Python is becoming increasingly popular and a highly adaptable programming language that lets you work more rapidly and integrate systems more effectively. Key features of Python are flexibility, rapid development, scalability, excellent performance and ease of maintenance. You can learn Python and realize immediate improvements in productivity and lower maintenance cost. Python runs on all major operating systems: Windows, Linux/Unix, Mac OS X. Python can be integrated with .COM, .NET, and .CORBA objects. There are implementation of Python for Java libraries and for .NET objects. Python is free to use, even for commercial products, because of its OSI (Open Source Initiative) approved open source license. It has lot of libraries and frameworks available, which is also a reason to make Python so popular.
Google has a strong relationship with the language itself and the Python software foundation: Google is always sponsoring various Python conferences (PyCon, EuroPython, etc). Python has been an important part of Google from the company’s beginning and is recognized as an official language at Google, it is one of the key languages at Google today, alongside with C++ and Java. Some of the key Python contributors are Googlers and they continue to use, promote, and support the language actively. Python runs on many Google internal systems and shows up in many of Google APIs. It suits perfectly the engineering process at Google. “Python has been an important part of Google since the beginning, and remains so as the system grows and evolves. Today dozens of Google engineers use Python, and we're looking for more people with skills in this language" (Peter Norvig, Director of search quality at Google, Inc.).
Google Cloud Platform offers computing & hosting services for Python applications and various products for storage, machine learning, and big data that can be used from any Python application anywhere.
TensorFlow is an open source Python library for fast numerical computation released by Google, which can be used to create Deep Learning in Python.
Data Science with Python is becoming increasingly popular for data analysis and interactive, exploratory computing and data visualization. Data Science in python has been preferred amongst most Data Scientists.
Python has popularity with Embedded Systems especially for being able to access hardware via serial ports and hence can play a distinguished role in IoT (Internet of Things) applications. IoT involves a lot of data analytics with Python as it has got rich modules e.g. NumPy, pandas, matplotlib, ipython, sci-py etc for all such purposes.
Python is distinguished by its large and active scientific computing community. Adoption of Python for scientific computing in both industry applications and academic research has increased significantly since the early 2000s. There are people developing “libraries” for virtually anything.
This course begins with an introduction to the Python programming training with basics of the python programming environment, including how to download and install python, fundamental python programming techniques, common Python functionality and features. Our Python programming classes include basic syntax & semantics of the language, language components, Collections, Functions, Regular Expressions, Modules, Exceptions, File Handling methods, Multi-threading programming, Classes & Objects, Django, Handling Databases, Creating No-SQL Database for Hadoop.
In addition, following specialization gives you an edge over a standard Python Developer.
You will learn Python API for Cloud Computing - Cloud Server Monitoring and Maintenance, Securing Cloud with Python.
The Internet of Things (IoT) is transforming businesses and industries. Raspberry Pi is becoming famous as IoT DIY(Do It Yourself) platform, and has a great support for python libraries, like RPi.GPIO. This Specialization covers embedded systems, the Raspberry Pi Platform, and the Arduino environment for building devices that can control the physical world.
You will learn how to set up the Raspberry Pi environment and write and execute some basic Python code on the Raspberry Pi. You will also learn how to use Python-based IDE (integrated development environments) for the Raspberry Pi and how to trace and debug Python code on the device.
You will understand and appreciate the use of Python for Data Analytics - machine learning concepts and relevant scientific Python libraries like NumPy, SciPy, MatplotLib, Pandas, ScikitLearn.
Our Python Programming course content is developed and taught by industry experienced professional Python developers working in leading multinational companies.
This course offers a deep understanding of Python Language, related concepts with clear practical examples, significant programming assignments and a capstone project, providing you a great learning experience in one the best Python training institutes in Pune.
This course is intended for learners, who are looking for classroom Python training in Pune, for web development, automation, ETL activities, robotics, Python for data analysis, Big Data Hadoop - coding for MapReduce and SPARK frameworks, apply statistical techniques & machine learning for Data Science using Python, information visualization, text analysis, and social network analysis techniques to gain insight into their data.
Ideal candidates are Web Developers, Data Scientists, Data Analysts, Business Analysts, ETL Developers, Hadoop Developers, software testing professionals, Automation Engineers, DevOps engineers, System Administrators, Networking Professionals, Robotics Engineers, Project Managers, fresher IT professionals and college students.
Learning aspirants searching for python online course or python training online may contact us for details. Aspirants might have been tempted by the benefits of online python course or a python online tutorial, but need to carefully choose the training mode. Classroom training has been more effective than the python course online. However, aspirants constrained with geographical limitation may also opt for online python training with us.
Earn a MARSIAN certificate of completion at end of the course. Additionaly, you will also get necessary support for any external certification preparation.