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Python classes recently conducted by online tutors
Classes recently conducted by online tutors
Sonali taught 20 days ago
The Student and Tutor discussed the creation of a presentation based on a food hub project. They outlined the key components of the presentation, including defining the problem, solution approach, and data overview using univariate and multivariate analysis. The student will gather screenshots of data and insights to include in the presentation, and also plans to clarify expectations for the presentation content with an instructor.
Business Problem Definition
Root Cause Analysis Techniques
Univariate Analysis
Multivariate Analysis
Actionable Insights and Recommendations
Considering Future Scope (Reordering Analysis)
Sonali taught 26 days ago
The session involved the student taking a quiz covering structure and unstructured data, text as vectors, text cleaning, sentiment analysis, and lexical analysis. The student worked through the quiz questions with some guidance. They planned to work on a project in the next session.
Bi-grams
N-grams vs. Bag of Words (BoW)
Bag of Words (BoW) Model
Sentiment Analysis
Stemming
Regular Expressions (Regex)
Lowercasing
Sonali taught 30 days ago
The Student learned data visualization in Python, covering Matplotlib, Seaborn, and Plotly. The Student practiced creating scatter plots, line charts, histograms, and bar charts. The next session will cover bivariate analysis and review the project requirements.
Data Visualization with Matplotlib
Data Visualization with Seaborn
Data Visualization with Plotly Express
Types of Data Visualizations
Sonali taught about 1 month ago
The session covered advanced filtering and manipulation techniques on Pandas DataFrames using conditions, logical operators, and string functions. The student practiced applying these techniques and completed a related quiz, receiving a passing grade. The student will be reviewing material and complete a test, while the Tutor will prepare for future sessions.
Pandas Library Activation
Filtering DataFrames with Conditions
Combining Conditions with 'and' and 'or'
Using the 'isin' Method
The 'between' Method for Range Filtering
String Operations for DataFrame Filtering
DataFrame Manipulation: Adding and Dropping Columns
Sonali taught about 1 month ago
The Student and Tutor reviewed NumPy array creation and manipulation in Python, including creating different dimensional arrays, reshaping, sorting, and applying arithmetic operations. The Student practiced identifying array elements using indexing. The Tutor assigned pandas exercises for the next session and scheduled follow-up meetings to prepare for the upcoming quiz.
NumPy Arrays vs. Python Lists
Creating NumPy Arrays
Array Reshaping
Array Flattening
Filtering Arrays with Conditions
Arithmetic Operations on Arrays
Matrix Multiplication
Mohit taught about 1 month ago
Mohit and Chris recently discussed Chris's aspiration to build a SaaS product, focusing on transitioning his Python learning into practical application. Mohit recommended that Chris develop a product outline document and investigate frameworks such as Next.js for accelerated development, suggesting the use of AI tools to assist in this process. They made plans to review the product description in their upcoming lesson and explore suitable development frameworks.
Product Outline
Minimum Viable Product (MVP)
Next.js Framework
AI in Web Development
Online Python learning at Wiingy
Total Online Python tutors
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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