Hi, I was changing my career to the tech industry. Then I tried to learn programming or coding. The first barrier for me. Which programming language should I know first?
Guys, today I will tell us why I should choose python as my first programming language.
First, I should consider the following factors
What is interesting to me? or What will I become in the future?
The job market for that language.
How easy the language is to learn.
How long does it take to master it?
These are the factors I would follow to pick the Python language.
The tech industry has a wide variety of job roles and respective knowledge.
So I would decide to become a data scientist or Machine learning Engineer.
Then I researched what are programming languages used in that(data scientist) domain.
There are Python, R, SQL, Julia, Javascript, etc. Then I analyzed which was mostly used in that domain.
Python programming language is mostly used in the data science domain.
According to a Kaggle survey, Python was about 96% responded(user), SQL 60% responded, and R 28% responded.
Python is the most popular programming language in the data science domain.
What is python?
Python is a high-level, interpreted, general-purpose programming language. It is widely used for developing web applications, data analysis, artificial intelligence, and scientific computing.
Python is known for its simplicity and readability, making it a popular choice for beginners and experienced programmers alike.
It also has a large and active community, with a wealth of libraries and frameworks that make it easy to build powerful and complex applications.
Some of its key features include:
Simple and readable syntax: Python's syntax is designed to be easy to read and understand, making it a good language for beginners.
Dynamically-typed: Python is a dynamically-typed language, which means that you don't need to specify the type of a variable when you declare it. This can make your code more flexible and concise.
Large standard library: Python comes with a large and comprehensive standard library, which includes modules for a wide variety of tasks such as data manipulation, scientific computing, and web development.
Interactive interpreter: Python has an interactive interpreter, which allows you to try out code snippets and see the results immediately. This is a useful tool for experimenting and learning the language.
Object-oriented programming: Python supports object-oriented programming, which is a popular programming paradigm that allows you to organize your code into reusable objects.
Extensible and embeddable: Python can be extended with C or C++, and it can also be used as an embedded language within other applications.
Open-source and community-driven: Python is an open-source language, which means that the source code is freely available and can be modified and distributed by anyone. It also has a large and active community of users and developers.
How python is an easy language compared to other languages.
Python is simple syntax. It's similar to the English language and low code.
For example,
print('Hello, World!') # simple print a line
compare javascript,
console.log('Hello, World!'); //this is javascript syntax
Python is a simple and small rule programming language compared to other languages.
How to be a master in Python?
To be a master of python, you will need to have a strong foundation in the language, including knowledge of its syntax, data types, and core libraries. In addition to this, you can follow these steps to improve your skills and become a proficient Python programmer:
Practice, practice, practice: The best way to master Python is to practice using it regularly. This will help you become familiar with the syntax and features of the language, and develop your problem-solving and coding skills.
Build real-world projects: To gain experience and improve your skills, try building real-world projects using Python. This could be a simple web app, a data analysis tool, or a machine learning model. This will help you apply your knowledge and learn new skills in a practical setting.
Explore the Python ecosystem: Python has a large and active community, with a wealth of libraries and frameworks available for a wide range of tasks. Explore these resources and learn how to use them to solve real-world problems and build powerful applications.
Stay up to date with industry trends: The field of programming and data science is constantly evolving, with new tools and techniques being developed all the time. To be a master of Python, you will need to stay up to date with the latest developments in the field and continue learning new skills and technologies.
Join the Python community: Join online forums, attend conferences and meetups, and participate in open-source projects to connect with other Python developers and learn from their experiences. This will help you learn from others and share your own knowledge and insights.