Python Programming

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About Course

Master the Language of the Future!

Python is one of the most popular and versatile programming languages in the world, known for its simplicity, readability, and powerful libraries that make it the go-to choice for a wide range of applications. Whether you are a beginner looking to start your programming journey or an experienced developer aiming to expand your skills, this course will guide you through everything you need to become proficient in Python.

Our comprehensive Python course covers both the foundational aspects of the language as well as advanced topics, ensuring that you gain the knowledge and practical experience necessary to build real-world applications. This course is designed to be highly practical, with hands-on coding exercises, projects, and case studies that will give you the skills to solve complex programming challenges.

Course Objectives: By the end of this course, you will:

    • Master the core concepts of Python programming.
    • Understand and apply advanced programming techniques.
    • Be able to manipulate data structures, work with libraries, and automate tasks.
    • Build Python-based projects, including data analysis, web scraping, and more.
    • Prepare for roles in fields like web development, data science, automation, AI, and more.

Who should enroll: Beginners, aspiring developers, data scientists, and software engineers.

Why take this course: Python is widely used in web development, data science, AI, and automation. Mastering it opens up multiple career opportunities.

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What Will You Learn?

  • Python Basics:
  • Introduction to Python: History, features, and installation.
  • Python syntax and structure: Variables, data types, operators, and expressions.
  • Control structures: Conditional statements (if, elif, else), loops (for, while).
  • Functions: Creating and using functions, return values, and function arguments.
  • Modules and packages: Importing and using pre-built modules and creating your own.
  • Data Structures and Algorithms:
  • Lists, tuples, sets, and dictionaries: Their usage, differences, and methods.
  • List comprehensions and generator expressions.
  • Sorting, searching, and manipulating data.
  • File handling: Reading from and writing to files, CSV file manipulation.
  • Object-Oriented Programming (OOP) in Python:
  • Classes and objects: Defining and working with classes and objects.
  • Encapsulation, inheritance, and polymorphism.
  • Overriding methods, operator overloading, and constructor/destructor concepts.
  • Advanced OOP concepts and design patterns.
  • Error Handling and Debugging:
  • Exception handling: Try, except, finally, and raising exceptions.
  • Debugging Python code using built-in tools.
  • Logging errors and using assertions to catch bugs.
  • Working with Libraries and Frameworks:
  • Introduction to Python libraries: NumPy, Pandas, and Matplotlib for data analysis and visualization.
  • Web scraping with BeautifulSoup and Requests.
  • Regular expressions for pattern matching.
  • Automating tasks with Python scripts.
  • Data Visualization and Web Development:
  • Creating data visualizations with Matplotlib and Seaborn.
  • Introduction to Flask/Django for web development.
  • Building and deploying basic web applications using Python.
  • Advanced Python Concepts:
  • Iterators, generators, and decorators.
  • Context managers and working with files.
  • Multithreading and multiprocessing for parallel execution.
  • Understanding Python's memory management and optimization techniques.
  • Final Projects:
  • Capstone projects where you will apply all the concepts learned.
  • Real-world case studies, such as building a web scraper, a data visualization dashboard, or an automation tool.
  • Peer review and feedback on projects from instructors and peers.

Course Content

Introduction to Python
This introductory lesson covers the history of Python, its key features, and installation. Students will also learn to write their first Python program and explore Python's simple syntax and structure.

  • What is Python?

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