6 Reasons Why You Should Take Python Training

Around every decade, a new programming language has made its debut and swept developers off their feet. One such language is Python, which was introduced back in 1980s and its implementation began in 1989 by Guido van Rossum. Its been over 25 years for Python as a programming language, but nothing has stopped modern developers to take python training even in the present time.

 

6 benefits of learning Python

The benefits of learning python as a programming language are numerous, which justifies aptly why developers choose to learn this language. Below are 6 reasons why developers should (and are) taking up python training.

1. Its popular and offers a good salary package

Most python developers draw some of the highest salary packages in the industry. Ofcourse, these people are equipped with more than just python language, but python training is the first step towards the golden ticket to success.
Python training is on the rise because of the high popularity of this language. A Python developer’s average per annum salary is $113,627 in the United States. While in India, it is around ₹580,000.

2. Python helps in Data Visualization

Indeed, Python offers various data visualization options, making it a powerful choice for data analysis tasks. Among Python’s most popular data visualization tools are Matplotlib, Altair, Plotly, Seaborn, Pygal, Bokeh, Geoplotlib, and Missingno.

Matplotlib is the foundation library on which other libraries like Seaborn, Pandas Plotting, and ggplot were built, showcasing its significance in the Python data visualization ecosystem. Plotly, Seaborn, Altair, Bokeh, Geoplotlib, Pygal, and Missingno complement Matplotlib, providing diverse visualization capabilities.

With these robust data visualization frameworks, Python users can easily sense complex datasets. These libraries offer various representation options, including graphs, pie charts, graphical plots, web-ready interactive plots, and more, allowing users to effectively communicate their findings and insights. Python’s data visualization capabilities make it an invaluable tool for analysts, researchers, and data scientists.

3. Python training is more like your entry ticket to AI-world

Artificial intelligence and its implementations have taken the world by storm. AI will become the helm of technology world where bots will mimic human brains. Python training will offer you all the resources to utilize AI and create the futuristic machine, using abundant resources available in libraries like openCV, TensorFlow and Keras.

Python can be used to build GUI and various desktop applications. If you have a python training, you can also write gaming logics using the pygame module which are compatible with android devices. The opportunities to play around with python and AI are in abundant, but for that a python training is a must.

4. Take Python training to master web development

There is no doubt that python consists of an array of frameworks for website development. The most popular frameworks include Flask, Pylons, and Django. All these frameworks are written in python, which make them fast and stable.

A python training will give you ample knowledge about these frameworks. Along with that you can also learn to perform web scraping. Some of the popular websites that are built on these frameworks include Instagram and Pinterest, along with others. Surprising isn’t it?

5. Python is portable and extensible

Python sets itself apart by offering an unparalleled collection of useful libraries, making it a standout choice for both development and Data Science tasks. Among its impressive arsenal are NumPy, SciPy, Scikit-Learn, Matplotlib, Pandas, StatsModels, and much more. These libraries have been instrumental in significantly expanding Python’s functionalities and capabilities over the years.

NumPy, one of the earliest Python libraries, excels in high-level mathematical functions for multi-dimensional arrays and matrices, making it a top pick for scientific computing. Its scientific counterpart, SciPy, equips users with everything necessary for numerical integration and analysis of scientific data.

Pandas, built on top of NumPy, is another widely used Python library, primarily geared towards data analysis. Meanwhile, for machine learning, Python boasts an array of ML libraries, such as Scikit-Learn, PyBrain, PyLearn2, and PyMC, empowering developers and data scientists to tackle complex ML tasks effectively. Python’s rich library ecosystem truly sets it apart as a versatile and powerful programming language.

6. Python is easy to learn

Python’s straightforward syntax, which closely resembles English, and its high readability factor make it incredibly beginner-friendly. Its learning curve is notably shorter compared to other languages like Java, C, and C++. Additionally, Python allows you to dive straight into your research work without getting bogged down by extensive documentation.

Because of these benefits of learning python, it finds widespread use in both development and Data Science fields, serving various purposes such as web development, text processing, data analysis, and statistical analysis. Embrace Python’s simplicity and unleash your potential in the world of coding and Data Science!

Conclusion

Python has taken the coding industry by storm. Python’s universal appeal stems from its versatility, making it a go-to language for many applications. From Data Science and Big Data tasks to coding and app development, Python finds use in diverse fields, showcasing its adaptability and flexibility.

The language’s popularity has soared recently, attracting numerous aspirants eager to understand the benefits of learning Python and acquiring its programming skills. Its universal appeal makes Python a must-learn language for anyone seeking to excel in the rapidly evolving world of technology and programming.

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• Beginners Guide to Master Python for Data Science