Beginners Guide To Python

Introduction to Python Programming language :-

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Python is developed by Guido van Rossum. Guido van Rossum started implementing Python in 1989. Python is a very simple programming language so even if you are new to programming, you can learn python without facing any issues.

Python is also well known for its high versatility as it can support multiple systems and platforms.

It’s relatively a simple programming language to learn and utilize because the code is clean and ready to comprehend. So it’s not surprising that most programmers are familiar with it!!

Features of Python programming language :-

1. Readable: Python is a very readable language.

2. Easy to Learn: Learning python is easy as this is a expressive and high level programming language, which means it is easy to understand the language and thus easy to learn.

3. Cross platform: Python is available and can run on various operating systems such as Mac, Windows, Linux, Unix etc. This makes it a cross platform and portable language.

4. Open Source: Python is a open source programming language.

5. Large standard library: Python comes with a large standard library that has some handy codes and functions which we can use while writing code in Python.

6. Free: Python is free to download and use. This means you can download it for free and use it in your application. See: Open Source Python License

7. Supports exception handling: If you are new, you may wonder what is an exception? An exception is an event that can occur during program exception and can disrupt the normal flow of program. Python supports exception handling which means we can write less error prone code and can test various scenarios that can cause an exception later on.

8. Advanced features: Supports generators and list comprehensions. We will cover these features later.

9. Automatic memory management: Python supports automatic memory management which means the memory is cleared and freed automatically. You do notnhave to bother clearing the memory.

Why should you learn Python?

Since it’s early days as a utility language, Python has grown to become a major force in Artificial Intelligence (AI), Machine Learning (ML) and big Data and analytics.

So if you learn Python it can open a lot of doors for you and improve your career opportunities!!

For Aspiring candidates and Data scientists, the Python Programming Language is probably the most important language to study because of its rich ecosystem. Python has its major advantage of its breath. Generally Python is much better for processing the Data.

Python is also great for backend web development, Data analysis and scientific Computing.

It also pays to become a Python developer. According to Glassdoor, Python developers command an average salary of $92,000 a year. Those with significant coding experience can earn as much as $137,000 , annually.

What’s (Jupyter/iPython) notebook?

Jupyter (formerly known as iPython) Notebook is an interactive programming environment that she’s for coding, days exploration, and debugging in the web browser. The Jupyter Notebook can be accessed via a web browser, is an incredibly powerful Python shell that’s ubiquitous across PyData.

It will allow you to mix codes, graphics (even interactive ones) and texts. You can even say that it works like a content management system as you can also write a blog post such as this one with a Jupyter Notebook!!

Overview of Python’s Libraries:-

There are plenty of active Data science and ML Libraries that can be leveraged for Data science.

Below are some of the leading Python Libraries in the field:-

1.MATPLOTLIB

2.NUMPY

3.SCIPY

4. PANDAS

5.PYTORCH

6.SEABORN

7.SCIKIT-LEARN

8.PYSPARK

9.TENSORFLOW

Lastly, Please leave a comment below!!

I’ll be posting such interesting yet important stuff, so stay tuned!!😊