Univext is not a marketplace. We hire only the best Python teachers to ensure that you get the best learning experience. We believe education is important and we control the quality of our
teachers by going through a rigorous hiring process. Unlike other platforms, we don't want you to waste your time and money looking for a good teacher. We went through the process for you.
Whether you're a beginner or an expert, we have the right teacher for you. Our teachers are experienced and will help you achieve your goals. They will help you in Python and will
make sure you become a master in no time.
Learn Python at your pace.
Whether you're a busy professional looking to enhance your skills, a student seeking additional academic support, or someone simply looking to pursue a personal interest, you have the
freedom to book classes when you solely want to.
Choose the modules you are interested in to become an expert in Python. On Univext, focus
on what you want to learn and pay only for the classes you need. Check the curriculums below to see the skills you can learn.
What is Python:
Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn't specialized for any specific problems. This versatility, along with its beginner-friendliness, has made it one of the most-used programming languages today in the computer science industry.
What you will learn and cover during your lessons:
Python Basics
In this module, you will learn the basics of Python programming, including data types, variables, operators, control flow statements, and functions.
In this module, you will learn how to use built-in and third-party libraries and modules in Python, including NumPy, Pandas, Matplotlib, and Scikit-learn.
This module covers how to work with APIs (Application Programming Interfaces) in Python, including making HTTP requests, handling JSON data, and using popular API services such as Twitter and Reddit.
In this module, you will learn about the fundamental concepts of object-oriented programming in Python, including classes, objects, methods, inheritance, and polymorphism.
In this module, you will learn about common data structures and algorithms in Python, including arrays, linked lists, stacks, queues, sorting, searching, and graph algorithms.
This module covers how to build web applications in Python using the Flask web framework, including creating routes, handling requests and responses, and integrating with databases.
In this module, you will learn how to use the NumPy and Pandas libraries in Python for data analysis, including working with arrays, data frames, and manipulating data.
This module provides an introduction to machine learning with Python, including supervised and unsupervised learning, classification and regression, and working with popular machine learning libraries like scikit-learn.
In this module, you will learn about object-oriented programming (OOP) in Python, including classes, objects, inheritance, polymorphism, and encapsulation.
In this module, you will learn about advanced data structures and algorithms in Python, including lists, tuples, dictionaries, sets, stacks, queues, trees, and graphs.
This module covers web development in Python using Flask, including creating RESTful APIs, handling user authentication, and using templates and forms.
In this module, you will learn how to use Python for data analysis and machine learning, including data manipulation with pandas, data visualization with matplotlib and seaborn, and machine learning with scikit-learn.
This module covers how to use the Pandas library for data analysis in Python, including reading and writing data, manipulating data frames, and visualizing data.
In this module, you will learn how to use Django, a popular web framework for Python, to build web applications. Topics covered include URL routing, views, templates, forms, and database integration.
This module covers asynchronous programming in Python, including working with async and await syntax, asyncio library, and concurrent programming using threads and processes.
This module covers how to work with APIs in Python, including making HTTP requests, handling responses, and working with popular APIs such as Google Maps, Twitter, and GitHub.
In this module, you will learn how to use Matplotlib and Seaborn to create professional-quality data visualizations, including scatter plots, bar charts, and heat maps.
This module covers machine learning with Scikit-Learn, including working with classification, regression, and clustering algorithms, as well as feature selection and data preprocessing.
In this module, you will learn how to use BeautifulSoup and Scrapy to extract data from websites and APIs, including working with HTML, XML, and JSON data formats.
It's very simple. Register an account on Univext for free. After you have created your account, you will be able to book a free trial lesson with one of our teachers.
