python for data science

Category: Education

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Python is an interpreted, object-oriented programming language similar to PERL, that has gained popularity because of its clear syntax and readability. Python is said to be relatively easy to learn and portable, meaning its statements can be interpreted in a number of operating systems, including UNIX-based systems, Mac OS, MS-DOS, OS/2, and various versions of Microsoft Windows 98. Python was created by Guido van Rossum, a former resident of the Netherlands, whose favourite comedy group at the time was Monty Python's Flying Circus. The source code is freely available and open for modification and reuse. Python has a significant number of users. For more information


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slide 1: tel:+91-8088998664 Digital Nest is the pioneer in rendering the best Python Data Science Course in Madhapur Hyderabad. This course provides the opportunity for the trainee to work on Data Analytics with Python Machine Learning with Python and Web Scraping using Python. We have the professional back-end team for the real-time assistance to support and respond to the trainees’ queries at any point of time. We are located in Madhapur Hitech City and operate in two learning centres viz. Paniagua Madhapur in Hyderabad India. Python is a versatile and powerful language comprising various libraries and frameworks which are easy to use. As it plays a major role in working with Data Science it’s been mandatory for the data scientists to Learn Python for Data Science in Hyderabad. The Python data science certification Course curriculum is created by Real-Time Data Science Industry Expertise to ensure trainees both theoretical and practical knowledge. We provide a comprehensive and credible way of Python Data Science Course in Hyderabad with Hands-on Training Experience to students for grasping In-Depth subject knowledge by working on Real-time Python Data Science Projects: Python for Data Science is a certification course that helps the trainees with the clear understanding of its exclusive use of python in Data Science. This Data science course with python consists of basic concepts of Python for Beginners deep understanding of Python Programming Python for Machine Learning Data Visualization in Python usage of Python in Data Analytics Python in Data Mining Python for Artificial Intelligence and Python in Data Science What is Python Executive Summary Python is an interpreted object-oriented high-level programming language with dynamic semantics. Its high-level built in data structures combined with dynamic typing and dynamic binding make it very attractive for Rapid Application Development as well as for use as a scripting or glue language to connect existing components together. Pythons simple easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms and can be freely distributed. Often programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead when the interpreter discovers an error it raises an exception. When the program doesnt catch the exception the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables evaluation of arbitrary expressions setting breakpoints stepping through the code a line at a time and so on. The debugger is written in Python itself testifying to Pythons introspective power. On the other hand often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.

slide 2: tel:+91-8088998664 We render training in two forms 1. Python Classroom Training in MadhapurPanjagutta Hyderabad India. 2. Python Data Science Online Course Python Course in Hyderabad content is composed and updated as per latest Data Science industry standards and the content of the course is stimulated by the changes in the subject. Digital Nest like any other Python training institute in Hyderabad India offers the spectacular course along with the Real-Time case studies that are emphasized by the expert trainers. Module based assignments are conducted to ensure consistent understanding amongst the trainees. Data Science Certification is imparted by the execution of Real Time Python Projects submitted by every student. Students are encouraged to practice on their technical plans and qualified guidance is assured by our certified Certified Data Science Professional. Who are eligible candidates for this Data Science Course with Python Any student who wants to build their career in Python can take this Python Data Science Training in Hyderabad. The ideal candidates are • System Engineers Software Developers and ETL Professionals • Analytical Professionals Big Data Professionals Network Professionals who are already working on Python Programming • Communication Professionals Fresher’s and Graduates can take this Python Course in Hyderabad What are the pre-requisites to take this Python Data Science Course There would not be particular prerequisites to learn Python course. It would be beneficial if one has the basic knowledge in any of the programming language. Python data science training in Hyderabad Course Highlights • The program comes with a cutting-edge industry-aligned curriculum. • Course can be rendered in two modes: Class room and Online training using the practical hands-on learning methodology. • 100 Placement Internship and Live Project assistance by industry’s professionals. • Students will be provided Videos Backup Classes Revision Classes Assignments and projects. • Candidate will be provided with the Digital Nest Certificate • Deep understanding of Big Data Analytics along with business perspectives and cutting- edge Practices Data Science with Python Course Structure Module 1: Introduction to Python programming • What is Python • History • Why is Python preferred for Data Science

slide 3: tel:+91-8088998664 • Installation of I python/Jupyter Notebook/ SPYDER Basics of Python: • Keywords • Built-in functions • String Formatting • Lists • Loops • Tuples • Indexing • Slicing • Sequences • Dictionaries • Sets • Importing and exporting data from python into various formats Functions • User-defined functions • Parameters • Nested functions • Local and Global variables • Alternate Keys • Lambda functions • Sorting Lists and Dictionaries • Sorting Collections Error and Exception handling • Errors in Python • Abnormal termination • Exception handling methods • Ignoring Errors • Assertions and effective usage of assertions OOPS Packages and Libraries in Python • Methods and Inheritance • Abstraction and Encapsulation • Walking Directory Trees

slide 4: tel:+91-8088998664 • Initializes • Instance methods • Class methods • Data Static Methods • Expressions • Module Aliases • Math functions • Random Numbers • Package Installation Methods • Introduction to Numpy Pandas and other libraries • Plotting in Python • Creating Data Frames • Data Manipulation • Slicing and Dicing Module 2:Machine Learning AI Using Python • Introduction to Sckit- Learn • Pre-processing Data • Model Selection and Cross-Validation • Implementing Machine Learning Algorithms using Python • Implementing neural networks in Python • Tensor Flow and Keras usin

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