Python Programming – Advantages of Python, Drawbacks, and Best Python IDE

Python Programming – Advantages of Python, Drawbacks, and Best Python IDE

Python programming is a high-level, interpreted, and general-purpose dynamic programming language that focuses on code readability. The syntax in Python helps the programmers to do coding in fewer steps as compared to Java or C++. They usually involve imperative and object-oriented functional programming. It has a comprehensive and large standard library that has automatic memory management and dynamic features.

 

 

ADVANTAGES OF PYTHON

The Python language has diversified applications in software development companies such as in gaming, web frameworks and applications, language development, prototyping, graphic design applications, etc. This provides the language a higher plethora over other programming languages used in the industry.

Some of the advantages of Python are –

a) Extensive Support Libraries

b) Integration Feature

c) Improved Programmer’s Productivity

d) Productivity

e) Limitations or Disadvantages of Python

f) Difficulty in Using Other Languages

g) Weak in Mobile Computing

h) Gets Slow in Speed

i) Run-time Errors

j) Underdeveloped Database Access Layers

 

 

DRAWBACKS OF PYTHON

We’ve seen why Python Programming is a great choice for your project. But if you choose it, you should be aware of its consequences as well. Let’s now see the Drawbacks of Python over another language.

a) Speed Limitations

b) Weak in Mobile Computing and Browsers

c) Design Restrictions

d) Underdeveloped Database Access Layers

e) Simple

 

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BEST PYTHON IDE FOR DATA SCIENCE

The best Python IDEs for data science that make data analysis and machine learning easier! IDE stands for Integrated Development Environment. It’s a coding tool that allows you to write, test, and debug your code in an easier way, as they typically offer code completion or code insight by highlighting, resource management, debugging tools, … And even though the IDE is a strictly defined concept, it’s starting to be redefined as other tools such as notebooks start gaining more and more features that traditionally belong to IDEs.

 

Spyder

Spyder is a scientific integrated development environment written in Python. This software is designed for and by scientists who can integrate with Matplotlib, SciPy, NumPy, Pandas, Cython, Python, SymPy, and other open-source software. Spyder is available through Anaconda (opensource distribution system) distribution on Windows, macOS, and Linux.

Features:

a) Allows you to run Python code by cell, line, or file.

b) Plot a histogram or time-series, make changes in date frame or numpy array.

c) It offers automatic code completion and horizontal/vertical splitting.

d) Find and eliminate bottlenecks

e) An interactive way to trace each step of Python code execution.

 

 

PyCharm

PayCharm is a cross-platform IDE used for Python programming. This editor can be used on Windows, macOS, and Linux. This software contains API that can be used by the developers to write their own Python plugins so that they can extend the basic functionalities.

Features:

a) It is an intelligent Python code editor supports for CoffeeScript, JavaScript, CSS, and TypeScript.

b) Provides a smart search to jump to any file, symbol, or class.

c) Smart Code Navigation

d) It offers quick and safe refactoring of code.

e) It allows you to access PostgreSQL, Oracle, MySQL, SQL Server, and many other databases from the IDE.

 

 

Jupyter

Jupyter is a tool for people who have just started with data science. It is easy to use, interactive data science IDE across many programming languages that just not work as an editor, but also as an educational tool or presentation.

Features:

a) It supports for Numerical simulation, data cleaning machine learning data visualization, and statistical modeling.

b) Combine code, text, and images.

c) Support for many programming languages.

d) Integrated data science libraries (matplotlib, NumPy, Pandas)

 

 

Atom

Atom is a useful code editor tool preferred by programmers due to its simple interface compared to the other editors. Atom users can submit packages and them for the software.

Features:

a) Package Manager Integrated for Plugins support

b) The feature of smart auto-completion

c) Supports Command Palette

d) Multiple panes

e) Allow cross-platform editing

 

 

CONCLUSION:

Python is a robust programming language and provides easy usage of the code lines, maintenance can be handled in a great way, and debugging can be done easily too. It has gained importance across the globe as computer giant Google has made it one of its official programming languages.

 

MUST-READ: INTRODUCTION TO PYTHON PROGRAMMING

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