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Python Programming Language

Knowing Python Programming Language Better – A Brief Guide

Since the year 1991, Python is the programming language which got considered as the gap-filler. It got used in writing scripts or in rapid prototype applications which got implemented in the other languages. However, with time, Python has become a major part of software development, data analysis, and modern infrastructure management. It does not just remain a utility back-room language anymore. It has major roles to play in systems management and the creation of web applications. It is a key driver in the explosion of machine intelligence and data analytics.

The features of the language are so much modest that it requires little investment of effort and time to learn it. The syntax of Python is straightforward and readable. Thus, the simplicity of the language has made it so much popular worldwide. It is not the fastest language but what makes up this lacuna of the language is its versatility. With every new revision, the language is gaining more useful features added to it.

What Is Python Used For?

One of the basic uses of Python is that it gets used as an automation and scripting language. It is not a replacement for batch files or shell scripts. Rather, Python gets used for automating interactions with application GUIs and web browsers. It is also connected with automating system configuration and provisioning in tools like Salt and Ansible.

  • General Programming Application with Python: Python gets used for creating both cross-platform and command-line GUI applications. Such applications can then get deployed as self-contained executables. The language is deprived of the native ability to generate the standalone binary using a script. However, this can easily be done using third-party packages such as PyInstaller and cx_Freeze.
  • Machine Learning and Data Science with Python: The IT industry is hugely dependent on data analysis which must be done in the most sophisticated manner. Python is the star in this area. Most of the libraries which get used for machine learning and data science comprise Python interfaces. This makes the language largely popular as a command interface.
  • Code Generation and Metaprogramming in Python: Everything contained in the language resembles an object including the Python libraries and modules. This feature enables Python to become an efficient code generator which makes it possible in writing applications that can manipulate their functions themselves. Python also gets used in driving code-generation systems like LLVM for creating codes efficiently in other languages.

What Is Python Programming language?

Technically, Python is one of the high-level level programming languages consisting of integrated semantics which are quite dynamic. The dynamic binding and typing options offered by Python programming make it quite apt for Rapid Application Development. The programming supports the usage of multiple packages and modules. This means that the programs get designed in the style of modules and the codes can get reused in various projects. One of the most beneficial features of this programming is that both the interpreter and standard library are available without any charge both in the source and binary forms. Thus the developers who want to escape the high costs of development can use the Python programming language without any worries. This programming language even gets used in processing texts, solving scientific equations, displaying images or numbers, and saving data. Even NASA uses Python at the time of programming their space machinery and equipment.

What Is Pandas Python?

The package of pandas is the vital most essential tool for the analysts and data scientists working with Python these days. Pandas is the real backbone of the modern data projects that get developed. The term pandas get derived from the world panel data which indicates sets of data including observations of similar individuals over multiple periods. This tool is quite essential for the home of your data. Through pandas, you get to know your data by transforming, cleaning, and analyzing it.

Pandas is not just the central component of the toolkit of data science but it also creates conjunction among the other libraries in the same collection. It is an easy package to install. You simply require following the commands that come up at the time of Pandas installation and import. Its core components are data frames and series.

What Is Pip In Python?

Pip in Python is its package manager. It is the tool that allows the users to manage and install the additional dependencies and libraries which do not get distributed as a portion of the standard library. Every since Python got introduced, pip forms a major part of the programming language. Many other languages like JavaScript, NET, and Ruby also make use of the package manager for their better performance.

Here are some steps that the users must follow when they install pip in python:

  • Installation of the basic package
  • Using the requirement files
  • Fine-tuning requirements
  • Development vs. production dependencies
  • Freezing the requirements for production

What Is Flask In Python?

When users develop web applications in Python, they usually leverage a framework. The framework is the code library which helps in making the life of the developer much easier at the time of building maintainable, reliable, and scalable web apps. It offers reusable extensions or codes which get used for common operations. There are various frameworks in Python like Flask, Pyramid, Tornado, and Django.

The Python Flask can easily get installed from the PPI. Firstly, the user requires creating a directory name and then install the package of the flask.  The web framework of the flask allows you to do a lot by yourself by connecting to the SQL database.

What Is Django In Python?

If you are looking for a high-level web framework in Python then it is Django. It encourages rapid clean and development and pragmatic design. This framework has been designed by various experienced developers to do away with the hassles of website development.

So, this easy to apprehend language Python can be your stepping stone if you are willing to learn a new programming framework and language. Several big companies like Pinterest, Google, Disney, IBM, Yahoo, etc, used Python programming on a large basis.

About Abhay Singh

7 + years of expertise of Cloud Platform(AWS) with Amazon EC2, Amazon S3, Amazon RDS, VPC, IAM, Amazon ELB, Scaling, CloudFront, CDN, CloudWatch, SNS, SQS, SES and other vital AWS services. Understand Infrastructure requirements, and propose design, and setup of the scalable and cost effective applications. Implement cost control strategies yet keeping at par performance. Configure High Availability Hadoop big data ecosystem, Teradata, HP Vertica, HDP, Cloudera on AWS, IBM cloud & other cloud services. Infrastructure Automation using Terraform, Ansible and Horton Cloud Break setups. 2+ Years of development experience with Big Data Hadoop cluster, Hive, Pig, Talend ETL Platforms, Apache Nifi. Familiar with data architecture including data ingestion pipeline design, Hadoop information architecture, data modeling, and data mining, machine learning, and advanced data processing. Experience at optimizing ETL workflows. Good knowledge of database concepts including High Availability, Fault Tolerance, Scalability, System, and Software Architecture, Security and IT infrastructure.

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