Most wanted skill-set in 2023
What is Python?
Python is a general-purpose language with a very small learning curve. With the rise of the thunderous field of Data Science, Python is in the spotlight. It is one of the most sought-after skills by employers and one of the most widely used languages too. Not just Data Science, you can use python for scripting, testing, web development and much more.
What you will learn in the course?
This course will introduce you to the fundamental concepts of Python programming. During the first portion of the class, we will cover the basics of programming and utilize these skills to create interactive games. As the course progresses, we will delve into more advanced topics such as file handling and object-oriented programming. By the end of the course, you will have the opportunity to apply your newfound knowledge through various hands-on projects. Through this course, you will learn how to use Python to solve real-world problems and build useful programs.
Introduction: This section will provide an overview of the Python programming language and its uses. It will cover the basic syntax and structure of the language, as well as its strengths and weaknesses.
Expressions: In this section, you will learn about the basic building blocks of Python, including variables, operators, and expressions. You will learn how to create and manipulate data types such as numbers, strings, and booleans.
Flow Control: This section will cover the control structures of Python, including if/else statements and for/while loops. You will learn how to control the flow of your program using conditional statements and how to repeat actions using loops.
Loops: This section will delve deeper into looping constructs in Python. You will learn how to use the while and for loops to iterate over collections of data and perform repetitive tasks.
Functions: This section will cover how to create and use functions in Python. You will learn how to define functions, pass arguments, and return values. You will also learn about common built-in functions and how to create your own.
List, tuples, dictionaries and sets: This section will cover the different data structures in Python, including lists, tuples, dictionaries, and sets. You will learn how to create, manipulate, and traverse these data structures to organize and store data.
Exception Handling: This section will cover how to handle errors and exceptions in Python. You will learn how to use try/except statements to catch errors, and how to raise and handle custom exceptions.
Strings and Regex: This section will cover string manipulation and regular expressions in Python. You will learn how to work with strings, perform string formatting, and use regular expressions to match and extract data from strings.
Files: This section will cover how to work with files in Python. You will learn how to read and write text and binary files, and how to use the file system to manipulate files and directories.
Object-Oriented Programming (OOPs): This section will cover the basics of object-oriented programming in Python. You will learn about classes, objects, and inheritance, and how to use these concepts to create reusable and maintainable code.
In addition to the hands-on experience gained through the real-world projects, students will also have the opportunity to build a portfolio of their work. By the end of the course, you will have a collection of completed projects that demonstrate your proficiency in Python programming and your ability to solve real-world problems. This portfolio will be an excellent tool for showcasing your skills to potential employers and can serve as an important aspect of your job search. It will also help to create job opportunities for you as the potential employers will be able to see your ability to work on real-world projects and your problem solving skills, making you a valuable asset to any organization looking to hire Python developers.
By the course end . . .
By the end of this course, you will have a solid understanding of Python programming and the ability to confidently apply your newfound skills. You will have a good grasp of programming constructs such as loops, conditions, and objects. This will allow you to start developing basic projects using Python and lay the foundation for diving into data science. Your newfound confidence in your abilities will set you up for success in further programming endeavors.