This plan includes
- Limited free courses access
- Play & Pause Course Videos
- Video Recorded Lectures
- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Email & Chat Support
What you'll learn?
- From basic python 3+ programming foundations to learn about every basic Python topic
- Learn to code python from scratch
- Coding fundamentals using python programming
- Setting local python coding environment to create your own coding practices
- Variables, Statements, Operators and Sequences you will Code
- Learn how to work with Control flow statements
- File structure to how to handle unstructured data files
Course Overview
Python is a beautiful cross-platform language that can be used to build a variety of applications. With Python language, you can create web apps, data science, robot, iot, ai, analytics, games, websites, and desktop applications.
Pre-requisites
- No programming experience needed. You will learn everything you need to know
- There are no other requirements, besides getting started!
- Access to a computer with an internet connection
Target Audience
- Beginners who have never coding before.
- Programmers with experience in other languages who want to kickstart their Python programming.
- Developers who know some Python but want to power their skills and become truly proficient.
Curriculum 114 Lectures 06:04:18
-
Section 1 : Introduction
- Lecture 2 :
- Course Curriculum
- Lecture 3 :
- How to get Pre-requisites
- Lecture 4 :
- Getting Started on Windows, Linux or Mac
- Lecture 5 :
- How to ask Great Questions
- Lecture 6 :
- FAQ’s
-
Section 2 : Introduction to Python and Setting Up
- Lecture 1 :
- Introduction to Python
- Lecture 2 :
- Python vs Other Languages
- Lecture 3 :
- Why Its Popular
- Lecture 4 :
- Command Line Basics
- Lecture 5 :
- Python Installation (Step By Step)
- Lecture 6 :
- PyCharm IDE Installation
- Lecture 7 :
- Getting Start PyCharm IDE
- Lecture 8 :
- First Python Hello World Program
- Lecture 9 :
- Assessment Test1
- Lecture 10 :
- Solution for Assessment Test1
- Lecture 11 :
- Summary
-
Section 3 : PythonBasic
- Lecture 1 :
- a. Introduction
- Lecture 2 :
- b. Variables
- Lecture 3 :
- c. Data Types
- Lecture 4 :
- d. Type Casting
- Lecture 5 :
- e. User Inputs
- Lecture 6 :
- f. Comments
- Lecture 7 :
- g. Assessment Test2
- Lecture 8 :
- h. Solution for Assessment Test2
- Lecture 9 :
- i. Summary
-
Section 4 : Python Strings
- Lecture 1 :
- a. Introduction
- Lecture 2 :
- b. Strings
- Lecture 3 :
- c. String Indexing
- Lecture 4 :
- d. String Slicing
- Lecture 5 :
- e. String Built-in Functions
- Lecture 6 :
- f. Formatting String (Dynamic Data)
- Lecture 7 :
- g. Assessment Test3
- Lecture 8 :
- h. Solution for Assessment Test3
- Lecture 9 :
- i. Summary
-
Section 5 : Python Operators
- Lecture 1 :
- a. Introduction
- Lecture 2 :
- b. Arithmetic Operators
- Lecture 3 :
- c. Assignment Operators
- Lecture 4 :
- d. Comparison Operators
- Lecture 5 :
- e. Logical Operators
- Lecture 6 :
- f. AND Operator
- Lecture 7 :
- g. OR Operator
- Lecture 8 :
- h. NOT Operatord
- Lecture 9 :
- i. Booleans
- Lecture 10 :
- j. Assessment Test4
- Lecture 11 :
- k. Solution for Assessment Test4
- Lecture 12 :
- l. Summary
-
Section 6 : Python Sequences
- Lecture 1 :
- a. Introduction
- Lecture 2 :
- b. Arrays in Earler
- Lecture 3 :
- c. Lists
- Lecture 4 :
- d. Add List Items
- Lecture 5 :
- e. Remove List Items
- Lecture 6 :
- f. Sort Lists
- Lecture 7 :
- g. Join Lists
- Lecture 8 :
- h. Tuples
- Lecture 9 :
- i. Update tuples
- Lecture 10 :
- j. Join tuples
- Lecture 11 :
- k. Dictionaries
- Lecture 12 :
- l. Add Dictionary Items
- Lecture 13 :
- m. Remove Dictionary Items
- Lecture 14 :
- n. Nested Disctionaries
- Lecture 15 :
- o. Sets
- Lecture 16 :
- p. Add Set Items
- Lecture 17 :
- q. Remove Set Items
- Lecture 18 :
- r. Join Set Items
- Lecture 19 :
- s. Assessment Test5
- Lecture 20 :
- t. Solution for Assessment Test5
- Lecture 21 :
- u. Summary
-
Section 7 : Python Statements
- Lecture 1 :
- a. Introduction
- Lecture 2 :
- b. If Statement
- Lecture 3 :
- c. If-else Statement
- Lecture 4 :
- d. If-elif-else Statement
- Lecture 5 :
- e. If Statement Coding Excercise
- Lecture 6 :
- f. Assessment Test6
- Lecture 7 :
- g. Solution for Assessment Test6
- Lecture 8 :
- h. Summary
-
Section 8 : Python Control Flow Statements
- Lecture 1 :
- a. Introduction
- Lecture 2 :
- b. Flow Charts
- Lecture 3 :
- c. While Loops Statement
- Lecture 4 :
- d. For Loops Statement
- Lecture 5 :
- e. Loop through a String
- Lecture 6 :
- f. The Break Statement
- Lecture 7 :
- g. The Continue Statement
- Lecture 8 :
- h. The range() Function
- Lecture 9 :
- j. 2D List using Nested Loop
- Lecture 10 :
- k. Assessment Test7
- Lecture 11 :
- l. Solution for Assessment Test7
- Lecture 12 :
- m. Summary
- Lecture 13 :
- i. Nested Loops
-
Section 9 : Python Games for Beginners
- Lecture 1 :
- a. Introduction
- Lecture 2 :
- b. Guessing Game
- Lecture 3 :
- c. Car Game
- Lecture 4 :
- d. Summary
-
Section 10 : Python Functions
- Lecture 1 :
- a. Introduction
- Lecture 2 :
- b. Creating a Function
- Lecture 3 :
- c. Calling a Function
- Lecture 4 :
- d. Function with Arguments
- Lecture 5 :
- e. *args, Arbitary Arguments
- Lecture 6 :
- f. **kwargs, Arbitary Keyword Arguments
- Lecture 7 :
- g. Summary
-
Section 11 : Working with File Structure
- Lecture 1 :
- a. Introduction
- Lecture 2 :
- b. Reading Files
- Lecture 3 :
- c. Creating / Writing Files
- Lecture 4 :
- d. Delete Files
- Lecture 5 :
- e. Summary
-
Section 12 : Regular Expressions
- Lecture 1 :
- a. Introduction
- Lecture 2 :
- b. RegEx Module
- Lecture 3 :
- c. RegEx Functions
- Lecture 4 :
- d. Summary
-
Section 13 : PythonProject
- Lecture 1 :
- a. Introduction
- Lecture 2 :
- b. Project Overview
- Lecture 3 :
- c. ATM RealTime Project
- Lecture 4 :
- d. Summary
-
Section 14 : What’s Next?
- Lecture 1 :
- a. Bonus Lecture for What Next?
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Frequently Asked Questions
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