Master Python Programming: From Beginner to Expert

Python Programming

Python’s simplicity, readability, and adaptability have helped it grow in popularity over the years. It is widely utilized in many different industries, including robots, artificial intelligence, web development, and data analysis. Udemy offers a variety of courses to pick from if you’re a novice looking to learn Python. In this article, we are going to discuss the top 5 python programming courses on udemy which will help you to develop your skills from scratch and master your concept in a python programming language.

Top 5 Python Programming Courses on Udemy

1. Complete Python Bootcamp: Go from zero to hero in Python

Instructor : Jose Portilla

Duration: 25 hours

Ratings: 4.6/5 (457,236 ratings)

In this course, You’ll discover how to use Python’s capabilities to accomplish things along with that they’ll be teaching you both Python 2 and Python 3 and the concepts of Object Oriented Programming with classes that will help you to solve your own work problems or personal projects. After completing this course you’ll be able to build any games and programs that use Python libraries and also will understand how to use both the Jupyter Notebook and create .py files.

2. 100 Days of Code: The Complete Python Pro Bootcamp for 2024

Instructor: Dr. Angela Yu

Duration: 60 hours

Ratings: 4.7/5 (187,491 ratings)

With the help of this course, you can advance from a beginner to a skilled Python developer in just 100 days. It covers more complex topics including web development and game development as well as Python fundamentals like variables, functions, and loops. You ought to be proficient in Python development by the end of the course and be able to create your own Python programs.

3. PYTHON FOR DATA SCIENCE AND MACHINE LEARNING BOOTCAMP

Instructor : Jose Portilla

Duration: 25 hours

Ratings: 4.6/5 (128,684 ratings)

The course assumes no prior experience in Python or data science and is intended for both beginning and intermediate students. The course emphasizes practical application, and you’ll have many chances to put what you learn into practice through coding challenges and practical projects. You will gain knowledge of how to create and assess machine learning models, which is a crucial ability for anyone with an interest in data science and machine learning. Many crucial Python libraries, including NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, TensorFlow, and PySpark, which are utilized in data science and machine learning are covered in the course.

4. Learn Python Programming Masterclass

Instructor: Tim Buchalka, Jean-Paul Roberts

Duration: 72.5 hours

Ratings: 4.6/5 (97,748  ratings)

This course is taught by experienced professional software developers who’ll be clearing all your fundamental understanding of the Python programming language and will teach you the pre-requisite of Python expertise to enter specialized fields like Machine Learning and Data Science. They will be teaching you both python 2 and python 3. These professionals will prepare you for the essential skills and understanding required for Python programming jobs.

5. Complete Python Developer in 2024: Zero to Mastery

Instructor : Andrei Neagoie

Duration: 31 hours

Ratings: 4.7/5 (46,938 ratings)

The course is designed to take you from a complete beginner to a professional Python developer in 2024. The Python programming language’s fundamentals, including variables, data types, and functions, are covered in the first few lessons. Python object-oriented programming (OOP) techniques such as classes, objects, inheritance, and polymorphism will be covered. Most projects are also included in the course to help you apply what you have learned to real-world situations.

To summarize, Python is a versatile and powerful programming language that is widely used in a wide range of fields. Its popularity stems from its simplicity, ease of use, and extensive library support. Python learning can take anywhere from a few weeks to several months, depending on the level of expertise desired. Python is used in many industries and job roles, making it a valuable skill in today’s job market.

FAQ’S

What is Python?

Python is an interpreted, high-level programming language that is simple to read, write, and maintain. Guido van Rossum created it in 1991, and it is now widely used in a variety of fields including web development, data analysis, scientific computing, and artificial intelligence.

What is Python used for?

Python is a versatile programming language that can be used for a wide range of tasks. Web development, data analysis, scientific computing, machine learning, artificial intelligence, game development, and desktop applications are some of the most common Python applications.

Why is Python so popular?

Python’s popularity can be attributed in part to its simplicity and ease of use. Because the language is simple to read and write, it is a popular choice for beginners. Furthermore, Python has a large standard library that provides a diverse set of modules for a variety of purposes, making development faster and more efficient.

Python’s extensive support for scientific computing and data analysis is another reason for its popularity. Python has a number of libraries and frameworks, such as NumPy, SciPy, Pandas, and Matplotlib, that make complex calculations and visualizations simple.

How long does it take to learn Python?

Python learning time is influenced by a number of variables, including prior programming experience, desired level of knowledge, and learning resources. However, it might take a beginner with no prior programming experience several weeks to learn the fundamentals of Python and several months to master the language.

What types of jobs use Python?

Web development, scientific computing, artificial intelligence, data analysis, and software development are just a few of the industries and professions that use Python. Data scientists, software developers, machine learning engineers, web developers, and academic researchers are among the professions that specifically use Python.

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