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Learn Python from zero to professional with projects
Become a MATSER in python in very short period of TIME

    • Introduction to Python
      4 Lectures
    • Datatypes
      3 Lectures
    • Functions
      2 Lectures
    • Loops
      4 Lectures
    • Lists and Tuples
      3 Lectures
    • Arrays
      2 Lectures
    • Dictionaries and Operators
      3 Lectures
    • Making Calculator (Simple Project)
      1 Lectures
    • Modules
      2 Lectures
    • Variables
      2 Lectures
    • Graphical User Interface (GUI)
      2 Lectures
    • OOP(Object Oriented Programming)
      1 Lectures
  • Description

    For beginners in Programming, you might be confused to start what course first, but now it is time to say GOODBYE  to all your confusions.........

    Because now we are going to start PYTHON...

    It is as Easy as Efficient while learning Python.

    * In this course first you are going to learn all the basics about Python.

    * From the basics, we will go to the Advanced level of Python.

    * In Advanced Python we are going to learn how the actual A. I (artificial intelligence) works.

    * After that deeper we will learn about Machine Learning.

    * Then about DJANGO and WEBDEV using Django.

    * Also we will learn, how to do some projects in python.

    * Will also make you a master in programming.

    * After this course you will be ready with all your stuff for any coding interview.

    * Our course will contain all the basic levels of Python programming and the Ecosystem combined with Python.

    * All the IDE's used to run our python code. 

    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.

    What Will I Get ?

    • Python
    • Programming
    • making projects

    Requirements

    • Basic Computer
    • Will to learn
Learn Python from zero to professional with projects
This Course Includes :

4.5 hours

29 Lectures

Lifetime Access

30-Days Money Back Guarantee

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