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Python

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Python is one of the most popular and versatile programming languages in the world today. Known for its simplicity and readability, Python is used in a wide range of industries, from web development and data science to artificial intelligence and automation. Monkshala’s Python Programming Course is designed for both beginners and intermediate learners who want to master the fundamentals of Python, build applications, and develop problem-solving skills using this powerful language.

This course is perfect for aspiring developers, data scientists, software engineers, and anyone looking to enhance their programming expertise.

What You Will Learn

Introduction to Python Programming

  • Understanding Python and its applications.
  • Installing and setting up Python development environments (IDEs like PyCharm, Jupyter Notebook).
  • Writing your first Python program and understanding syntax.
  • Overview of Python data types: Strings, Integers, Floats, and Boolean.

Variables, Data Types, and Operators

  • Defining and using variables in Python.
  • Common data types and how to use them.
  • Operators in Python: Arithmetic, comparison, logical, assignment, and bitwise operators.
  • Type conversion and casting.

Control Structures and Loops

  • Conditional statements: if, else, elif.
  • Loops: for loops, while loops, and how to control loops with break and continue.
  • Working with nested loops.
  • Writing efficient loops and conditional statements to control program flow.

Functions and Modules

  • Defining functions in Python with def.
  • Arguments, parameters, and return values.
  • Using default parameters, keyword arguments, and variable-length arguments.
  • Creating and using modules for code organization.
  • The importance of code reusability.

Data Structures in Python

  • Lists, tuples, sets, and dictionaries: understanding their properties and when to use them.
  • Basic operations on these data structures (adding, removing, and accessing elements).
  • Iterating over data structures using loops.
  • Understanding list comprehensions and dictionary comprehensions.

File Handling

  • Opening, reading, and writing to files in Python.
  • File handling modes: read, write, append, and exclusive creation.
  • Working with text and binary files.
  • Exception handling when working with files.

Object-Oriented Programming (OOP) in Python

  • Introduction to classes and objects.
  • Understanding attributes and methods.
  • The four pillars of OOP: Encapsulation, Inheritance, Polymorphism, and Abstraction.
  • Working with constructors (__init__) and destructors.
  • Creating custom classes and using built-in class methods.

Error Handling and Exceptions

  • Introduction to errors and exceptions in Python.
  • Using try, except, else, and finally blocks.
  • Raising and handling custom exceptions.
  • Writing robust code with proper error handling techniques.

Working with Libraries and Packages

  • Installing and managing Python libraries using pip.
  • Introduction to commonly used Python libraries like NumPy, Pandas, Matplotlib, and Requests.
  • How to import and use libraries to extend the functionality of Python programs.
  • Building your own Python package and making it reusable.

Web Development with Python (Optional Module)

  • Introduction to web development using Python with frameworks like Flask or Django.
  • Setting up a Python web server.
  • Building simple web applications and APIs.
  • Connecting to databases and performing CRUD operations.
  • Deploying Python web applications.

Data Science and Machine Learning (Optional Module)

  • Introduction to data analysis and visualization using Pandas and Matplotlib.
  • Basic machine learning concepts with libraries like Scikit-learn.
  • Building simple predictive models using Python.

Python for Automation

  • Using Python scripts to automate repetitive tasks.
  • Web scraping with libraries like BeautifulSoup and Scrapy.
  • Working with APIs and automating data retrieval.
  • Using Python for automating file management, email sending, and data entry.

Testing and Debugging

  • Writing unit tests in Python using the unittest module.
  • Debugging techniques: using print, assert, and debugging tools.
  • Understanding and resolving common Python errors.

Final Project

  • Applying everything you’ve learned by working on a real-world project.
  • Developing a Python-based application or tool (based on your area of interest: web development, automation, data analysis).
  • Presenting your project and receiving feedback from instructors and peers.

Who Should Enroll

Beginners with no programming experience who want to learn Python from scratch.

Developers familiar with other programming languages who want to add Python to their skillset.

Data enthusiasts who want to explore data science and machine learning with Python.

Professionals looking to automate tasks using Python scripting.

Students preparing for technical job interviews requiring Python programming knowledge.

Why Choose Monkshala for Python Training

Monkshala’s Python Programming Course provides a comprehensive learning experience that covers both foundational concepts and advanced applications of Python. With a mix of theory, hands-on projects, and expert guidance, our course is designed to help you master Python programming quickly and efficiently. By the end of the course, you will be able to develop your own Python programs and build your confidence in solving real-world problems using Python.

Ready to start your journey in Python programming?

Inquire now
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