9 practical reasons to take a Python course
I 2019, Python replaced Java as the most popular computer language in colleges and universities.
Since then, the growth of this language has been enormous.
That does not mean that Java or C ++ have become superfluous as a result, but a Python course makes you better as a programmer.
For beginners it is easy; for advanced users (with knowledge of Ruby, Java or Javascript) it provides a new, powerful tool with a wide range, wider than for example Groovy.
In this way, more trivial things can be solved faster, so that you can focus more on more exciting work.
Not sure about taking a Python course? Then there are 9 reasons to do it.
1. DATA SCIENCE
This is one of the main reasons (and often the only one) why many programmers want to learn Python in 2019.
Data science is exciting and generates a lot. Where R has long been considered the preferred language here, Python is slowly taking over.
The main reason for this is the larger range. You can do more with Python than with R, such as writing scripts for automation or web design.
2. MACHINE LEARNING
The growth of machine learning is phenomenal. Algorithms are refined from day to day, with the Google search algorithms as a textbook example.
Companies such as Uber are also fully driven by algorithms.
If you are interested in machine learning, Python is actually the only substantial programming language that offers you a simple entry.
See Top Machine learning courses in India
3. WEB DESIGN
Excellent libraries and frameworks such as Django and Flask make web development easy.
A task that costs PHP hours will only take Python a few minutes. Your Python course will therefore soon pay off.
4. SIMPLICITY
As mentioned before, this is the biggest reason for beginners to learn Python.
When you first start programming and coding, you get a difficult syntax and a lot of weird rules.
Python is then both legible and simple. Moreover, it is easy to install, without classpath problems.
5. LARGE COMMUNITY
To learn a new programming language you need the help of the community and well-read friends become your greatest asset.
After all, you regularly get stuck and you need help getting out.
Python solutions are then found very quickly via Google. Leading communities such as StackOverflow have also documented the program very well.
6. LIBRARIES AND FRAMEWORKS
One of the similarities between Python and Java is a large number of open-source libraries, frameworks, and modules, with which you can do whatever you want.
They greatly simplify the development of applications. Imagine making an app without Spring in Java.
In this respect, Python has many libraries, tailored to many different needs.
Django and Flask are 2 of the most popular for web designers, while NumPy and SciPy are popular within Data Science.
Libraries such as TensorFlow, Scikit-Learn, Keras, Pandas, and others make the total offer of Python very powerful.
7. AUTOMATION
Where UNIX or other commands sometimes let you down to quickly find solutions to a problem (for example intercepting UDP messages); Python offers fast tools and handy modules, with which utilities can be developed in an instant.
They fully underline the strength of Python as a programming language, certainly when it comes to writing scripts and offering tools that make automation run smoothly.
Especially when the subject matter is less interesting, Python takes a lot of work off the shelf.
8. MULTIFUNCTIONAL
Python is like a Swiss army knife and can be used for many different functions.
In contrast to a language such as R, for example, it is not only good for data science or machine learning, but also for many other application domains, such as the web development mentioned above.
So learning Python is also about significantly expanding your options as a programmer.
For example, you can build entire web applications with Django and Flask, while data analysis is not an issue for NumPy, SciPy, Scikit-Learn, and NLTK.
Moreover, you can also use Python for building scripts that can automate many daily tasks.
9. JOBS, GROWTH, AND PAY
The growth of Python has been phenomenal in recent years.
This evolution actually makes sense, especially as a beginning programmer, to start a python programming course.
It will not only help you to find a job quickly but also accelerate your career growth.
Python developers are among the highest-paid developers in the field (in particular in the mentioned domains of data science, machine learning, and web design).
See About learning python how do you do that as a starting programmer.
Since then, the growth of this language has been enormous.
That does not mean that Java or C ++ have become superfluous as a result, but a Python course makes you better as a programmer.
For beginners it is easy; for advanced users (with knowledge of Ruby, Java or Javascript) it provides a new, powerful tool with a wide range, wider than for example Groovy.
In this way, more trivial things can be solved faster, so that you can focus more on more exciting work.
Not sure about taking a Python course? Then there are 9 reasons to do it.
1. DATA SCIENCE
This is one of the main reasons (and often the only one) why many programmers want to learn Python in 2019.
Data science is exciting and generates a lot. Where R has long been considered the preferred language here, Python is slowly taking over.
The main reason for this is the larger range. You can do more with Python than with R, such as writing scripts for automation or web design.
2. MACHINE LEARNING
The growth of machine learning is phenomenal. Algorithms are refined from day to day, with the Google search algorithms as a textbook example.
Companies such as Uber are also fully driven by algorithms.
If you are interested in machine learning, Python is actually the only substantial programming language that offers you a simple entry.
See Top Machine learning courses in India
3. WEB DESIGN
Excellent libraries and frameworks such as Django and Flask make web development easy.
A task that costs PHP hours will only take Python a few minutes. Your Python course will therefore soon pay off.
4. SIMPLICITY
As mentioned before, this is the biggest reason for beginners to learn Python.
When you first start programming and coding, you get a difficult syntax and a lot of weird rules.
Python is then both legible and simple. Moreover, it is easy to install, without classpath problems.
5. LARGE COMMUNITY
To learn a new programming language you need the help of the community and well-read friends become your greatest asset.
After all, you regularly get stuck and you need help getting out.
Python solutions are then found very quickly via Google. Leading communities such as StackOverflow have also documented the program very well.
6. LIBRARIES AND FRAMEWORKS
One of the similarities between Python and Java is a large number of open-source libraries, frameworks, and modules, with which you can do whatever you want.
They greatly simplify the development of applications. Imagine making an app without Spring in Java.
In this respect, Python has many libraries, tailored to many different needs.
Django and Flask are 2 of the most popular for web designers, while NumPy and SciPy are popular within Data Science.
Libraries such as TensorFlow, Scikit-Learn, Keras, Pandas, and others make the total offer of Python very powerful.
7. AUTOMATION
Where UNIX or other commands sometimes let you down to quickly find solutions to a problem (for example intercepting UDP messages); Python offers fast tools and handy modules, with which utilities can be developed in an instant.
They fully underline the strength of Python as a programming language, certainly when it comes to writing scripts and offering tools that make automation run smoothly.
Especially when the subject matter is less interesting, Python takes a lot of work off the shelf.
8. MULTIFUNCTIONAL
Python is like a Swiss army knife and can be used for many different functions.
In contrast to a language such as R, for example, it is not only good for data science or machine learning, but also for many other application domains, such as the web development mentioned above.
So learning Python is also about significantly expanding your options as a programmer.
For example, you can build entire web applications with Django and Flask, while data analysis is not an issue for NumPy, SciPy, Scikit-Learn, and NLTK.
Moreover, you can also use Python for building scripts that can automate many daily tasks.
9. JOBS, GROWTH, AND PAY
The growth of Python has been phenomenal in recent years.
This evolution actually makes sense, especially as a beginning programmer, to start a python programming course.
It will not only help you to find a job quickly but also accelerate your career growth.
Python developers are among the highest-paid developers in the field (in particular in the mentioned domains of data science, machine learning, and web design).
See About learning python how do you do that as a starting programmer.
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