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Price: 9322/-

NOTE * : All fees are inclusive of taxes.

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It’s no secret that Python is one of the most commonly used programming languages. For the past five years, Python has held the number one position as the “most popular coding language.” Python is a favorite among many developers for its strong emphasis on readability and efficiency, especially when compared to other languages like Java, PHP, or C++.

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Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. This Python Course will cover both basic and advance concepts of Python like writing python scripts, sequence and file operations in python, Machine Learning in Python. You will also go through important and most widely used packages like pandas, numpy scipy etc.

Course Objective:

Python can be easy to pick up whether you’re a first time programmer of your experienced with other languages.

After the completion of Python Certification Course, you should be able to:

  • Master the Basic and Advanced Concepts of Python
  • Uses an elegant syntax, making the programs you write easier to read.
  • Is an easy-to-use language that makes it simple to get your program working? This makes Python ideal for prototype development and other ad-hoc programming tasks, without compromising maintainability.
  • Comes with a large standard library that supports many common programming tasks such as connecting to web servers, searching text with regular expressions, reading and modifying files.
  • Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
  • Master the Concepts of Sequences and File operations
  • Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions.
  • Analysing, cleaning, modelling data and organizing the result of the analysis into a form which suitable for plotting and tabular display. 


No Experience is required, attendees having prior programming experience and familiarity with basic concepts such as variables/scopes, flow-control, and functions would be beneficial. Prior exposure to object-oriented programming concepts is not required, but definitely beneficial. 

Outlines of Courses
  • An Introduction to PYTHON
  • Python Basics
  • Variables and data types
  • Decision making & Loops
  • Function
  • Modules and Packages
  • Exception Handling
  • Files and Directories
  • Classes & Objects
  • Regular Expressions
  • Debugging in Python
  • Database SQLite and MySql
  • Scientific Computing with NumPy 
  • PyLab, Matplot and Pandas

Note * Please register for free to view full course content.

You can get certifications and Training certificate along with project letter from RCPL on successful completion of the program. 
Certifications put you on the path to career enhancement and greater success in your chosen profession. Take advantage of a full suite of progressive benefits while increasing your knowledge, effectiveness and marketability.
Dates will be according to University exam schedule.

Batch Schedule For Python in Winter Training Program,Online Live Training Program

OLTP-2017-ONL-PYT-JUL-1 Click here to view address 50 Hrs. 19-Jul-2017 5:00 PM TO 1:00 PM
OLTP-2017-ONL-PYT-AUG-1 Click here to view address 50 Hrs. 17-Aug-2017 5:30 PM TO 8:00 PM
WTP-2017-NDA-PYT-DEC-1 Click here to view address 50 Hrs. 02-Dec-2017 3:15 PM TO 6:30 PM
WTP-2017-NDA-PYT-DEC-2 Click here to view address 50 Hrs. 16-Dec-2017 3:15 PM TO 6:30 PM
WTP-2017-NDA-PYT-JAN-1 Click here to view address 50 Hrs. 02-Jan-2018 3:15 PM TO 6:30 PM
WTP-2017-KOL-PYT-DEC-2 Click here to view address 50 Hrs. 15-Dec-2017 8:00 AM TO 11:30 AM
WTP-2017-PTA-PYT-DEC-1 Click here to view address 50 Hrs. 15-Dec-2017 8:00 AM TO 11:30 AM
WTP-2017-KOL-PYT-JAN-1 Click here to view address 50 Hrs. 02-Jan-2018 8:00 AM TO 11:30 AM