Let's Make Python Easy – A Comprehensive Guide to Python

Let's Make Python Easy – A Comprehensive Guide to Python, available at $19.99, has an average rating of 4.4, with 43 lectures, 9 quizzes, based on 18 reviews, and has 1196 subscribers.

You will learn about This course is designed to help learners to learn Python Easily Python PyCharm Anaconda JuPyter Data Science Machine Learning Data Analytics This course is ideal for individuals who are Beginners in Python and looking to work in Data Science or Learners looking to learn Python It is particularly useful for Beginners in Python and looking to work in Data Science or Learners looking to learn Python.

Enroll now: Let's Make Python Easy – A Comprehensive Guide to Python

Summary

Title: Let's Make Python Easy – A Comprehensive Guide to Python

Price: $19.99

Average Rating: 4.4

Number of Lectures: 43

Number of Quizzes: 9

Number of Published Lectures: 43

Number of Published Quizzes: 9

Number of Curriculum Items: 53

Number of Published Curriculum Objects: 53

Original Price: ₹1,199

Quality Status: approved

Status: Live

What You Will Learn

This course is designed to help learners to learn Python Easily
Python
PyCharm
Anaconda
JuPyter
Data Science
Machine Learning
Data Analytics

Who Should Attend

Beginners in Python and looking to work in Data Science
Learners looking to learn Python

Target Audiences

Beginners in Python and looking to work in Data Science
Learners looking to learn Python

This course is specifically designed for all learners, who are looking to get comfortable with Python programming.

This course will offer :

A gentle introduction to Python programming.
Try to generate ease of use of Jupyter Notebook
Step by step movement of levels of Python coding
Slow and easy learning pace
Not going into very complex coding at one go but going to pace up slowly

This course will start from basics and will help in installation of Python, Anaconda, JuPyter Notebook and walk through of JuPyter Notebook.

Then we will understand some basics navigations of Jupyter notebook. Next we will move to some basic operations in Python and gradually we will level up to advanced operations.

These operations includes introduction to different data types in Python, then mathematical operations, string operations, advanced string operations, if – Else, loops (for Loops), list operations, List Comprehensions, Python function & Python Lambda.

Also just to let you know that we will update the course on regular interval to ensure that you keep on moving up in your learning path.

If you are looking to transition into Python programming, Data Analytics or Data Science roles then this course will be best start you can ever have.

So now what you are waiting for ? Please go ahead and confirm your enrolment !!!

Course Curriculum

Chapter 1: Let's Make PyCharm Easy

Lecture 1: PyCharm Installation

Lecture 2: Setting-up PyCharm

Lecture 3: Your First Python Program using PyCharm

Lecture 4: Executing Python Program from Windows CMD

Chapter 2: Let's Make JuPyter Notebook & Python Coding Easy

Lecture 1: Installation of Python

Lecture 2: Installation of Anaconda

Lecture 3: Launching JuPyter NoteBook

Lecture 4: Hello World !!!

Lecture 5: Arithmetic Operations

Lecture 6: Let's Play with Different Variables

Lecture 7: Various Data Types

Lecture 8: String Operations – Part I

Lecture 9: String Operations – Part II

Lecture 10: String Operations – Part III

Lecture 11: List Operations – Part I

Lecture 12: List Operations – Part II

Lecture 13: List Operations – Part III

Lecture 14: List Comprehensions

Lecture 15: If Else – Part I

Lecture 16: If Else – Part II

Lecture 17: Loops – For Loop

Lecture 18: Functions in Python

Lecture 19: Arbitrary Arguments

Lecture 20: Lambda Functions

Lecture 21: Taking inputs from user – Part 1

Lecture 22: Taking inputs from user – Part 2

Lecture 23: Hacking by Decorators – Part 1

Lecture 24: Hacking by Decorators – Part 2

Lecture 25: Hacking by Decorators – Part 3

Lecture 26: Concat Function – Part I

Lecture 27: Concat Function – Part II

Lecture 28: Introduction to Merge Function

Lecture 29: Inner Merge Function

Lecture 30: Left Merge Function

Lecture 31: Right Merge Function

Lecture 32: Outer Merge Function

Lecture 33: Inner Merge Function – Python Implementation

Lecture 34: Outer Merge Function – Python Implementation

Lecture 35: Left & Right Merge Function – Python Implementation

Lecture 36: Join Function

Lecture 37: Introduction to Multithreading

Lecture 38: Multithreading – Demo I

Lecture 39: Multithreading – Demo II

Instructors

RPS Business Solutions
Lead Data Scientist & Artificial Intelligence Experts

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 2 votes
4 stars: 8 votes
5 stars: 8 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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