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Most trusted JOB oriented professional program
DevOps Certified Professional (DCP)

Take your first step into the world of DevOps with this course, which will help you to learn about the methodologies and tools used to develop, deploy, and operate high-quality software.

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DevOps to DevSecOps – Learn the evolution
DevSecOps Certified Professional (DSOCP)

Learn to automate security into a fast-paced DevOps environment using various open-source tools and scripts.

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Get certified in the new tech skill to rule the industry
Site Reliability Engineering (SRE) Certified Professional

A method of measuring and achieving reliability through engineering and operations work – developed by Google to manage services.

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Master the art of DevOps
Master in DevOps Engineering (MDE)

Get enrolled for the most advanced and only course in the WORLD which can make you an expert and proficient Architect in DevOps, DevSecOps and Site Reliability Engineering (SRE) principles together.

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Gain expertise and certified yourself
Azure DevOps Solutions Expert

Learn about the DevOps services available on Azure and how you can use them to make your workflow more efficient.

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Learn and get certified
AWS Certified DevOps Professional

Learn about the DevOps services offered by AWS and how you can use them to make your workflow more efficient.

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Top 26 Free and Popular tools written in Python

What is Python


Python is a programming language that is commonly used to create websites and applications, automate operations, and perform data analysis. Python is a general-purpose programming language, which means it can be used to develop a wide range of applications and isn’t tailored to any particular problem.

Python is a dynamically semantic, interpreted, object-oriented high-level programming language.

Its high-level built-in data structures, together with dynamic typing and dynamic binding, make it ideal for Rapid Application Development and as a scripting or glue language for connecting existing components.

Python’s concise, easy-to-learn syntax promotes readability, which lowers software maintenance costs. Modules and packages are supported, allowing for program modularity and code reuse. The Python interpreter and its substantial standard library are free to download and distribute in source or binary form for all major platforms.

Top 26 Free and Popular tools written in Python

  • Pandas – Used to data analysis
  • SciPy – Algorithms to use with numpy
  • HDF5 – Used to store and manipulate data
  • Jupyter – Research collaboration tool.
  • HDFS – C/C++ wrapper for Hadoop
  • SWLAIchemy – Python SQL toolkit
  • pyMYSQL – MySQL connector
  • Theano – Deep learning with neural networks
  • Lasagne – Build an train neural networks in theano
  • Seaborn – Dtaa visualization tool
  • Airflow – Data engineering tool
  • Elasticsearch – Data search engine
  • PyBrain – Algorithms for ML
  • NumPy – Multidimensional arrays
  • Matplotlib – Data visualization tool
  • Pytables – Used for managing HDFS datasets
  • IPython – Powerful shell
  • Pymongo – MongoDB driver
  • Redis – Redis’ access libraries
  • Scikit-learn – Used for machine learning algorithms
  • Keras – High-level neural network API
  • Bokeh – Data visualization tool
  • Dask – Data engineering tool
  • Luigi – Data engineering tool
  • SymPy – Symbolic math
  • Pattern – Neural language processing
Rajesh Kumar
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