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Master in python programming language(Zero to hero)

Master python by learning concepts , doing programs and making wonderful python projects including apps and games
3.6
3.6/5
(100 reviews)
10,800 students
Created by

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CourseMarks Score®

10.0

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6.3

Feedback

8.2

Content

Platform: Udemy
Video: 10h 2m
Language: English
Next start: On Demand

Table of contents

Description

The Python language is EASY to learn, yet POWERFUL.
YouTube, Dropbox, Google, Instagram, Spotify, Reddit, Netflix, Pinterest – they are all developed using Python.
Learning Python opens up the possibilities of a whole new career in Data Science, Machine Learning, Artificial Intelligence etc.
The course is presented in an easy to follow format with slides and programs.
I put in my very BEST to make it as easy to understand as possible for EVERYONE !
In this course you will get to learn from the very basics of python to an advance level concepts of python with the help of several programs and some python projects. So this program is basically designed for the people who do not have any prior knowledge of any programming language and designed for the one’s who already have a programming background and want to switch there career towards the python programming language. This is a course which will help the people in interviews also because the small-small concepts where people lack in python , I have covered all those concepts in this course.
I have started form the very beginning that why you should learn python, why people prefer python , how to use environments etc. till the concepts of Object oriented programming language and at last covered three projects which will help you in building your logic and concept that how to make a project in python and how to build your logic towards python programming language.
The projects will be consisting of all the concepts which you have learned in tis python course and I will be telling you how to implement the python concepts for making some easy and wonderful projects. And you will also be learning about some libraries in python with the help of the python projects discussed in this course.
This course covers all the following concepts theoretically and practically:
•Environments used
•Process of programming
•Advantages of using python
•Types of operators
•Types of error
•User input
•Keywords and identifiers
•Datatypes and typecasting
•String and it’s functions
•Lists and it’s functions
•Tuples and it’s functions
•Dictionaries and it’s functions
•if else and elif condition
•for loop
•while loop
•functions and docstrings
•f-strings
•if __name__ == “__main__”(main function)
•File handling or I/O functions
•Classes and objects
•Inheritance
•Project 1: Make a quiz game
•Project 2: Making a guessing number game
•Project 3: Making an app of library management system for college

You will learn

✓ This course will help you gain a Solid & Unforgettable Understanding of the Python Programming Language.
✓ In this course students will get to learn python programming language from the scratch to the advance level through the help of programming and python projects
✓ This course will help you gain the Python Skills Necessary to Learn In-Demand Topics, such as Data Science, Web Development, AI and more.
✓ You will be able to use Object-Oriented Programming (An Industry-Standard Coding Technique) to Write High Quality Python Code.
✓ This course will help you create Your Own Custom Python Functions to Simplify Your Code
✓ You will be able to use Loops in Python to Improve Code Efficiency and Maximize Your Productivity.
✓ This course will help you make wonderful games and apps in python

Requirements

• No , anyone can learn this course

This course is for

• Python job seekers
• Python developers curious to go in data science
• Beginners in python
• Anyone who wants to learn python programming
Python Programmer
Hello Everyone, My name is Shambhavi Gupta , data science enthusiast. I have a good command on python programming language and presently I am working as an Educationalist/ mentor of python for different tech companies. Other than that I have a good command over statistics for data science, libraries for data science like Numpy, Pandas, Seaborn etc.
Platform: Udemy
Video: 10h 2m
Language: English
Next start: On Demand

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