Welcome to the Excellent Python 3 Bootcamp For Absolute Beginners In 2023- The Complete Python Pro Bootcamp, the only course you need to learn to code with Python.
If you spend daily half an hour or one hour then you will master Python 3.x & become an excellent coder in Python 3.x
This Python course is without a doubt the most comprehensive Python course available anywhere online. Even if you have zero programming experience, this course will take you from beginner to professional. Here’s why:
- The course is fully explained with practical proof not just with the theoretical explanation.
- The course has been updated to be 2023 ready and you’ll be learning the latest tools and technologies used at large companies such as Apple, Google and Netflix.
- This course doesn’t cut any corners, there are beautiful hand highlighted explanation videos and tens of real-world projects which you will get to build.
- The curriculum was developed over a period of 2 years, with comprehensive student testing and feedback.
- We’ve taught over 200,000 students how to code and many have gone on to change their lives by becoming professional developers or starting their own tech startup.
- The course is constantly updated with new content, with new projects and modules determined by students – that’s you!
We’ll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a Python developer.
The course includes HD video tutorials and builds your programming knowledge while making real-world Python projects.
Throughout this comprehensive course, we cover a massive amount of tools and technologies, including:
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- Python 3 – the latest version of Python
- Python IDLE, Jupyter Notebook, Spyder, Anaconda & Thonny
- Python Scripting and Coding
- Python Code Development
To Be Updated Very Soon
- Data Science
- Pandas
- NumPy
- Matplotlib
- Seaborn
By the end of this course, you will be fluently programming in Python and you’ll be so good at Python that you can get a job or use the language professionally.
Sign up today, and look forward to:
- Video Lectures
- Code Challenges and Exercises
- Fully Fledged Projects
- Quizzes
- Programming Resources and Cheat sheets
- Downloads
Don’t just take my word for it, check out what existing students have to say about my courses:
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So what are you waiting for? Click the buy now button and join the world’s highest-rated Coding Language Python Course.
Introduction And Installation
Setup And Installation Using Python Software Foundation
Installing Using Anaconda Individual Distribution
Key Concepts On Computer & Programming Language
Working With IDLE
Variables, Expressions and Statements
Training Materials
Values & Variables
Identifiers & Reserved Keywords
PEMDAS Rule & Arithmetic Operations
What Are Inputs Comments & Mnemonics?
Basic Data Types & Code Blocks
Introduction To Basic Data Types In Python
Code Blocks In Python & Their Importance
Basic Operators In Python
Arithmetic, Comparison & Assignment Operators
Logical, Membership & Identity Operators
More On Expressions & Arithmetic Operators Part-1
More On Expressions & Arithmetic Operators Part-2
Operator Precedence & More On Expressions
Errors In Python In Brief
Syntax Errors In Python In Brief
Runtime & Logical Errors In Python In Brief
Control Flows Or Decision Making Statements Part-1
Control Flows Introduction
Simple “if” Statement & Example
Boolean Expressions As Python Statements
Simple ‘if-else’ Statements Introduction
Control Flows Or Decision Making Statements Part-2
Compound Boolean Expressions & Operator Precedence
Pass Statement & Floating Point Equality
Nested ‘if-else’ Conditionals
Multi-Way Vs Sequential ‘if-else’ Conditionals
Conditional Expressions
Errors In Conditional Statements
Logic Complexity
Iterations ( Or Loops ) In Python
While Loop Introduction
While Loop Examples
Definite & Indefinite While Loops
Introduction To For Loop
Real Life Examples Of For Loop
How To Construct The Nested For Loops
Abnormal Loop Termination Part-1
Abnormal Loop Termination Part-2
How To Use While Else & For Else In Loops?
Manually Constructing & Natural Infinite Loops
Strings In Python
Strings Introduction – 01
How To Construct String Objects & Apply String Methods – 02
Strings Methods Continued – 03
Strings Methods Continued – 04
Strings Methods Continued – 05
Strings Methods Continued – 06
Numbers In Python
Numbers Introduction – 01
Arithmetic Operations On ‘int’ Values – 02
Additional Methods In ‘int’ Values – 03
Floating Point Numbers Introduction & Usage Of ‘help’ & ‘dir’ On Them -04
Methods & Attributes Available On Floating Point Numbers – 05
Working With Basic Methods On Floating Point Numbers – 06
Complex Numbers & Their Methods – 07
Lists In Python
Lists Introduction & Getting Help On Lists
Accessing List Elements Using Index & Slicing Methods
Nested Or Multi-Dimensional Lists
Accessing Multi-Dimensional List Elements
Printing The Range Of Values From Lists
Built-In List Methods
Built-In Math Functions On Lists
List Comprehension & Its Importance With Examples
Tuples In Python
How To Construct Tuples In Python
Working On Tuples Methods & Attributes
Indexing, Slicing & Checking For Updating Tuples Practically
Sets In Python
Introduction & Creating Sets
Sets Methods Or Operations
Important Questions Asked On Sets
What Are Frozen Sets & How They Work?
Sets Operations Continued
How To Get Information From Sets?
Sets Operations Assignment
Sets Operations Using Mathematical & Logical Symbols
Relational Operators In Sets
Built-In Python Functions On Sets
Dictionaries In Python
Introduction To Dictionaries In Python
Different Ways To Create Dictionaries In Python
Dictionary Methods
Adding Elements To The Dictionaries One At A Time
Accessing Elements Of A Dictionary Using Key As Index Position
Functions In Python
Functions Introduction
User Defined Functions & Their Creation
Creating Functions With & Without Parameters
Doc Strings In Python & How They Have Been Used In Functions & Classes
How Return Statement Returns Single & Multiple Values From Functions?
How Does User Defined Function Work In Python?
Global Variables In Functions & Their Importance
Function Arguments (Positional, Keyword, Default & Variable Length) Part-1
Function Arguments (Positional, Keyword, Default & Variable Length) – Part-2
Built-In & User Defined Modules In Python
Modules Introduction
How To Create A Module To Reuse Again & Again?
Use Of ‘dir’ Function & Built-In Functions Available In Python
Working With The Built-In ‘os’ Module
How To Use The Random Module To Generate Different Random Numbers?
How To Use “setstate” & “getstate” Methods On Random Module?
Packages In Python
How To Create Package Using ‘__init__.py’ Empty File In Python?
How To Import Packages, Modules & Functions From The Packages?
Importance Of ‘__init__.py’ File In Packages?
Creating Installable Package On Local Machine – Step By Step Practical Work
File Handling In Python
File Handling Introduction
How To Read & Write Existing Or New Files In Python?
File Handling ‘seek’, ‘tell’, ‘close’, ‘open’, ‘readline’ & ‘readlines’ etc.
File Operations Using Built-In ‘os’ Module
File Handling Using ‘with’ Method
Errors & Exceptions In Python
Errors & Exceptions Introduction
Different Types Of Exceptions In Python
Built-In Exceptions Continued
Handling Errors & Exceptions Using Simple ‘try & except’ Block
Handling Multiple Exceptions In Single ‘try & except’ Block & Use Finally Block
Raise & Finally Keywords In ‘try & except’ Blocks
