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Python classes recently conducted by online tutors
Classes recently conducted by online tutors
Mohit taught 1 day ago
The Student and Tutor worked on debugging and implementing a new feature for daily habit logging. They resolved issues related to code deployment, database migrations, and user interface behavior. The immediate next step is a code review by the Tutor and a follow-up session scheduled for tomorrow.
Debugging Deployment Issues
Identifying Backend Errors
Using Supabase Migrations
Troubleshooting React Modal Behavior
Mohit taught 4 days ago
The Tutor guided the Student in enhancing a task management application by adding features like detailed task fields, reminders, and exploring AI integration for task analysis. The Student worked on resolving database migration issues and learned about utilizing '.gitignore' files. The next steps involve refining the user interface and deploying the updated application.
Enhancing Task Management UI
AI Integration for Task Breakdown
Database Migrations for Schema Updates
Using `npm run build` for Error Detection
Git Ignore Files
Mohit taught 5 days ago
The session covered deploying website updates, improving UI using AI, and troubleshooting logo sizing. The Student learned how to push changes to GitHub, merge pull requests, and deploy to Vercel. The importance of consistent themes and reviewing AI changes was emphasized.
Version Control with Git
Deploying with Vercel
AI-Assisted Development
Iterative Design Process
Image Optimization
Sridevi taught 7 days ago
The session covered Morse code conversion using dictionaries, binary tree construction in Python, and finding the depth and comparing leaf values of binary trees. The Student practiced implementing code snippets for these concepts. The tutor suggested practicing binary tree construction.
Morse Code Transformation
Binary Tree Construction
Binary Tree Depth Calculation
Leaf Node Sequence Comparison
Mohit taught 7 days ago
The Student reviewed GitHub processes for branching, merging, and deploying code changes. They successfully deployed changes to a feature branch and merged it into the main branch of the project. The session concluded with planning the user journey and discussing the student's next steps in developing the application's features.
Git Branching
Merging Git Branches
Deploying Changes with Git
Commiting Changes in VS Code
User Journey
Sridevi taught 10 days ago
The Tutor and Student reviewed conditional statements (`if`, `else`, `elif`) and loops (`for`, `while`) in Python, as well as list comprehensions. The Student practiced writing code using these concepts. The Student does not have further assignments, and will resume classes in January.
Nested If Statements
For Loops with Range
Looping Through Strings and Lists
Looping Through Dictionaries
Nested For Loops
While Loops
List Comprehension
Online Python learning at Wiingy
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451 Python tutors available
Expert Online Python tutors
90% hold a Python certification
Online Python Industry experience
87% of tutors have worked in software development
Learn Python Online: Master Programming with Expert Python Tutors

Why Choose Python for Your Coding Journey?
Python is the most popular programming language in the world for a reason it’s easy to read, beginner-friendly, and incredibly versatile. From web development and automation to data science and artificial intelligence, Python powers everything. Its straightforward syntax makes coding approachable, helping you quickly understand and write effective programs, no matter your skill level.
What Can You Do With Python?
Python is widely used in diverse fields and industries, including:
- Web Development: Build robust websites and apps using Django, Flask, or FastAPI frameworks.
- Data Science & Analysis: Analyse and visualise data using libraries like Pandas, NumPy, and Matplotlib.
- Artificial Intelligence & Machine Learning: Create intelligent systems and predictive models with TensorFlow, Keras, and scikit-learn.
- Automation & Scripting: Automate everyday tasks, improve efficiency, and simplify workflows.
- Game Development: Develop engaging games and interactive experiences using libraries like Pygame.
Why Learning Python Online is More Effective
Learning Python online is an exceptionally effective way to master coding, offering distinct advantages over traditional methods. Here's why:
1. Personalised Learning Experience
Online Python tutoring provides one-on-one interaction tailored specifically to your learning speed, style, and goals. Unlike crowded classrooms, you get direct, customised support, helping you grasp complex concepts quickly.
2. Flexible Scheduling
Online learning gives you the freedom to learn anytime, anywhere. Whether you're at home, in a café, or traveling, you can consistently progress without interruption. Flexibility helps you fit Python lessons seamlessly into your daily life.
3. Instant Feedback and Support
With online Python tutoring, you receive immediate feedback on your code, accelerating your learning process. Tutors identify and correct mistakes instantly, guiding you towards better coding habits right from the start.
4. Interactive and Engaging Learning
Online Python platforms often use interactive tools, coding challenges, quizzes, and visual demonstrations. This interactive approach makes Python learning engaging, enjoyable, and easy to retain.
5. Access to Top Experts Globally
Online Python tutoring connects you with experienced tutors from around the world. You're not limited by geography, so you can choose tutors who specialise in areas aligned with your interests, such as web development, data science, or AI.
6. Real-World Projects and Applications
Online Python courses often emphasize hands-on projects and real-world scenarios. You’ll build practical skills quickly, working on tasks that mirror professional environments preparing you effectively for future job opportunities.
7. Cost-Effectiveness
Online Python learning eliminates travel expenses, saves commuting time, and provides affordable course options. You receive high-quality education without the added costs associated with traditional classroom setups.
8. Continuous Access to Resources
Online learning platforms provide recordings, notes, and resources available 24/7. You can revisit lessons, review key concepts, or practice coding whenever needed, ensuring thorough understanding and long-term retention.
9. Comfortable Learning Environment
Learning Python online allows you to study comfortably and confidently from your own space. A stress-free learning environment significantly enhances your concentration, motivation, and overall success.
When Should You Start Learning Python?
There's never been a better time than now. With expert online tutors, easy access to resources, and countless career opportunities waiting, today is perfect to begin your Python learning journey.
Where Can Python Skills Take You?
Learning Python opens the door to numerous exciting career paths, including:
- Software Developer
- Data Scientist
- Machine Learning Engineer
- Web Developer
- Cybersecurity Analyst
- Automation Specialist


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