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Pythonic Excellence!

Become the Python Ninja with our courses

Code excellence
and unlock the power of Python

Python courses offer a wide range of benefits, which make them an ideal choice for beginners, professionals, and aspiring developers alike.

Ease of Learning

The python language's syntax is clear and simple, making it easy for beginners to learn.

Adaptability

Automation, scripting, data analysis, machine learning, and AI use Python.

Vibrant Community

Access resources, forums, and libraries that foster collaboration among Python developers.

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We found 71 courses available for you
Course Meta
7 Weeks
₹5000
Python Networking and Socket Programming
(3.0 /7 Rating)

Learn socket programming, client-server communication, and building network applications with Python.

  • 6 Lessons
  • 20 Students
Beginner
Python Networking and Socket Programming
(3)
  • 10 Lessons
  • 20 hrs
  • All Levels
What You’ll Learn?
  • Establish socket connections, send and receive data between networked devices, and build client-server applications.
  • Manage network errors and implement reliable data transmission using TCP/UDP protocols.
  • Python can build chat servers, file transfer systems, and real-time communication tools.
Course Meta
8 Weeks
₹8500
Data Science with Python: Exploratory Data Analysis
(5.0 /7 Rating)

Learn exploratory data analysis techniques, data visualization, and statistical insights using Python.

  • 12 Lessons
  • 25 Students
Advanced
Data Science with Python: Exploratory Data Analysis
(5)
  • 12 Lessons
  • 15 hrs
  • All Levels
What You’ll Learn?
  • Explore and preprocess data, handle missing values outliers, and understand data distributions.
  • Discover trends, patterns, and correlations with Matplotlib and Seaborn visualization libraries.
  • They are analyzing data, making informed decisions, and concluding with statistical methods.
Course Meta
6 Weeks
₹3500
Python Testing and Test Automation
(5.0 /7 Rating)

Explore testing methodologies and tools for Python applications, including unit, integration, and automation testing.

  • 8 Lessons
  • 20 Students
Intermediate
Python Testing and Test Automation
(5)
  • 10 Lessons
  • 20 hrs
  • All Levels
What You’ll Learn?
  • Write and execute unit, integration, and suite tests using testing frameworks like unit tests.
  • Developing automated testing pipelines to integrate testing into the development process.
  • Create test reports, analyze test coverage, and identify code areas that need further testing.
Course Meta
4 Weeks
₹3500
Python Concurrency and Multithreading
(4.0 /7 Rating)

Discover the power of concurrency in Python, and learn how to manage multiple threads and processes for a parallel, efficient execution.

  • 6 Lessons
  • 25 Students
Beginner
Python Concurrency and Multithreading
(4)
  • 6 Lessons
  • 10 hrs
  • All Levels
What You’ll Learn?
  • Convergence versus parallelism, Global Interpreter Lock (GIL), and techniques for simultaneous execution are discussed.
  • Enhance thread performance by creating and managing threads using the threading module.
  • Data integrity is ensured through synchronization mechanisms such as locks and semaphores.
Course Meta
5 Weeks
₹6000
Python Web Development with Django
(5.0 /7 Rating)

Build robust and feature-rich web applications with Python using the Django framework.

  • 10 Lessons
  • 20 Students
Professionals
Python Web Development with Django
(5)
  • 10 Lessons
  • 20 hrs
  • All Levels
What You’ll Learn?
  • Developing web applications with models, views, templates, and forms using the Django framework.
  • Integrate databases, design data models, perform CRUD operations, and manage users.
  • Implement deployment strategies, host Django applications, and manage security and scalability.
Course Meta
6 Weeks
₹7000
Deep Learning Fundamentals with Python and TensorFlow
(3.0 /7 Rating)

Learn the basics of learning deep networks, training models, and basic architectures using Python and TensorFlow.

  • 10 Lessons
  • 32 Students
Beginner
Deep Learning Fundamentals with Python and TensorFlow
(3)
  • 10 Lessons
  • 20 hrs
  • All Levels
What You’ll Learn?
  • Understanding neural networks, activation functions, and basic architectures is the key to deep learning.
  • Build, train, and evaluate neural networks for image classification and regression using TensorFlow.
  • Interpret and visualize deep learning models, gaining insights into their decision-making processes.
Course Meta
5 Weeks
₹5000
Python for Web Scraping and API Integration
(5.0 /7 Rating)

Learn web scraping techniques and how to integrate with APIs, gathering and processing data.

  • 8 Lessons
  • 25 Students
Advanced
Python for Web Scraping and API Integration
(5)
  • 8 Lessons
  • 18 hrs
  • All Levels
What You’ll Learn?
  • Extract data from websites and APIs using libraries such as BeautifulSoup and Requests.
  • Making HTTP requests, handling responses, and integrating data with APIs are all covered.
  • Collect and process data from various sources using web scraping and API integration.
Course Meta
4 Weeks
₹4500
Advanced Python Libraries: SQLAlchemy, Requests, and More
(4.5 /7 Rating)

Discover advanced Python libraries such as SQLAlchemy, Requests, and more.

  • 6 Lessons
  • 20 Students
Advanced
Advanced Python Libraries: SQLAlchemy, Requests, and More
(5)
  • 6 Lessons
  • 15 hrs
  • All Levels
What You’ll Learn?
  • Perform advanced queries, manage data effectively, and interact with databases with SQLAlchemy.
  • Making HTTP requests, handling authentication, and working with APIs using the Requests library.
  • Explore advanced libraries for image manipulation, data analysis, and more, including Beautiful Soup and Pillow.
Course Meta
4 Weeks
₹6500
Natural Language Processing with Python
(4.0 /7 Rating)

Learn NLP techniques using Python, including text preprocessing, sentiment analysis, and language modeling.

  • 8 Lessons
  • 28 Students
Professional
Natural Language Processing with Python
(5)
  • 8 Lessons
  • 15 hrs
  • All Levels
What You’ll Learn?
  • Learn about text preprocessing techniques, cleaning, and tokenizing text data for analysis.
  • Learn how to build and train text classification models using Naive Bayes, SVM, and deep learning.
  • With libraries like NLTK and spaCy, explore named entity recognition, sentiment analysis, and text generation.