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Zack Plauché
Scrapy tutor
US$75.00 /15 minAmerican (native English speaker) living abroad 🙂 Recently evacuated from Ukraine. I teach people how to get projects built fast and become successful developers 🔥. **Free Resources** ▶️ I have a growing [YouTube channel](https://www.youtube.com/channel/UCPsi8tNv7UuNRljOTK5sl4A) where I cover popular requests I get. 👾 I also have a growing [Discord community](https://discord.gg/qA2jRybdRy) with dedicated developers and ***special offers that you should take advantage of*** (hint hint nudge nudge). **Why Work With Me?** ⭐ More than 250+ 5 Star Reviews (see my [Wyzant profile](https://www.wyzant.com/match/tutor/87903194) too) 🗽 Native English speaker ✅ EXTREMELY responsive (from 10am to 10pm Portugal time) 💰 Successfully started and improved software dev careers for multiple clients. ⚪ Able to communicate complex topics simply ❤️🔥 Burning passion for coding and teaching 👁️ Can provide Process Maps for visual learners **Refund Policy** 💸 If I'm unable to help, you get a full refund. Easy 🙂 **Backstory** I started programming in 2018 after my mentor told me that it really fits the way I think. Before I started I was learning marketing, working in Facebook Ads and Shopify Stores (with Google Analytics, VWO, and other website optimization softwares), I was more interested in automation, and building to do tasks only once. I started at first learning Python for automation (which is still my primary language and what I really enjoy coding in). Eventually, I learned that by itself, Python isn't that sharable if you want other non-coders to use the my apps, so I grew my way into web development, diving deep into Django, HTML & CSS, building multiple sites with only those to get experience, for example: - My website: https://www.zackplauche.com/ - A mini app I built: https://www.dollarperhourcalculator.com And more :) Then eventually learning JavaScript and the Vue.js framework to take my websites, designs, and User Experiences to the next level, building at first simple apps like my DollarPerHour Calculator (https://zackplauche.github.io/DollarPerHourCalculator/), and more advanced ones, like the current one I'm developing (still in progress, but it's the biggest app I've ever build, using both Vue.js and Django). I've been teaching programming since 2019, and my students have loved me. I have students I work with that have been working with me weekly since I first started (more than 5 years now!). They helped me keep both my coding and teaching career sustainable as I was helping them with their issues, training them to be effective developers, starting my own software agency, and building my own apps. I'm extremely grateful to my students and truly care about and do my best to support their success in whatever their endeavors.
Riza
Scrapy tutor
US$20.00 /15 minI'm a **professional software engineer** having more than **7+ years of experience** in the programming. So I'll be honored to work with you for any project you require at the lowest cost with the best quality. As a Full Stack Developer, I have worked on a variety of projects ranging from small websites to large scale enterprise applications. My expertise includes front-end technologies such as **HTML5, CSS3,Bootstrap,Material UI, JavaScript, React, and Angular** as well as back-end technologies such as **.NET Core, MVC 5 ,REST FUL API, C# and SQL server**. Additionally, I have experience in Repository pattern, cloud deployment using Azure and AWS.
- Scrapy
- Next.js
- FlutterFlow
- React
- C#
- .NET Core
- Angular
- Web Scraping
- JavaScript
- SQL
- OpenAI APIs
- ASP.NET Web API
- Mobile App Development
- Web Design
- Flutter
- HTML/CSS
- Git
- Design Pattern
- jQuery
- Desktop Applications
- Responsive Design
- Digital Graphics
- SEO
- CSS3
- Azure
- Bootstrap
- AI Engineer
- AI Chatbot
- AI
- Openapi specification
- OpenAI
- Web Application
- Web Development
- SEO strategy
- Next UI
- NestJS
- JSON
- Redux
- React Router
- npm
- Node.js
- RESTful API
- Database Schema
- Database
- Microsoft SQL Server
- SQL Server 2014
- SQL Queries
- SQL Server 2008
- SQL Databases
- SQLite
- SQL Server 2012
- JSON API
- JSX
- Jquery custom plugins
- DataTables
- jQuery UI/Bootstrap
- jQuery UI
- JavaScript OOP
- API Documentation
- Api testing
- API Integration
- API
- ASP.NET Core
- .NET Framework
- ASP.NET MVC
- LINQ
- .NET
- Bootstrap 5
- Bootstrap 4
- Bootstrap 3
- Design Architecture
- Design
- SEO Hacks
- SEO Analysis
- MVC
- Design Systems
- Design Principles
- Digital Design
- Graphics
- Angular 2
- Android Studio
- Mobile App Design
- Mobile design
- Mobile UI
- Mobile first
- Flutter Plugin
- Responsive Web Development
- Angular 4
- SignalR
- Microservices
- MVC Framework
- ASP.NET
- Visual Studio 2012
- Visual Studio
- Typography
- TypeScript
- Angular 6
- Ionic 3
- Ionic
- Material Design
- Version control
- GitLab
- GitHub
- Oracle SQL
- Development
- WinForms
- Windows Application
- jQuery Mobile
- Full Stack
- Webflow
- Mobile App Testing
- Data Crawling
- Web Crawling
Anuvrat Parashar
Scrapy tutor
US$50.00 /15 min
I succeed or your **money back.** Skillset includes: python, elixir, rust, golang, c++, lua et al. Diving into, understanding and debugging codebases alien to me is one of my core expertise. I run a software development shop called essentia.dev and actively participate in the open source communities in India. ====== How does it work? - We start a 1:1 session. - Both of us join the zoom call. - You start the session timer and pause it. - You share your screen and explain the problem statement. - I do some research if necessary. - We resume the timer and I try to help. - Full refund if I do not succeed.
- Scrapy
- Programming
- Back-End
- Front-End
- DevOps
- Python
- Linux
- Ansible
- AWS
- Phoenix Framework
- MySQL
- MongoDB
- Twisted
- Git
- Qt
- PostgreSQL
- Elasticsearch
- Redis
- Celery
- Flask
- Django
- SSH
- tmux
- Zsh
- Bash
- Fedora
- Ubuntu
- pytest
- Mocking
- Pandas
- AsyncIO
- JavaScript
- HTML/CSS
- React
- D3.js
- Socket.IO
- Vue.js
- Groovy
- Lua
- Elixir
- Rust
- Google Cloud Platform
- AWS Lambda
- Eks
- Amazon ECS
- Elasticache
- Amazon S3
- SES
- Amazon EC2
- Kubernetes
- Terraform
- Jenkins
- Rds
- Azure
- Linux System Administration
- DigitalOcean
- Aws route 53
- Arch linux
Sanyam Khurana
Scrapy tutor
US$45.00 /15 minSanyam Khurana, an Open Source contributor who predominantly goes by the moniker "CuriousLearner," achieved summa cum laude distinction upon obtaining a Master's degree in Computer Science from the Georgia Institute of Technology, specializing in Machine Learning and Interactive Intelligence. He is also an AWS certified Solutions Architect. Sanyam has demonstrated an unwavering commitment to the Open Source community, having served as a GSoC mentor for Debian and an individual member of the Django Software Foundation (DSF). His GitHub profile (https://github.com/CuriousLearner/) is filled with evidence of his contributions to numerous upstream projects. He has delivered presentations at a variety of international conferences, including PyCon Australia (https://www.youtube.com/watch?v=go7JklZRtrs) and DjangoCon US (https://www.youtube.com/watch?v=aiZ_1gsS4F8). Sanyam's work has also been instrumental in maintaining and improving CPython, Python's interpreter, as a dedicated bug triager who actively contributes patches upstream. He has also contributed various patches and bug reports upstream to Mozilla Organization's Gecko Engine, in addition to maintaining several upstream projects across different organizations. As a vouched Mozillian, Sanyam has earned the distinction of being an official representative of Mozilla, and his contributions have been recognized in the AUTHORS and credits sections of every browser ever released by Mozilla. He served as a mentor for PyDSA during RGSoC 2017.
Tanisha Bhayani
Scrapy tutor
US$50.00 /15 min6 years of experience in building and managing AI Systems. * I develop end-to-end AI systems from requirements analysis, and data gathering to deployment, implementing new methods/research papers, and turning projects into research outcomes. I have achieved substantial performance in DL/ML/RL models for CV and NLP domain problems. * Implementing and deploying projects handling and maintaining scalability, research papers as well as POCs. * Project planning, requirements gathering, and analysing requirements to define the system's architecture, and implementation timeline. * Provide mentoring to junior developers for ML projects. Website: [roshantanisha.github.io/?ref=codementor](http://roshantanisha.github.io/?ref=codementor) Summary: I like to work on technology that is smart, simple and sophisticated. This sums up the vast knowledge required to work on projects to excel in a working product. I like to train Deep Neural Networks and understand them well. I have mentored many students for their AI careers, teaching them Machine Learning and Mathematics. I am a mentor for the RFS (Reach for the Stars) Programme by the Aga Khan Education Board for India. I am an alumnus of this program as well. I have a cumulative experience of 6 years working in the product and service-based industry for creating Machine Learning projects. I have done some innovative work that I am proud of and am continuing to do so. I try my best to contribute my expertise to the project I am working on. Highly Experienced in Machine Learning, Deep Learning, Advanced Deep Learning, Artificial Intelligence, and Algorithms, including models in the production environment, and deploying ML models. Working with top Indian colleges like BITS, niche NLP and CV, real-estate startups, MNCs, and Fortune top 20 companies, working with sensitive anonymized datasets, and creating state-of-the-art models are some of my achievements. I have strong and correct knowledge of Deep Learning concepts from the above experiences.
- Scrapy
- Python 3
- AI
- Machine learning
- Machine Learning Deployment
- Web Development
- Keras
- TensorFlow
- SQL
- Python
- Deep Learning
- Git
- Gunicorn
- Cython
- TensorFlow.js
- Angular
- React
- Mobile App Development
- Web Scraping
- TypeScript
- Responsive Web Development
- MongoDB
- PostgreSQL
- MySQL
- Computer Vision Engineering
- PyTorch
- Deep Learning Pipeline
- Deep Reinforcement Learning
- Scipy
- Matplotlib
- Pandas
- Python Tkinter
- Python 2
- Cloud Functions
- AWS SageMaker
- Azure
- Google Cloud Platform
- GPU
- AWS
- Kubernetes
- Docker
- Machine Learning System Design
- Machine Learning Frameworks
- Machine Learning Research
- Machine Learning Models
- Open Source Software
- AI/ML
- AI Chatbot
- OpenAI APIs
- OpenCV
- OpenAI
- GPT-4
- GPT-3
- GPT
- Research
- LLM
- Large Language Models
- Data Visualization
- Data Engineering
- Data Science
- Artificial Neural Networks
- NumPy
- Flask
Udit Agarwal
Scrapy tutor
US$25.00 /15 min*AVAILABLE FOR CODE_REVIEWS* Hi there! I'm Udit :) I have been programming in Python for the last 6 years dealing in Web, Data Science, Hardware, Maths, Business Applications, Automation Projects & Web Scrapers. I'm available for jobs and sessions on specific days and in certain business hours. If you'd like to book a session, please use https://calendly.com/wudit/15min which is synced with my Calendar I'd like to help you here, these are some of the things you can talk to me about * Design & Developing Django, Flask Web Applications * Design & Developing REST APIs * Deploying Python application to Servers (A lot of SysAdmin stuff) * SQL & NoSQL Databases * Key-Value Stores like Redis, DynamoDB * Solr & ElasticSearch Implementations * Serverless Python Application deployments on AWS Lambda (my new favorite) * Wordpress Customization and Deployment * Javascript, HTML & CSS * Dash and Plotly Dashboards * Pandas Data Analysis * ETL Systems * Quantopian I can also help you with Pandas, NumPy (rudimentary data science questions), Math problems development and implementation (I really enjoy doing these), Web scrapers (Scrapy or Requests BS4). I also love to teach and explain concepts in the simplest way. Being a self-taught programmer, I know the difficulties and problems that each of us face when trying to learn and pick up a new language. Let's use the chat to communicate and understand problems first before heading into a session as it can save all of us from bad experiences so feel free to message me.
- Scrapy
- macOS
- AWS
- WordPress
- DigitalOcean
- Excel
- Django
- Python
- Deploy
- Excel formulas
- Aws iam
- Aws elastic beanstalk
- Security software
- Database
- Web Service
- SSRS
- JavaScript
- Backups
- Ubuntu
- Terminal
- Iterm
- Brew
- Calculation
- String
- Formula
- Macros
- Lookup
- HTML/CSS
- Amazon EBS
- Amazon S3
- Amazon EC2
- Amazon RDS
- API
- Testing techniques
- Flask
- Django tastypie
- Web Scraping
- Celery
- Django redis
- Pandas
Find your personal Scrapy tutor on Codementor today 
Users love our Scrapy tutors
See the power of our Scrapy tutors through glowing user reviews that showcase their successful Scrapy learning journeys. Don't miss out on top-notch Scrapy training.
“I had a really good session with Silvia, it was very informative and well prepared. Silvia was able to reply to all my questions and doubts in a clear and structured manner. Even though computer vision is not the easiest topic in computer science, she made it simple and understandable. I highly recommend Silvia to anyone willing to learn about computer vision and deep learning.“
Antoni G. / Feb 2025
Silvia Magrelli
Scrapy tutor
“Naveen was helping me with Load Runner script. He figured out the issue I had and fixed it. He is very patient, explains the topic in a great manner. Also, very polite and easy to work with. He has exceptional troubleshooting skills. Thank you Naveen!“
elena n / Feb 2025
Naveen Rai
Scrapy tutor
“The session with Silvia was incredibly insightful making complex topics such as neural networks, language models, deep learning and the latest machine learning algorithms both approachable and engaging. She provided an excellent balance of theory and hands-on practice, which helped solidify my understanding of how large language models work. We dove into the mechanics behind deep learning models, and the explanations were clear and accessible, making it easy to grasp advanced concept. I would highly recommend her to anyone looking to deepen their knowledge in AI, LLMs, and Deep Learning and how to apply the latest techniques to real-world applications.“
Koen Rotty / Feb 2025
Silvia Magrelli
Scrapy tutor
“I had a great introductory session on FAANG interview preparation and Leetcode problem-solving strategies. Silvia provided clear explanations of the interview structure and outlined a strategic plan for mastering key algorithmic patterns and problem-solving approaches, including advanced deep learning and system design use cases. We discussed an effective study roadmap and worked through an example problem related to lung disease analysis, exploring potential applications of CLIPS and diffusion models. The session was interactive, well-structured, and tailored to my needs. Looking forward to more sessions“
Andrea Martini / Feb 2025
Silvia Magrelli
Scrapy tutor
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We'll help connect you with a Scrapy tutor that suits your needs.
Find the most suitable Scrapy tutor by chatting with Scrapy experts.
Arrange regular session times with Scrapy tutors for one-on-one instruction.
Frequently asked questions
How to learn Scrapy?
Learning Scrapy effectively takes a structured approach, whether you're starting as a beginner or aiming to improve your existing skills. Here are key steps to guide you through the learning process:
- Understand the basics: Start with the fundamentals of Scrapy. You can find free courses and tutorials online that cater specifically to beginners. These resources make it easy for you to grasp the core concepts and basic syntax of Scrapy, laying a solid foundation for further growth.
- Practice regularly: Hands-on practice is crucial. Work on small projects or coding exercises that challenge you to apply what you've learned. This practical experience strengthens your knowledge and builds your coding skills.
- Seek expert guidance: Connect with experienced Scrapy tutors on Codementor for one-on-one mentorship. Our mentors offer personalized support, helping you troubleshoot problems, review your code, and navigate more complex topics as your skills develop.
- Join online communities: Engage with other learners and professionals in Scrapy through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
- Build real-world projects: Apply your Scrapy skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Scrapy in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
- Stay updated: Since Scrapy is continually evolving, staying informed about the latest developments and advanced features is essential. Follow relevant blogs, subscribe to newsletters, and participate in workshops to keep your skills up-to-date and relevant.
How long does it take to learn Scrapy?
The time it takes to learn Scrapy depends greatly on several factors, including your prior experience, the complexity of the language or tech stack, and how much time you dedicate to learning. Here’s a general framework to help you set realistic expectations:
- Beginner level: If you are starting from scratch, getting comfortable with the basics of Scrapy typically takes about 3 to 6 months. During this period, you'll learn the fundamental concepts and begin applying them in simple projects.
- Intermediate level: Advancing to an intermediate level can take an additional 6 to 12 months. At this stage, you should be working on more complex projects and deepening your understanding of Scrapy’s more advanced features and best practices.
- Advanced level: Achieving proficiency or an advanced level of skill in Scrapy generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Scrapy, contributing to major projects, and possibly specializing in specific areas within Scrapy.
- Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Scrapy. Engaging with new developments, tools, and methodologies in Scrapy is a continuous process throughout your career.
Setting personal learning goals and maintaining a regular learning schedule are crucial. Consider leveraging resources like Codementor to access personalized mentorship and expert guidance, which can accelerate your learning process and help you tackle specific challenges more efficiently.
How much does it cost to find a Scrapy tutor on Codementor?
The cost of finding a Scrapy tutor on Codementor depends on several factors, including the tutor's experience level, the complexity of the topic, and the length of the mentoring session. Here is a breakdown to help you understand the pricing structure:
- Tutor experience: Tutors with extensive experience or high demand skills in Scrapy typically charge higher rates. Conversely, emerging professionals might offer more affordable pricing.
- Pro plans: Codementor also offers subscription plans that provide full access to all mentors and include features like automated mentor matching, which can be a cost-effective option for regular, ongoing support.
- Project-based pricing: If you have a specific project, mentors may offer a flat rate for the complete task instead of an hourly charge. This range can vary widely depending on the project's scope and complexity.
To find the best rate, browse through our Scrapy tutors’ profiles on Codementor, where you can view their rates and read reviews from other learners. This will help you choose a tutor who fits your budget and learning needs.
What are the benefits of learning Scrapy with a dedicated tutor?
Learning Scrapy with a dedicated tutor from Codementor offers several significant benefits that can accelerate your understanding and proficiency:
- Personalized learning: A dedicated tutor adapts the learning experience to your specific needs, skills, and goals. This personalization ensures that you are not just learning Scrapy, but exceling in a way that directly aligns with your objectives.
- Immediate feedback and assistance: Unlike self-paced online courses, a dedicated tutor provides instant feedback on your code, concepts, and practices. This immediate response helps eliminate misunderstandings and sharpens your skills in real-time, making the learning process more efficient.
- Motivation and accountability: Regular sessions with a tutor keep you motivated and accountable. Learning Scrapy can be challenging, and having a dedicated mentor ensures you stay on track and continue making progress towards your learning goals.
- Access to expert insights: Dedicated tutors often bring years of experience and industry knowledge. They can provide insights into best practices, current trends, and professional advice that are invaluable for both learning and career development.
- Career guidance: Tutors can also offer guidance on how to apply Scrapy in professional settings, assist in building a relevant portfolio, and advise on career opportunities, which is particularly beneficial if you plan to transition into a new role or industry.
By leveraging these benefits, you can significantly improve your competency in Scrapy in a structured, supportive, and effective environment.
How does personalized Scrapy mentoring differ from traditional classroom learning?
Personalized Scrapy mentoring through Codementor offers a unique and effective learning approach compared to traditional classroom learning, particularly in these key aspects:
- Customized content: Personalized mentoring adapts the learning material and pace specifically to your needs and skill level. This means the sessions can focus on areas where you need the most help or interest, unlike classroom settings which follow a fixed curriculum for all students.
- One-on-one attention: With personalized mentoring, you receive the undivided attention of the tutor. This allows for immediate feedback and detailed explanations, ensuring that no questions are left unanswered, and concepts are fully understood.
- Flexible scheduling: Personalized mentoring is arranged around your schedule, providing the flexibility to learn at times that are most convenient for you. This is often not possible in traditional classroom settings, which operate on a fixed schedule.
- Pace of learning: In personalized mentoring, the pace can be adjusted according to how quickly or slowly you grasp new concepts. This custom pacing can significantly enhance the learning experience, as opposed to a classroom environment where the pace is set and may not align with every student’s learning speed.
- Practical, hands-on learning: Mentors can provide more practical, hands-on learning experiences tailored to real-world applications. This direct application of skills is often more limited in classroom settings due to the general nature of the curriculum and the number of students involved.
Personalized mentoring thus provides a more tailored, flexible, and intensive learning experience, making it ideal for those who seek a focused and practical approach to mastering Scrapy.
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