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Python

4.7
Beginner
60 Days

About Python

Python is a high-level, interpreted programming language that is versatile, easy to learn, and widely used across different industries. It has a vast range of applications in data science, machine learning, web development, and automation. Python’s syntax is simple and easy to read, making it an ideal language for beginners. It is also free and open-source, with a large and supportive community that contributes to its development. By learning Python, students can acquire valuable skills that can help them excel in their careers and solve real-world problems.

Careers

Python is a versatile and popular programming language that is in high demand across various industries. Students who complete a Python course can pursue numerous career paths. They can work as data analysts, software developers, web developers, game developers, data scientists, machine learning engineers, and more. Python’s popularity and versatility make it a valuable skill to have in today’s job market, with many companies seeking professionals with expertise in Python programming.

Python is used in a wide range of industries, from finance and healthcare to technology and entertainment. Therefore, Python experts can find job opportunities in almost any field. Some of the popular job titles for Python professionals include Python Developer, Data Analyst, Machine Learning Engineer, Software Developer, Full Stack Developer, and DevOps Engineer. Many companies offer attractive salary packages and benefits to Python professionals due to the high demand for this skill.

Job Oppurtunities

What You will Learn

  • Introduction to Python: In this section, you will learn about Python and its importance for businesses and industries. You will understand the various applications of Python in data analysis, web development, artificial intelligence, and other fields. You will also learn how to install Python on your computer and explore its features.

  • Programming Fundamentals: In this section, you will learn the basics of programming with Python. You will understand concepts such as variables, data types, operators, and control structures. You will also learn how to write and execute Python programs using an IDE (Integrated Development Environment).

  • Data Manipulation and Analysis: In this section, you will learn how to use Python for data manipulation and analysis. You will understand how to import and export data in different formats such as CSV, Excel, and JSON. You will also learn how to use Python libraries such as NumPy, Pandas, and Matplotlib for data cleaning, transformation, and visualization.

  • Web Development: In this section, you will learn how to use Python for web development. You will understand how to create web applications using frameworks such as Flask and Django. You will also learn how to use HTML, CSS, and JavaScript to create dynamic web pages.

  • Artificial Intelligence and Machine Learning: In this section, you will learn how to use Python for artificial intelligence and machine learning. You will understand concepts such as supervised learning, unsupervised learning, and deep learning. You will also learn how to use Python libraries such as Scikit-learn, TensorFlow, and Keras for machine learning applications.

  • Automation and Scripting: In this section, you will learn how to use Python for automation and scripting tasks. You will understand how to write Python scripts to automate repetitive tasks such as file handling, web scraping, and data entry. You will also learn how to use Python libraries such as Selenium and Beautiful Soup for web automation tasks.

  • Real-World Examples: In this section, you will analyze real-world examples of successful Python implementations and understand the benefits it brings to businesses. You will learn how to apply Python to solve real-world business problems and how to create programs and scripts that provide valuable insights and automation.