A course to begin your Python Programming Journey with a boom. The week-long regular classes will help you in laying the correct foundation and do side-utility projects along with writing basic algorithms.
How exciting would it be for you to learn a language that does not require a variable to be of the same type every time throughout the program? Well, this is how dynamically typed languages work. Python is an in-demand language due to its versatility and availability of different libraries that together do almost every task. We invite you to a week-long Bootcamp where you will get to know about Python from Scratch.
In the ‘Course Structure’ section, you will find the details about the course curriculum that we will be following for you to gain maximum from it. We are 100% sure that the course is sequenced in an inter-related manner to help a person who is not even in from the coding background in developing a good foundation for programming. This course will let you know how Python Programming can be considered as a skill rather than just a programming and Machine Learning language.
Thus, this Bootcamp is really a cost-efficient and significant product from Edudictive.
No prerequisite, anyone can learn through this Bootcamp who wants to grow fast.
Dynamically Typed Languages Introduction
Overview of the bootcamp
Practical Uses of the language
Comments and Indentation
Writing first program in Python
Basic Data Types
If-else statements and their significance
Entry & Exit Control Loops
Pre-Defiined Functions and Libraries
Library Used in this
Installation of different libraries
Introduction of Numpy and Pandas
Data Analysis in MS–Excel v/s Data Analytics in Python
Introduction of Scikit learn and Matplotlib
Installation of libraries
Application in Real life
Why is Web Scraping used?
Why is Python good for web scraping?
Libraries used for Web Scraping
Web Scraping example – Scraping Flipkart Website
I/O for Numpy Arrays
I/O for Arrays in other formats
I/O for Pandas DataFrames
Reading CSV- formatted data into DataFrames
Reading MS-Excel spreadsheets into DataFrames
You will have: