Python programming language has become one of the most in-demand skills in the job market, making it a wise investment to learn. The Python Programming - Multithreading, OOP, NumPy and Pandas course covers all the essential topics in Python programming, including multithreading, parallel processing, OOP, NumPy, Matplotlib, and Pandas.
Basics of Python
The course starts with the basics of Python programming. It teaches you how to install Python and the integrated development environment. It also covers basic operations, conditional statements, loops, and data structures. This module contains everything you need to know to get started with Python programming.
By the end of this module, you will be able to write Python code to solve simple problems. You will also understand the Python syntax and semantics. The course builds upon the topics covered in this module to explore more advanced areas of Python programming.
Object-Oriented Programming
One of the most challenging aspects of learning Python programming is object-oriented programming (OOP). OOP is an essential paradigm in programming that allows you to develop complex applications more efficiently by modeling real-world objects as software objects.
The Python Programming - Multithreading, OOP, NumPy and Pandas course covers everything you need to know about OOP. You will learn about classes, objects, constructors, inheritance, and polymorphism. You will also gain hands-on experience creating OOP applications in Python.
Multithreading and Concurrent Programming
In Python programming, multithreading allows you to execute two or more parts of a program concurrently. Concurrent programming, on the other hand, refers to the development of applications that can carry out multiple tasks simultaneously. This module provides an in-depth look at multithreading and concurrent programming using Python.
You will learn how to create threads, synchronize access to shared data, and handle thread-related issues such as deadlocks and livelocks. You will also get to know how to perform inter-thread communication. By the end of this module, you will be able to write multithreaded Python programs that can execute complex tasks efficiently.
NumPy, Matplotlib, and Pandas
Numeric Python (NumPy) is a Python package that is used to work with arrays and arrays of data. It allows you to perform various mathematical and logical operations on arrays. Matplotlib, on the other hand, is a Python library that enables you to create data visualizations such as graphs, charts, and plots. Pandas is a popular Python package used for data manipulation and analysis.
The Python Programming - Multithreading, OOP, NumPy and Pandas course covers these packages in detail. You will learn how to use NumPy to work with arrays, how to create plots using Matplotlib, and how to manipulate data using Pandas. You will also learn how to handle data from databases and understand SQL statements in Python.
Course Rating and Reviews
The Python Programming - Multithreading, OOP, NumPy and Pandas course has a rating aggregate of 4.4627, indicating that it is a high-quality course. It has received 333 reviews from students who have enrolled in it.
The course has received positive feedback from students. They appreciated the comprehensive coverage of Python programming topics, the hands-on exercises, and the practical approach to learning. They also found the instructor to be engaging, knowledgeable, and responsive to their questions.
If you're looking to acquire skills in Python programming, the Python Programming - Multithreading, OOP, NumPy and Pandas course is an excellent place to start. With its comprehensive coverage of Python topics, hands-on exercises, and practical approach to learning, you can be sure to acquire the necessary skills to succeed in this field.
