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Python Programming TRENDING

Python is a high-level, interpreted programming language known for its simplicity and readability, making it an excellent choice for both beginners and experienced programmers. Created by Guido van Rossum and first released in 1991, Python emphasizes code readability and allows developers to express concepts in fewer lines of code compared to languages like C++ or Java.

Features:

  • Easy to Read and Write: Python's syntax is clean and straightforward, resembling natural language, which makes it easy to learn and use.
  • Interpreted Language: Python is executed line by line at runtime, allowing for quick testing and debugging.
  • Dynamically Typed: Variable types are determined at runtime, adding flexibility to the code.
  • Extensive Standard Library: Python comes with a vast standard library that supports many common programming tasks, such as file I/O, system calls, and internet protocols.
  • Cross-Platform: Python runs on various platforms, including Windows, MacOS, and Linux.
  • Open Source: Python is free and open-source, with a large community contributing to its growth and improvement.
  • Support for Multiple Paradigms: It supports procedural, object-oriented, and functional programming styles.
  • Large Ecosystem: Rich ecosystems of frameworks and libraries for web development (Django, Flask), data analysis (Pandas, NumPy), machine learning (TensorFlow, PyTorch), and more.

Benefits:

  • Rapid Development: Python’s simplicity and readability speed up development, reducing the time it takes to write and maintain code.
  • Ease of Learning: Python’s clear syntax and gentle learning curve make it accessible to beginners.
  • Community Support: A large and active community offers extensive support and a wealth of resources, including tutorials, documentation, and third-party modules.
  • Versatility: Python’s flexibility allows it to be used in various domains, from web development and data analysis to scientific computing and artificial intelligence.
  • Integration Capabilities: Python can easily integrate with other languages and technologies, making it a versatile tool in any tech stack.

Uses:

  • Web Development: Frameworks like Django and Flask allow developers to build robust and scalable web applications.
  • Data Analysis and Visualization: Libraries such as Pandas, NumPy, and Matplotlib enable powerful data manipulation and visualization capabilities.
  • Machine Learning and AI: Tools like TensorFlow, Keras, and PyTorch make Python a popular choice for developing machine learning models and AI applications.
  • Automation and Scripting: Python is widely used for automating repetitive tasks and writing scripts to manage systems and applications.
  • Scientific Computing: Libraries like SciPy and SymPy support complex scientific calculations and simulations.
  • Game Development: Frameworks such as Pygame allow developers to create games and multimedia applications.
  • Embedded Systems: Python can be used in embedded systems and IoT projects through microcontrollers like the Raspberry Pi.

Python's combination of simplicity, readability, and powerful libraries makes it a versatile and widely-used programming language, suitable for a diverse range of applications.

Price NRP. 15K+

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Available
  • Category Programming
  • Language English, Nepali
  • Video Available
  • Duration 40 Hours
  • Includes Theory+Practical

Course Highlights

40 Hours

Beginner Level

Learning Python for beginners involves grasping the fundamentals of programming through an accessible and powerful language. Python's straightforward syntax and readability make it an excellent choice for newcomers. Starting with basic concepts like variables, data types, and control flow, beginners can quickly progress to more complex topics such as functions, data structures, and object-oriented programming. Python's extensive standard library and supportive community provide numerous resources for further learning and practical application. By the end of an introductory course, learners can create scripts to automate tasks, analyze data, and even develop simple applications, setting a solid foundation for advanced programming endeavors.
Course Syllabus:

Python Programming Beginner Level's Syllabus

BY: ELITE InfoTech
4 Hours PyCharm
Get started with Python basics. Activities: Install Python and an IDE (like PyCharm or VSCode). Write your first "Hello, World!" program.
BY: ELITE InfoTech
2 Hours PyCharm
Learn how to control the flow of your program. Activities: Write programs that use conditionals and loops to solve simple problems, like a number guessing game.
BY: ELITE InfoTech
2 Hours PyCharm
Master creating and using functions. Activities: Create functions to perform specific tasks, like calculating the factorial of a number.
BY: ELITE InfoTech
2 Hours PyCharm
Explore Python’s built-in data structures. Activities: Implement small programs that manipulate these data structures, such as a phone book or shopping list.
BY: ELITE InfoTech
2 Hours PyCharm
Learn to read from and write to files. Activities: Create a program that reads from a text file and writes the processed data to another file.
BY: ELITE InfoTech
2 Hours PyCharm
Write robust code with error handling. Activities: Develop a calculator that handles incorrect input gracefully.
BY: ELITE InfoTech
2 Hours PyCharm
Understand the basics of OOP in Python. Activities: Create simple classes and objects, such as a Car class with attributes and methods.
BY: ELITE InfoTech
2 Hours PyCharm
Use popular Python libraries to enhance functionality. Activities: Write programs that perform data analysis and visualization using these libraries.
BY: ELITE InfoTech
2 Hours PyCharm
Explore more advanced aspects of Python. Activities: Implement these advanced features in small programs to understand their benefits.
BY: ELITE InfoTech
18 Hours PyCharm
Apply all you’ve learned in a comprehensive project. Activities: Plan, design, and code your project, ensuring you incorporate all the key concepts learned.
Programming

Course At A Glance

Python was created by Guido van Rossum in the late 1980s. Van Rossum, a Dutch programmer, began working on Python during his Christmas break in 1989 while at Centrum Wiskunde & Informatica (CWI) in the Netherlands. He aimed to create a language that was both easy to read and write, drawing inspiration from the ABC language and other languages like Modula-3, C, and Unix shell scripting.

Python 1.0 was released in 1994, introducing features like classes with inheritance, exception handling, and functions. Over the years, Python evolved significantly, with major releases including Python 2.0 in 2000, which added a garbage collector and support for Unicode, and Python 3.0 in 2008, which was a major, backward-incompatible release.

Python's popularity has grown immensely, thanks to its simplicity, readability, and extensive libraries. Today, it's widely used in web development, data analysis, scientific computing, artificial intelligence, and more.