Python tutor near me in the USA
Python tutoring with trusted tutors in the USA
Python tutoring from beginner to advanced
Python taught to students by USA tutors
Python instruction in New York, Los Angeles
Sridevi taught 8 days ago
The session focused on Python algorithms, including removing number pairs summing to k, finding equal row-column pairs in a matrix using collections, and cleaning strings by removing characters next to stars using stacks. The Student practiced problem-solving techniques related to these algorithms and data structures. The next session will cover deleting the middle node of a linked list and additional problems.
Finding Pairs with a Target Sum in a List
Identifying Equal Row and Column Pairs in a Matrix
Cleaning Strings by Removing Characters Adjacent to Stars
Understanding the Difference Between Stacks and Queues
Sonali taught 19 days ago
The session involved a detailed explanation of the random forest algorithm, differentiating it from the bagging method, and discussing strategies to avoid overfitting. The Student also took a quiz to test their knowledge, achieving a perfect score. The Student and Tutor scheduled another session to work on the code implementation of the random forest algorithm.
Bagging vs. Random Forest: Core Difference
Overfitting in Bagging and Random Forests
Feature Selection and Missing Data
Random Forest Algorithm Steps
Out-of-Bag (OOB) Error
Class Weight in Random Forest
Dr. Gurinderjeet taught 23 days ago
The Student worked on a merging sorted arrays problem, focusing on in-place modification and pointer manipulation. The Tutor explained the logic behind starting from the end of the arrays and using three pointers for comparison and placement. The Student will continue practicing similar algorithmic problems.
Merging Sorted Arrays
Pointer Placement
Comparison and Assignment
Handling Remaining Elements
Sonali taught 28 days ago
The Student and Tutor reviewed decision tree pruning techniques, focusing on post-pruning methods and cost complexity pruning. The Student worked through a Colab notebook, implementing post-pruning and evaluating model performance on test data. The Tutor assigned review of bagging and random forest for the next session.
Garment Measurement vs. Body Measurement
Pre-Pruning vs. Post-Pruning
Cost Complexity Pruning (CCP) and Alpha
Selecting the Optimal Model
Importance of the Recall Metric
Sonali taught about 1 month ago
The class covered univariate and bivariate data analysis techniques in Python using libraries like Seaborn. The student practiced creating and interpreting various plots, including histograms, box plots, bar plots, and heatmaps, to understand data distributions and relationships. Data preprocessing steps, such as outlier detection and feature selection, were also discussed to prepare for model building in the next session.
Univariate Analysis with Histograms and Box Plots
Labeled Bar Plots for Categorical Data
Bivariate Analysis and Stacked Bar Plots
Heatmaps for Correlation Analysis
Identifying and Handling Outliers with Quantiles
Steven taught about 1 month ago
The student and tutor reviewed the steps of the data life cycle to build a regression model, focusing on feature engineering, data scaling, and train-test splitting. They analyzed correlation matrices and discussed the impact of data standardization. The student plans to complete the assignment, incorporating the discussed techniques and insights.
Data Life Cycle
Outlier Handling
Feature Scaling (Standardization)
Data Splitting: Train
Test
Importance of Context in Data Interpretation
Random Seed for Reproducibility
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Python class statistics in the U.S.
Total Python tutors
394 Python tutors available
Expert Python tutors
76% hold a Master’s degree
Python Industry experience
84% of tutors have worked in software development
Everything you need to know about Python
All about learning python
Python, used by 50% of developers worldwide, is a high-level, object-oriented programming language known for its readability and simplicity. It powers web frameworks (Django, Flask), data science (Pandas, NumPy), machine learning (TensorFlow, PyTorch), and IoT applications (MicroPython). With its versatility, python developers earn an average of $120,000 per year in the U.S. (Indeed).
You can learn python through self-study, coding boot camps, online courses, or tutoring. While self-study could allow learning at your own pace, a private tutor can help in fast and structured learning, making it ideal for those who want to master Python faster.
However, challenges like debugging errors, grasping complex libraries, and applying concepts can slow progress. Most learners take 3 to 6 months to gain proficiency, but real expertise comes with practice.
With python’s growing demand in AI, fintech, and cybersecurity, mastering it is a smart investment. Whether through self-learning or a tutor, consistency and hands-on practice are key to success.
How can a tutor help you in learning python?
Assignment help & exam prep
Ever struggled with a tough python assignment? A tutor can pinpoint challenges and guide you through recursive functions, debugging loops, or data structures.
Beyond assignments, they identify concept gaps and fill them with practical coding exercises in file handling, SQL, or Matplotlib. This hands-on approach boosts exam performance and builds confidence for future tasks.
Debugging & error resolution
Ever spent hours stuck on a bug? A tutor can walk you through debugging, explain error messages, and show you how to write cleaner, more efficient code. With personalized guidance, you’ll write cleaner, more efficient, and Pythonic code that’s easier to understand and maintain.
Hands-on learning & real projects
A tutor can guide you through real-world python applications—building Django web apps, automating tasks with Selenium, or writing REST APIs with Flask. This hands-on approach gives you the skills to excel in python development!
What to look for in a python tutor?
Experience and expertise
Look for a python tutor with a strong background in fields like data science, machine learning, or web development.
A Python tutor with experience in real-life projects, like building machine learning models, creating web apps with Flask or Django, or analyzing data with pandas, can offer you valuable insights and improve your learning.
Teaching skills and practical knowledge
Python tutors who use real-life examples can help you understand topics better. For instance, if you're building projects like GUI applications in Tkinter or customer segmentation models in data science, a tutor integrates real-world examples to explain concepts, making complex topics easier to grasp.
Cost
The cost of python tutors online ranges between $30 to $200 per hour, depending on factors like the tutor's experience, location, and the platform used. Beginner tutors or group sessions are usually cheaper, while experienced professionals or one-on-one sessions cost more.
Wiingy offers 1-on-1 python tutoring at an affordable rate of 28$ per session.
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