Language: English
Created by: Anshu Goyal
Rate: 0.0 / 0 ratings
Enroll: 481 students
What you’ll learn
- Python Fundamentals
- Advanced Python Concepts
- Object-Oriented Programming (OOP)
- Web Development with Flask and Django
- Data Analysis with Pandas and NumPy
- Data Visualization with Matplotlib and Seaborn
- Automation with Python Scripts
- Machine Learning Basics with scikit-learn
- Ethical Hacking and Cybersecurity with Python
- Software Development with Tkinter and PyQt
- RESTful API Integration
- Python for Blockchain Development (Future Addition)
- Data Science and Big Data (Future Addition)
- Advanced Machine Learning with TensorFlow and PyTorch (Future Addition)
- Game Development with Pygame (Future Addition)
- IoT and Hardware Programming (Future Addition)
- Data Types, Variables, and Python Syntax
- Python Control Flow (Loops and Conditional Statements)
- Functions and Lambda Expressions
- Exception Handling and Debugging
- File Handling and Data Serialization (JSON, Pickle)
- Automation with Python Scripts
- Web Scraping with BeautifulSoup and Selenium
- Regular Expressions (Regex) for Pattern Matching
- Machine Learning Basics with scikit-learn
- Ethical Hacking and Cybersecurity with Python
- Software Development with Tkinter and PyQt
- Creating and Distributing Python Packages
- Working with Databases (SQL and SQLite)
- Python Networking Concepts and Sockets
- Generators, Iterators, and Decorators
- Advanced Data Structures (Heap, Queue, Deque)
- Multi-threading and Parallel Processing in Python
- Image Processing with OpenCV
- Audio and Video Processing with Python
- Complete SQLITE : From Zero To Hero
- PRACTICE PAPER WITH 100+ QUESTIONS
Requirements
- Basic Understanding of Programming Concepts: Learners should have a foundational knowledge of programming concepts such as variables, control structures (if statements, loops), and functions. Familiarity with any programming language will be beneficial.
- Python Installation: Students must have Python installed on their computers. Instructions for installation and setting up a coding environment will be provided during the course.
- Text Editor or IDE: Participants should have access to a text editor (like Visual Studio Code, Atom, or Sublime Text) or an Integrated Development Environment (IDE) such as PyCharm. These tools will be used for coding exercises and project development.
- Willingness to Learn: A positive attitude and eagerness to explore Python programming and project development are essential. This course is designed for both beginners and those with some experience, so a curiosity to learn will be the key to success.
Description
If there’s any topic or feature you can’t find, don’t worry! It’s either in progress or will be added in future updates. Stay tuned for continuous enhancements to make this the ultimate Python course for all learners!
Unlock the practical side of Python with our hands-on course, Applied Python: Building Projects with Python Programming! This course is designed to take you from Python basics to real-world project-building, making Python your go-to tool for problem-solving and innovation. Perfect for beginners and intermediate Python enthusiasts alike, this course introduces key programming concepts and applies them in practical projects across data analysis, web development, automation, and more.
You’ll learn how to:
- Build projects that solve real-world problems and gain hands-on experience.
- Implement Python in web scraping, data visualization, and automation.
- Design functional applications with a clear step-by-step approach.
- Explore powerful libraries such as Pandas, Flask, and BeautifulSoup.
By the end of this course, you’ll have the skills and confidence to take on your own Python projects and tackle new challenges independently. Whether you’re preparing for a career in tech, aiming to upskill, or simply exploring Python’s potential, this course will help you reach your goals.
Who is this course for?
- Aspiring Python developers wanting to enhance their skills through real projects.
- Students, data enthusiasts, and professionals looking to broaden their programming toolkit.
- Anyone with a basic understanding of Python aiming to transition from theory to hands-on applications.
Enroll today and embark on a journey that transforms your Python skills into real-world applications!
Who this course is for:
- Beginners: Individuals with no prior programming experience who want to start their journey with Python in a structured and easy-to-follow way.
- Intermediate Python Programmers: Learners who already know the basics but want to deepen their knowledge with advanced topics, real-world projects, and best practices.
- Aspiring Data Scientists and Analysts: Those looking to use Python for data manipulation, analysis, and visualization to gain insights or pursue a career in data science.
- Web Developers: Developers who want to master Python-based frameworks like Flask and Django for building robust web applications.
- Machine Learning and AI Enthusiasts: Individuals eager to learn machine learning and AI fundamentals with Python and start building projects in these domains.
- Cybersecurity Professionals: Anyone interested in using Python for ethical hacking, penetration testing, and cybersecurity tasks.
- Software Developers: Coders seeking to build desktop applications, APIs, and Python packages for software development projects.
- Automation Experts: Professionals looking to simplify repetitive tasks using Python scripting for automation.
- Students and Academics: Students aiming to enhance their coding skills for academic projects or research in Python.
- Career Switchers: Professionals looking to pivot to a career in tech or upgrade their skill set to include Python.
- Hobbyists and Tech Enthusiasts: Anyone passionate about technology who wants to explore Python for fun, experimentation, or creative projects.
- This course is for anyone who wants a one-stop solution for learning Python with lifetime access to updates and future topics.
