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For personal lessons and 1:1 live python tutoring, connect with our top online python tutor by clicking the chat box in the right-hand corner. It goes without saying that Python is one of the critical subjects for web development and machine learning. But, it can sometimes get difficult for them to understand the subject on their own. That’s the reason they look for online python tutors. With our qualified python tutors, students can learn the intricacies of the subject with 1:1 live python tutoring. With easy accessibility and 24/7 availability, students can easily get their doubts clarified. We help you learn the concepts and carve a solid foundation for your career. Our tutors boast extensive knowledge, thereby clarifying your doubts and improving your knowledge.

What is Python Programming?

Python is an object-oriented programming language designed by Guido Van Rossum. It is programmer-friendly and easy to code and comprehend. It does not require any compiler to run its code, it requires an interpreter which can execute its code line by line. Python supports modules and packages, which encourages program modularity and code reuse. It has a simple-to-write syntax similar to the English language. Python works on every platform (windows, Linux, mac, etc.)

Python has various uses for performing large mathematics, web applications, software development, and data analysis. It has its framework like flask and Django to make complete applications. Python is an open-source language that enables it to get updated frequently with the addition of new features in every version and anyone across the world can design new functionalities and contribute in python development.

Importance of Python in 2024

Learning Python is a valuable skill for anyone interested in a career in the tech industry. According to the 2023 Stack Overflow Developer Survey, Python was the third most popular programming language, with 49.28% of respondents stating that they use it. It is also the most in-demand programming language according to data from Indeed, with job postings for Python skills growing by over 4% year-over-year. In addition, Python developers earn some of the highest salaries in the tech industry, with an average base pay of $1,25,901 per year according to Glassdoor. These statistics demonstrate the importance and value of learning Python for those looking to enter or advance in the tech field.

Key Python Programming Topics

There are many topics to study while learning python programming. Most of the students need python tutoring in understanding the difference between the following terms:

1. Data types: They help us to define the type of a variable. In python generally, we have 3 types of datatypes - primitive, derived, and user-defined data type. Some of the built-in data types include datatypes like integers, floating-point numbers, strings, and Booleans. You will learn how to use these data types efficiently while making your programs.
2. Variables: A variable is a reserved memory location to store values or a name given to a memory location. There are different operations we can perform on a variable like declaring the variable, assigning a value to a variable, and manipulating the data which you will learn as the core of python. 
3. Typecasting: It is a term we use to define the method of changing the datatype of any variable as per user need to perform a specific operation by using some in-built python functions like int(), float(), etc.
4. Functions: A function is a block of organized, reusable code that is used to perform a single, related action again and again. It helps in time-saving and also to make efficient code.
5. Recursion: Python has a recursive function which means a function calls itself repeatedly, either directly or indirectly. It is similar to looping out the variable to get the desired result. The best example of recursion is calculating the factorial of an integer. You will learn how to use recursion to solve dynamic problems and create efficient algorithms.
6. Operators: The symbols that trigger the operation or action are called operators. The operations are represented by operators and the objects of the operation are referred to as operands. We use operators to perform calculations and make decisions in your programs. There are different types of operators in python that you will learn. 
7. Exception handling: It is a method of handling errors and exceptions that occur during the execution of your code. To avoid crashing your code when the error occurs we enable you to try and except block to complete the execution of code without interruption. This is very useful in managing large codes.
8. Modules: These are special python files containing Python user-defined functions that can be imported into other programs. You will learn how to use modules to organize logically and split your large code into smaller ones to reuse by importing them as a python library.
9. Control structures: Control structures are conditional statements, such as if statements and for-while loops, which allow you to control the flow of your python programs. We have 3 types of control structures - Sequential, Selection, and Repetition.
10. Object-oriented programming: Python is an object-oriented language designed by Guido Van Rossum in the 1990s, which means that it follows an object-oriented programming multi-paradigm that uses objects and classes. You will learn how to define classes and create objects, and how to use inheritance in python and polymorphism to create reusable and flexible code.

Benefits of Python Programming

It is always a question for any beginner “Why to choose python language over any other programming language?”. Well, here are some of the benefits python programming offers:

1. Free and Open Source: Python is an open-source language that makes it distributed and free to use. Hence, you can download the python compiler from its official website depending on the OS you use, and there you go, start compiling your code.
2. Interpreted Language: Most important advantage of python programming is its interpreted language. This means that the python compiler executed the code line by line and stops the compilation when the error is encountered.
3. Easy to Read and Write: Python is a high-level programing language with easy-to-understand syntax. As python is easy to pick up and learn, very less time is needed to code and perform the task compared to other major languages like C/C++.
4. Vast Library Support: Python supports a large collection of libraries and modules which can help you finish your task very efficiently. Hence, you don’t need any external library dependency as python consists of 200,000 packages.
5. Portability: Many programming languages, such as C/C++, need you to rewrite your code in order to run the application on other platforms. Python is not the same as that. You simply need to write it once and then run it wherever.
6. Dynamic in Nature: Python does not know the type of variable until the code is executed. During execution, it allocates the data type automatically. The programmer is not required to declare variables or their data types.
7. Increase Productivity: Because Python is so simple, developers can concentrate on fixing the problem. They don't have to spend a lot of time learning the syntax or behavior of the programming language. You write less code and accomplish more.

How Much Time it will take to Learn Python?

This is a little tricky question, and It mainly depends on an Individual. If python is your first programming language to learn then it may take up to six weeks to learn and understand and learn all basic concepts. Whereas, if you have worked on any language like Java/C++ earlier it will be easy for you to grab the concepts of python. Python is a very vast language and if you wish to learn everything about it like data science, and machine learning then you have to learn it in a flow of 3-4 months. If you're looking for a structured approach to learning Python, you might find our 6-week roadmap helpful. It covers all the essential concepts and techniques you need to know to get started as a Python developer.