Learn to code and advance your career in 2022 with Python. You might know it as the “go-to” programming language for artificial intelligence, machine learning, and natural language processing. In other words, this is the programming language you need to know if you want to stay ahead in the technology world. Becoming a Python coder will giv0e you skills that are in high demand and growing faster than most other types of jobs. The job market for software engineers who know Python has grown tremendously over the past decade. The average salary for a Python programmer hovers around $100,000 per year, but once again that number varies based on location and experience level. c
What is Python?
Python is a general-purpose programming language that’s used in a variety of professions and industries. Since it can be applied to so many different tasks and settings, it’s often a programmer’s “go-to” language. It has a low barrier to entry, making it easy to learn and widely accessible to beginners, yet powerful enough to solve complex problems and meet the demands of experienced programmers.
Python is particularly useful in software engineering, scientific disciplines, and web development. In fact, Python is one of the most versatile programming languages in the world. It’s easy to read and understand, yet scalable enough to solve complex problems on a professional level. It’s also open source, meaning that it’s free for anyone to use, modify, and distribute as they see fit. And with the ever-growing community of Python users, you’ll never run out of resources and tools to help you along the way.
Why learn Python?
Python is a general-purpose programming language that’s used in a variety of professions and industries. Since it can be applied to so many different tasks and settings, it’s often a programmer’s “go-to” language. It has a low barrier to entry, making it easy to learn and widely accessible to beginners, yet powerful enough to solve complex problems and meet the demands of experienced programmers. Since it’s so general-purpose, it can be applied to many different types of industries.
This also means it has a wide variety of possible job opportunities, giving you a lot of flexibility in your career path. Compared to other programming languages, Python has a relatively low barrier to entry and a high skill ceiling. This means it’s easy to learn and understand at a basic level, yet scalable enough to solve complex problems on a professional level. This makes it an ideal choice for any aspiring programmer who wants to dive into the field, but doesn’t know where to begin.
Race Description
This race is between two programmers who are both proficient in Python programming language. The race starts at the beginning of the Python journey, allowing students to learn the language from scratch with the help of this course. Students will explore different aspects of the Python language and how to apply it to real-world situations. All you need to do is choose the right partner and get started!
Module 1: Install and Test Python in Your Computer
The first module of the course will help you install Python and test its functionality in your computer. You will also get to know the fundamental concepts of programming with Python such as data types, variables, and functions. By the end of this module, you will be able to write your first piece of code in Python, and you’ll understand the basics of programming with this language. You’ll learn to write simple functions, logical branching, and understand different data types. This module is essential as it lays the foundation for the rest of the course.
Module 2: Basics of Python Language
This module helps you learn how to write beautiful and legible code with Python. You will also get to understand the different types of errors that occur during coding. At the end of this module, you will be able to write better and more efficient code. You’ll learn how to write code that is easily readable and organized. You’ll also understand how to debug errors and write robust code that is less prone to errors. You’ll learn how to use best practices and write better Python code.
Module 3: Conditional Statements, Loops and Conditions
This module will help you understand the basics of conditional statements. You’ll get to know how to use data types like integers and floating-point numbers efficiently. You’ll also learn the significance of Boolean logic and its applications. You’ll learn the basics of loops and how to use them to optimize your code for better performance. You’ll also understand the concept of pre-defined functions and how to use them. You’ll also get to practice all these concepts in Python code.
Module 4: Objects, Functions and Importing
The fourth module will help you understand the concept of objects and modules in Python. You’ll also get to know how to use functions as modules and vice versa. At the end of this module, you’ll learn to import and use Python libraries. You’ll also get to understand the significance of variables and their values. You’ll learn how to use Python’s variables in your code and create custom variables. You’ll also learn how to use Python’s built-in functions and apply them in your code.
Module 5: Defining Classes and Object-Oriented Programming
This module will help you understand the concept of object-oriented programming. You’ll also learn how to use classes in Python and create your own objects. At the end of this module, you’ll be able to use classes in Python to solve real-life problems. You’ll get to understand the significance of classes and how to implement them in Python. You’ll learn how to create and manage objects using classes. You’ll also learn how to apply these concepts in real-life scenarios.
Module 6: Conclusion
Congratulations! You’ve reached the end of this Python course. You’ve learned to write beautiful and robust code in Python. You’ve transformed from a beginner Python programmer to a professional coder. This course has been a comprehensive guide to mastering the Python language. You’ve learned all the essential concepts of this language and how to apply them in real-life scenarios. You’ve defeated the obstacle of learning Python and have come out of it as a stronger programmer.