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Python 3 MCQ questions & Python Exercises & Python Examples to be a Python job ready for upcoming Python interview.

What you will learn

Learn Python coding in easy and simple way by doing, practicing & challenging Exercices.

Apply your Python programming Skills & Knowledge.

Master Python programming Core Concepts in simple way through challenging Exercices.

Learn how to use Jupyter notebook and IPython….

Learn how to code in python in simple and easy way by doing.

Apply what you will learn in Python by examples through exercises.

Prepare your self for the upcoming Python interview.

Become a python MCQ and coding challenging Expert.

learn how to use impeded Python interpreter in StudyBullet.

Description

100 Python MCQ questions, 100 Python Exercises, Python Coding Examples and Python Cheat sheets make you become a Python developer job ready for upcoming Python interview for this Python is for beginner and advanced Python developers .

These MCQ and Exercises are deep dive into Python core concepts:

  • Operators Types in Python.
  • Number in Python
  • Python Data Types.
  • Lambda Expression in Python.
  • String Functions & entries in Python.
  • How to use Input String Function in Python.
  • How to create Lists & lists operations in Python.
  • How to create Dictionaries & Dictionaries operations in Python .
  • How to create Tuples & Tuples operations in Python.
  • How to create Sets & Sets operations in Python.
  • IF Statement and control flow in Python.
  • For Loop in Python.
  • While Loop in Python.
  • Error Exception in python.
  • Functions in Python.
  • Python Modules.
  • Open Files in Python.
  • Object Oriented programming(OOP) in Python.

Also you will learn:

  • How to Install Python 3.
  • How to use python IDLE.
  • How to Install Anaconda for Python coding.

Why to master Python Programming Exercises ?

Python is a high level programming language, strong, elegant, and easy to learn.

Python is a modern programming language which used in many tech sectors like web, data science and

machine learning etc …


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Python is Faster than R programming language when used for data science.

Python Has lots of libraries which facilitate its use for data analysis.

Python is an Objective oriented programming Language so you can use objects when coding in python.

Python is Free open source programming language.

Python can be used for a large variety of programming tasks, such as for desktop applications, game programming and mobile development.

Python is a cross platform language, which means that code written for one operating system, such as Windows, will work well on Mac OS or Linux without making any changes to the Python code.

English
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Content

Introduction
Introduction
Why to work as a Python developer.
Prepare the Python Environment if you use external interpreter Jupyter Noteboook
Python version Installation
Anaconda Installation
Online Jupyter Notebook
Recap
Python cheat cheats & How to Solve Quizzes
Python Basics cheat Sheet
OOP Basics Cheat Sheet
OOP Cheat Sheet 2
How to Solve Quizzes
How to Solve MCQ Quizzes!
How to Solve Coding Quizzes!
Section Three : 100 Python MCQ
Introduction
MCQ (1-100)
Numbers & String Method in Python Quizzes
Introduction
Coding Exercise(1)
Coding Exercise(2)
Coding Exercise(3)
Coding Exercise(4)
Coding Exercise(5)
Coding Exercise(6)
Coding Exercise(7)
Coding Exercise(8)
Coding Exercise(9)
Coding Exercise(10)
Coding Exercise(11)
List in Python Quizzes
Coding Exercise(12)
Coding Exercise(13)
Coding Exercise(14)
Coding Exercise(15)
Coding Exercise(16)
Coding Exercise(17)
Coding Exercise(18)
Coding Exercise(19)
Coding Exercise (20)
Coding Exercise(21)
Dictionaries in Python Quizzes
Coding Excercise(22)
Coding Exercise(23)
Coding Exercise(24)
Coding Exercise(25)
Coding Exercise(26)
Coding Exercise(27)
Coding Exercise(28)
Coding Exercise(29)
Coding Exercise(30)
Coding Exercise(31)
Coding Exercise(32)
Coding Exercise (33)
Coding Exercise (34)
Coding Exercise(35)
Coding Exercise(36)
Coding Exercise(37)
Coding Exercise(38)
Coding Exercise(39)
Coding Exercise (40)
Coding Exercise (41)
Coding Exercise(42)
Coding Exercise(43)
Coding Exercise(44)
Coding Exercise(45)
Coding Exercise(46)
Coding Exercise(47)
Coding Exercise(48)
Coding Exercise(49)
Coding Exercise (50)
Coding Exercise (51)
Coding Exercise (52)
Control Flow in Python Quizzes
Coding Exercise (53)
Coding Exercise (54)
Coding Exercise (55)
Coding Exercise (56)
Coding Exercise (57)
Coding Exercise (58)
Coding Exercise (59)
Coding Exercise (60)
Coding Exercise (61)
Coding Exercise (62)
Coding Exercise (63)
Coding Exercise (64)
Coding Exercise (65)
Coding Exercise (66)
Functions in Python Quizzes
Coding Exercise (67)
Coding Exercise (68)
Coding Exercise (69)
Coding Exercise (70)
Coding Exercise (71)
Coding Exercise (72)
Coding Exercise (73)
Coding Exercise (74)
Coding Exercise (75)
Coding Exercise (76)
Coding Exercise (77)
Coding Exercise (78)
Coding Exercise (79)
Coding Exercise (80)
Coding Exercise (81)
Coding Exercise (82)
Coding Exercise (83)
Coding Exercise (84)
Coding Exercise (85)
Loops in Python Quizzes
Coding Exercise (86)
Coding Exercise (87)
Coding Exercise (88)
Coding Exercise (89)
Coding Exercise (90)
Coding Exercise (91)
File & Exception in Python Quizzes
Coding Exercise (92)
Coding Exercise (93)
Coding Exercise (94)
OOP in Python Quizzes
Coding Exercise (95)
Coding Exercise (96)
Coding Exercise (97)
Coding Exercise (98)
Coding Exercise (99)
Coding Exercise (100)
Section Six : Python Career Advise
How to land a job in tech as a Python developer.
Section Seven : Conclusion
Bonus Lecture