Description :
This is the most comprehensive course for the Python programming language! Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course, we will teach you Python. This course will teach you Python in a practical manner, with every lecture comes to a full coding screencast and a corresponding code notebook! Learn in whatever manner is best for you! We will start by helping you get Python installed on your computer, regardless of your operating system, whether its Linux, macOS, or Windows, we've got you covered!
What is Python?
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. Python's 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 doesn't 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 Python's 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.
Who Can Sign Up For The Training?
Beginners who have never programmed before.
Programmers switching languages to Python.
Python programmers who want to level up their skills.
Training Outcomes :
Experience and knowledge.
Enhanced ability to think at peak.
Ability to work on different projects efficiently.
Certification.
Requirements :
