The 2024 Data & Cloud Mastery Course Bundle
What's Included
Efficient Coding in Python
- Experience level required: All levels
- Access 73 lectures & 15 hours of content 24/7
- Length of time users can access this course: Lifetime
Course Curriculum
73 Lessons (15h)
Your First Program
Google Colab
Google Colab - Part 117:36Google Colab - Part 24:43How to read a file in Google Colab
How to read a file in Google Colab4:51Anaconda Installation
Anaconda Installation - 6: 53How to read a file in Jupyter Notebook
How to read a file in Jupyter Notebook3:57Introduction to Sets
Introduction to Sets6:23Introduction to Lists
Introduction to Lists6:37Introduction to Dictionaries
Introduction to Dictionaries9:01Introduction to Recursion
Introduction to Recursion4:19Introduction to Tuples
Introduction to Tuples6:18Introduction to Web Scrapping
Introduction to Web Scrapping16:42Accessing Arrays
Accessing Arrays6:36Accessing and Methods in Tuples
Accessing and Methods in Tuples7:26Accessing Dictionaries
Accessing Dictionaries4:45Accessing Lists
Accessing Lists8:03Axis-Wise Operations
Axis-Wise Operations4:56Beautiful Soup Introduction and Explanation
Beautiful Soup Introduction and Explanation20:37Beautiful Soup GetElementsBy Id and Multiple Tag
Beautiful Soup GetElementsBy Id and Multiple Tag - Part 110:23Beautiful Soup GetElementsBy Id and Multiple Tag - Part 226:53Beautiful Soup GetElementsBy Id and Multiple Tag - Part 316:24Beautiful Soup GetElementsBy Id and Multiple Tag - Part 415:32Boolean Indexing
Boolean Indexing5:17Break and Continue Statement
Break and Continue Statement9:58Broadcasting and Stacking
Broadcasting and Stacking9:14Classes & Instances
Classes & Instances10:17Classes & Instances Creation
Classes & Instances Creation12:13Conditionals
Conditionals8:18Constructors or Instantiators
Constructors or Instantiators8:32Creating Arrays
Creating Arrays9:25Creating Dictionaries
Creating Dictionaries8:44Creating Lists
Creating Lists8:48Creating Sets
Creating Sets4:07Creating Tuples
Creating Tuples4:57Data Structures - Scalars, Vectors, and Matrix
Data Structures - Scalars, Vectors, and Matrix10:41Data Structures
Data Structures6:52Data Types - Integer
Data Types - IntegerData Types - Boolean
Data Types - Boolean7:37Data Types - Float
Data Types - Float5:19Data Types - String
Data Types - String11:28Elementwise Operations
Elementwise Operations6:42Else & Elif Statement
Else & Elif Statement8:52Expression Evaluation
Expression Evaluation12:39For Loop with Range
For Loop with Range11:06For Loop with Variables
For Loop with Variables6:28Functions
Functions10:13Functions in Numpy
Functions in Numpy8:55Functions with Arguments
Functions with Arguments8:09Functions with Multiple Arguments
Functions with Multiple Keyword Arguments8:53Functions without Arguments
Functions without Arguments9:14If Statements
If Statements8:31Indexing and Slicing In Strings
Indexing and Slicing In Strings13:54Inheritance
Inheritance8:28Input, Output and Formatting
Input, Output and Formatting11:14Jupyterv2
Jupyterv25:33Logical Operations in Conditionals
Logical Operations in Conditionals11:20Loops
Loops5:02Methods In Dictionaries
Methods In Dictionaries14:00Methods In List
Methods In List - Part 113:06Methods In List - Part 210:11Methods In Sets
Methods In Sets - Part 18:26Methods In Sets - Part 27:29Nested If Statements
Nested If Statements14:03Numerical Python
Numerical Python6:17Polymorphism
Polymorphism7:17PyMySQL Introduction
PyMySQL Introduction10:56PyMySQL
PyMySQL - Part 142:19PyMySQL - Part 251:25PyMySQL - Part 340:34Python Request Library
Python Request Library10:45Python Properties and Applications
Python Properties and Applications18:08Recursion - Summation Function Part 1
Recursion - Summation Function Part 15:13Recursionipynb - Summation Function Part 2
Recursionipynb - Summation Function Part_24:58Recursion- Base Case
Recursion- Base Case5:13Regular Expressions
Regular Expressions34:45Scope of a Function
Scope of a Function7:08Single and Multi-Line Commenting
Single and Multi-Line Commenting6:51String Access Using Loops
String Access Using Loops7:14The Self Method
The Self Method6:09Understanding Programming
Understanding Programming15:18Variables and Values
Variables and Values9:42While
While8:46Quiz
Quiz
Efficient Coding in Python
GreyCampus | EdTech Platform
GreyCampus helps people power their careers through skills and certifications. They strongly advocate for continuous upskilling and the acquisition of certifications as crucial to maintaining long-term success in one's career. As older skills rapidly lose relevance, the demand for newer, sought-after skills is rapidly increasing. GreyCampus firmly believes that staying skilled will keep you ahead in your career.
Description
Master Python Techniques for Efficient Programming
This course is designed to help you master the art of writing optimized and elegant Python code. You’ll start by learning the basics, such as using Python IDEs and understanding fundamental programming concepts like data types, conditional statements, and loops. As you advance, you'll explore functions, recursion, regular expressions, and data structures. The course also covers arrays and introduces you to the powerful NumPy library, ensuring you have the tools to apply efficient coding techniques in real-world Python projects.
What you'll learn
- Access 73 lectures & 15 hours of content 24/7
- Learn file handling in Google Colab and Jupyter Notebook
- Install and set up Anaconda for Python development
- Master Python data structures: lists, dictionaries, sets, and tuples
- Understand recursion and apply it in real-world coding scenarios
- Perform web scraping with Beautiful Soup
- Explore advanced Python features: boolean indexing, broadcasting, and stacking
- Master control flow with conditionals, loops, and recursion
- Dive into object-oriented programming: classes, instances, and inheritance
- Use PyMySQL for database management in Python
- Perform operations using NumPy for numerical computing
- Work with regular expressions, string manipulation, and functional programming
Who is this course for
- Anyone looking to learn Python from scratch or enhance their existing skills
- Anyone interested in mastering data structures and algorithms in Python
- Anyone who wants to explore web scraping and database management using Python
Specs
Important Details
- Length of time users can access this course: lifetime
- Access options: desktop & mobile
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- Certificate of Completion ONLY
- Updates included
- Closed captioning NOT available
- NOT downloadable for offline viewing
- Have questions on how digital purchases work? Learn more here
Requirements
-
No prior programming experience is required, but familiarity with basic concepts may be helpful
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Terms
- Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.