Python for everyone: Mastering Python The Right Way
Tags: beginners, python
Published: 2022-03-03 14:20:00

## Introduction 

This article is for anyone who wants to learn python , regardless of  the level ,beginner, intermediate, or advanced. It really doesn't matter if you began earlier or beginning now .It is never too late for anyone to start learning  .

Python is a high-level programming language designed to be easy to read and simple to implement. It is free to use, even for commercial applications. It incorporates modules, exceptions, dynamic typing, very high level dynamic data types, and classes.

Python is used used in many organizations as it supports multiple programming prototypes and  also performs automatic memory management.

 

**Why python ?**

Python is one of the  most popular programming  languages in the world. It  is a powerful, very flexible, and very easy to understand and use . Python has a very active community too where one can easily fit in and practice . 


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/eygl8v476vxpmj6m8lab.png)

**Some of the advantages of using python include:**  

**_1. Simplicity_** 
Python’s syntax is easy to learn, so both non-programmers and programmers can start programming right away. As mentioned earlier ,don't worry even if you are a beginner. its code is easy to comprehend, share, and maintain. There is no verbosity and the language is easy to learn. Its  syntax is very clear, so it is easy to understand program code. 

**_2.A strong community._**
Python has a rapidly growing user base and actually is representative of what a strong community is. There are thousands of contributors to Python’s powerful toolbox — Pythonists. It has an active support community with many web sites, mailing lists, and USENET “netnews” groups that attract a large number of knowledgeable and helpful contributes.

**_3.Development speed._**

Python is designed to be accessible. This makes writing Python code very easy and developing software in Python very fast.
It all accelerates the speed of software development with Python making the language highly concise and productive.

**_4. High-Level Language_**

Python looks more like a readable, human language than like a low-level language. This gives you the ability to program at a faster rate than a low-level language will allow you.

**_5.Flexibility_**

Python is usable across different projects. It allows developers to choose between object-oriented and procedural programming modes. Python is flexible in data type, too. 

**_6.Portability_**

can be written for further interpretation equally well on Linux, Windows, Mac OS, and UNIX without demanding for adjustments. Python programs also allow implementing portable GUIs.
 

**_7. Object oriented programming_**

Python is Object-oriented  allowing  you to create data structures that can be re-used, which reduces the amount of repetitive work that you’ll need to do. 
Python’s support for object-oriented programming is one of its greatest benefits to new programmers because they will be encountering the same concepts and terminology in their work environment.

**_8. Extensible_**

Python has an extensive collections of freely available add-on modules, libraries, frameworks, and tool-kits(In addition to the existing standard libraries ). So it’s usually easy to modify a Python program to support any database engine.




## Careers in python 

This is the exciting part , before you decide to venture in any programming language you have to set a goal . You have to know what you want to achieve at the end of the day with knowing any language. Python is used extensively and has a multiplicity of purposes. Generally  python is used in : Web app development Scripting ,Data science , Database programming and Quick prototyping. Once you know what you want to become at the end of the day then you plan or set a clear course of how to achieve it 

From my own perspective , i like to compare programming with mathematics , it needs alot of research and practice to master and as mentioned earlier , we have a whole community with lots of resources to learn and practice .

With that said lets look at the different strong careers opportunities in python :


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/r2ubxx0q267towjdt603.png)


**1.Software Engineer**

Software Engineers, like Developers, are responsible for writing, testing, and deploying code. As a Software Engineer, you’ll need to integrate applications, debug programs, and overall improve and maintain software.

Software Engineers’ day-to-day routines usually involve ensuring active programs run smoothly, updating programs, fixing bugs, and creating new programs. Software Engineers write for a wide variety of technologies and platforms, from smart home devices to virtual assistants.

**2.Python Developer**

Python Developer is one of the most direct jobs that you can expect to land after acquiring this skills in python .So  What does a Python developer do? Here are a few key responsibilities: 
-Build websites
-Resolve problems related to data analytics
-Write codes that are both reusable and efficient
-Optimize data algorithms
-Implement data protection and security


**3.Research Analyst**

Research analysts must carefully examine data and produce meaningful information for their employer. This can involve not only drawing meaning from the data, but also checking to make sure the data is correct and using it to validate ideas and theories. 

**4.Data Analyst**

Data analysts collect, organize, and interpret data to create actionable insights. To accomplish this, Data Analysts must collect large amounts of data, sift through it, and assemble key sets of data based on the organization’s desired metrics or goals. Python libraries are used  to carry out data analysis, parse data, analyze datasets, and create visualizations to communicate findings in a way that’s helpful to the organization.


**5.Data Scientist**

Data Scientists have a more complex skill set than Data Analysts, combining computer science, mathematics, statistics, and modeling with a strong understanding of their business and industry to unlock new opportunities and strategies.

Data Scientists are not only responsible for analyzing data but often also using machine learning, developing statistical models, and designing data structures for an organization.

**6.Software Developer**

Python developers are computer programmers who specialize in writing server-side web application logic. Their job is to use the Python programming language to develop, debug, and implement application projects. They also connect applications with third-party web services and support front-end developers with application integration.

**7.Machine learning engineer**

A machine learning engineer builds and trains machines, programs, and other computer-based systems to apply their learned knowledge for making predictions. Python’s ability to work with data automation and algorithms makes it the ideal programming language that can be used in machine learning. 

**8. Product Manager**

Product managers are responsible for researching new user features, find gaps in the market, and make an argument for why certain products should be built. Data plays a huge role in their work, so many companies are now seeking product managers who know Python.

**9.Web Developer**

Web Developers typically specialize in either “front-end” (“client-side”) development or “back-end” (“server-side”) development, with the most sought-after development professionals, called “Full-Stack Developers,” working in both.
 Web Developers keep sites current with fresh updates and new content. They work in a collaborative role, communicating with management and other programmers to ensure their website looks and functions as intended.

## **Top 13 Resources to Learn Python Programming**

Resources that are free to access and cover everything from the introduction to in-depth tutorials.

1. Python.org
Website: https://www.python.org/
2. Learn Python.org
Website: https://www.learnpython.org/
3. Python for Beginners
Website: https://www.pythonforbeginners.com/
4. A Byte of Python
Website: https://python.swaroopch.com
5. Awesome Python
Github Link: https://github.com/vinta/awesome-python
6. Google’s Python Class
Website: https://developers.google.com/edu/python
7. Python Spot
Website: https://pythonspot.com
8. The Hitchhiker’s Guide to Python
Website: https://docs.python-guide.org/
9. Dive Into Python 3

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/88q18bydnqxnsg8w7h4o.png)

Website: http://www.diveintopython3.net/
10. Full Stack Python
Website: https://www.fullstackpython.com/
11. Real Python
Website: https://realpython.com/
12. The Python Guru
Website: https://thepythonguru.com/
13. Talk Python
Website: https://talkpython.fm/

**Conclusion**
In summary, Python is a very interesting and easy language to master and the most exciting part is , its rapidly growing ,to mean at any given time there is something new to learn. 

With enough research and practice , it is easy to become a python guru. All you need is  a clear plan and consistency in learning and practicing .

**“Learning to code is learning to create and innovate.”
—Enda Kenny, Taoiseach, Ireland**