Python: The Beginning

The Journey From Python to Machine Learning (The Beginning)

Do you know? Python is an experiment in how much freedom programmers need. Too much freedom and nobody can read another’s code; too little and expressiveness is endangered.

I am so excited about making a blog tutorial on “The journey From Python to Machine Learning.” I hope you are also keenly interested in learning Python. Be fearless in trying new things, whether they are physical, mental, or emotional since being afraid can challenge you to go to the next level.

So let’s start our journey by understanding 3 major questions “What, Why, Scopes in future” that usually come to our mind before starting learning new things.

1. What is Python?

According to Wikipedia.

Python is an interpreted, dynamically typed, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991.

Interpreted: A programming language that executes instructions directly without previously compiling a program into machine-language instructions.

Dynamically Typed: Python parser automatically identifies the type of the variable based on what kind of data you have assigned to the variable.

General-Purpose: A language designed to use for writing software in various application domains being restricted to a particular domain.

Example: Python is used for web development, data analysis, software development as well as game development.

High-level: A programming language that uses natural language elements and automates significant areas of computing such as memory allocations.

For better understanding please go through the video given below.

2. Why learn Python?

There are plenty of reasons to learn Python. The 10 major reasons to learn Python:

1. Open Source: Python is an open-source language available for the public uses free.
2. Less Code: It requires less code than other programming languages like C, C++, Java, etc.
3. Easy to learn: It is easy to understand and so to learn because it uses normal language in its syntax.
4. External Libraries: Python has a lot of external libraries for different purposes. Python has a large developer community that is developing and updating libraries regularly for a better experience.
5. Scripting & Automation: Many people only know that Python is a programming language, but Python can also be used as a Scripting language. You can also use python for automation, you can automate certain tasks in a program.
6. Highly Portable & Extensible: The portable and extensible properties of Python allow you to perform cross-language operations seamlessly. Python is supported by most platforms present today ranging from Windows to Linux to Macintosh, Play station, etc.
7. Testing Frameworks: Python has many built-in testing frameworks that cover debugging & fastest workflows. There are a lot of tools and modules available in Python for testing. Such as PyTest and Robot framework, etc.
8. Used in Big Data: Nowadays almost every industry is heading towards data analysis and Big Data to make their stands stronger among their competitors. Python is the most preferred language in Big Data.
9. Used in Artificial Intelligence: Artificial Intelligence(AI) is growing day by day. And demands of AI opens the door for the job of a Python developer as Python is used in AI.
10. Used by Multi-National Company: Python is used in Multi-National Companies for different purposes. If you have skills in Python then you might get a job in MNCs.

3. Scopes of Python?

I always prefer to analyze the scope of any programming language based on three scales. And those scales are “Does it support future technologies?”, “What are the Job opportunities?”, “What are the scopes of salaries?”. So here are the scopes of Python in the future:

Future Technologies:

• Artificial Intelligence: (Machine Learning, General AI, Neural Networks, Natural Language Processing)
• Big Data (Data Analysis, Data Science)

Job Opportunities for Python Developer:

There are a lot of job opportunities available for python developers. But I am going to mention a few major job posts available for Python developers in MNCs.

1. Software Engineers
2. Data Scientist
3. Data Analyst
4. Research Analyst
5. Software Developer

Salaries:

Salaries of python developers vary with their job roles as well as with experience. Here is a rough figure of average salaries offered by companies for different job roles.

In short, if I say Python is important for learning future technologies. I think now you also agree with my statement. If you want a six-digit salary then I think now its time to kickstart learning this powerful language. This is all about Python Introduction. We will continue our journey from “Python Basics” in the next blog.

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