis, or Flask and Django for web development.
4. **Read Books**: Study comprehensive Python books like "Python Crash Course" or "Fluent Python" to deepen your knowledge.
5. **Online Resources**: Utilize websites like Stack Overflow, GitHub, and Python documentation for problem-solving and learning from others' code.
6. **Projects**: Work on personal projects to apply your skills and gain practical experience.
7. **Advanced Topics**: Dive into advanced topics like generators, decorators, concurrency, and design patterns.
8. **Online Courses**: Enroll in advanced online courses or certifications to explore specialized areas like machine learning or cybersecurity.
9. **Collaboration**: Contribute to open-source projects or collaborate on coding challenges to enhance your skills.
10. **Stay Updated**: Keep up with the latest developments through blogs, podcasts, and attending Python conferences or meetups.
Consistency, hands-on practice, and a willingness to explore diverse aspects of Python will help you develop a profound understanding of the language.
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