Python Programming

Python programming is an open source programming usually for professionals who are not new to the fields of web development, big data, embedded systems, and scripting. Through this course, you gain in-depth experience on python packages like SciPy, NumPy, Lambda function and also how to write python code for big data systems like Hadoop and spark.

Python is a powerful dynamic programming language which has various applications. Specific emphasis is laid on topics like file operations, modules, functions, regular expressions, features of python like tuplets, output formatting and many more. We provide special training on writing and running scripts only in python integrated development environment (IDLE). This course of ours provides real-world industry projects based on python for making our students more expertise in it.

In this, we start with a brief note on Python that includes its features, history, versions, applications, path, example, execution, literals, operators, comments, variables, and keywords. Different control statements like the python loop, python if else, python else if, python do while, python break, python continue, python pass, and python nested if are involved. in the topic python loop, we include while loop, for loop, lists, else loop, range functions, and continue statement.  

The Python function has local and global variables, default argument value, docstrings, map function, and high order function. Other topics include a data structure, python strings, python file handling, exception handling and python GUI with Tkinter. Adding buttons, creating classes, raising exceptions file opening, closing and writing all this may be complex in a new programming language. So we have our tutors here who guide you properly in every prospect of this field to make you reach up to a moderate level In Python programming language.

Use of Python Programming:

• Get a deep understanding of object-oriented programming,
• Understanding the use of operators, expressions and control statements for managing the flow of data,
• Know about the basics of python,
• Know about the developmental tools for python,
• Learn the concept of python project structure,
• Carry out and learn the concept of python project lecture,
• Create classes and simple complex applications using python.
• Better knowledge of python language, its features and development tools.
• Other advance topics include learning of functions, modules, file operations, and regular expressions.