100 Days of Code: A Challenging Complete Python Pro Bootcamp
100 Days of Code: A Challenging Complete Python Pro Bootcamp, available at $54.99, has an average rating of 4.26, with 108 lectures, based on 179 reviews, and has 27702 subscribers.
You will learn about You will master the Python programming language by building several unique projects. You will be able to program in Python professionally Be able to use Python for data science and machine learning Build GUIs and Desktop applications with Python You will learn Pandas, NumPy and Matplotlib. This course is ideal for individuals who are If you want to learn to code from scratch through building fun and useful projects, then take this course. or If you are a complete beginner then this course will be everything you need to become a Python professional or If you are a seasoned programmer wanting to switch to Python then this is the quickest way. Learn through coding projects. or If you are an intermediate Python programmer then course will help you level up to an advanced level. It is particularly useful for If you want to learn to code from scratch through building fun and useful projects, then take this course. or If you are a complete beginner then this course will be everything you need to become a Python professional or If you are a seasoned programmer wanting to switch to Python then this is the quickest way. Learn through coding projects. or If you are an intermediate Python programmer then course will help you level up to an advanced level.
Enroll now: 100 Days of Code: A Challenging Complete Python Pro Bootcamp
Summary
Title: 100 Days of Code: A Challenging Complete Python Pro Bootcamp
Price: $54.99
Average Rating: 4.26
Number of Lectures: 108
Number of Published Lectures: 108
Number of Curriculum Items: 108
Number of Published Curriculum Objects: 108
Original Price: ₹799
Quality Status: approved
Status: Live
What You Will Learn
- You will master the Python programming language by building several unique projects.
- You will be able to program in Python professionally
- Be able to use Python for data science and machine learning
- Build GUIs and Desktop applications with Python
- You will learn Pandas, NumPy and Matplotlib.
Who Should Attend
- If you want to learn to code from scratch through building fun and useful projects, then take this course.
- If you are a complete beginner then this course will be everything you need to become a Python professional
- If you are a seasoned programmer wanting to switch to Python then this is the quickest way. Learn through coding projects.
- If you are an intermediate Python programmer then course will help you level up to an advanced level.
Target Audiences
- If you want to learn to code from scratch through building fun and useful projects, then take this course.
- If you are a complete beginner then this course will be everything you need to become a Python professional
- If you are a seasoned programmer wanting to switch to Python then this is the quickest way. Learn through coding projects.
- If you are an intermediate Python programmer then course will help you level up to an advanced level.
Welcome to the “100 Days of Code: A Challenging Complete Python Pro Bootcamp”, in 2024, 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 comprehensivePython course available anywhere online. Even if you have zero programming experience, this course will take you from beginner to professional. Here’s why:
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The course is fully explained with practical proof not just with the theoretical explanation.
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The course has been updated to be 2024 readyand you’ll be learning the latest tools and technologies used at large companies such as Apple, Google and Netflix.
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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.
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The curriculum was developed over a period of 2 years, with comprehensive student testing and feedback.
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We’ve taught over 200,000 students how to code and many have gone on to change their livesby becoming professional developers or starting their own tech startup.
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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. This course is especially created for Beginners with absolute no coding knowledge of any region or territerry.
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
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Python IDLE, Jupyter Notebook, Spyder, Anaconda & Thonny
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Python Scripting and Coding
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Python Code Development
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Data Science Skills With Python Basics
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Data Analysis Skills With Strings, Lists, Tuples, Dictionaries
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File Handling
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Errors and Exceptions
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Lists
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Tuples
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Dictionaries
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Sets
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Strings Usage
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Numbers In Detail
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Decision Making Control Flows
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All types of Functions
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User Defined Functions
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Variables In Functions
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Packages In Python
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Modules
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Creating Installable Modules In Python
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How To Create Package Using ‘__init__ . py’ Empty File In Python?
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Importance of ‘__init__ . py’ Empty File In Python?
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Working With The Built-In ‘os’ Module
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Function Arguments (Positional, Keyword, Default & Variable Length)
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Manually Constructing & Natural Infinite Loops
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Handling Multiple Exceptions In Single ‘try & except’ Block & Use Finally Block
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How To create your own projects In Spyder
To Be Updated Very Soon
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Data Science
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Pandas
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NumPy
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Matplotlib
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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:
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Video Lectures
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Code Challenges and Exercises
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Fully Fledged Projects
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Quizzes
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Programming Resources and Cheat sheets
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Downloads
Don’t just take my word for it, check out what existing students have to say about my courses:
REMEMBER… I’m so confident that you’ll love this course that we’re offering a FULL money-back guarantee for 30 days! So it’s a complete no-brainer, sign up today with ZERO risk and EVERYTHING to gain.
Course Image Portion By: freepik[dot][com]
So what are you waiting for? Click the buy now button and join the world’s highest-rated Coding Language Python Course.
Course Curriculum
Chapter 1: Introduction And Installation
Lecture 1: Setup And Installation Using Python Software Foundation
Lecture 2: Installing Using Anaconda Individual Distribution
Lecture 3: Key Concepts On Computer & Programming Language
Lecture 4: Working With IDLE
Chapter 2: Variables, Expressions and Statements
Lecture 1: Training Materials
Lecture 2: Values & Variables
Lecture 3: Identifiers & Reserved Keywords
Lecture 4: PEMDAS Rule & Arithmetic Operations
Lecture 5: What Are Inputs Comments & Mnemonics?
Chapter 3: Basic Data Types & Code Blocks
Lecture 1: Introduction To Basic Data Types In Python
Lecture 2: Code Blocks In Python & Their Importance
Chapter 4: Basic Operators In Python
Lecture 1: Arithmetic, Comparison & Assignment Operators
Lecture 2: Logical, Membership & Identity Operators
Lecture 3: More On Expressions & Arithmetic Operators Part-1
Lecture 4: More On Expressions & Arithmetic Operators Part-2
Lecture 5: Operator Precedence & More On Expressions
Chapter 5: Errors In Python In Brief
Lecture 1: Syntax Errors In Python In Brief
Lecture 2: Runtime & Logical Errors In Python In Brief
Chapter 6: Control Flows Or Decision Making Statements Part-1
Lecture 1: Control Flows Introduction
Lecture 2: Simple "if" Statement & Example
Lecture 3: Boolean Expressions As Python Statements
Lecture 4: Simple 'if-else' Statements Introduction
Chapter 7: Control Flows Or Decision Making Statements Part-2
Lecture 1: Compound Boolean Expressions & Operator Precedence
Lecture 2: Pass Statement & Floating Point Equality
Lecture 3: Nested 'if-else' Conditionals
Lecture 4: Multi-Way Vs Sequential 'if-else' Conditionals
Lecture 5: Conditional Expressions
Lecture 6: Errors In Conditional Statements
Lecture 7: Logic Complexity
Chapter 8: Iterations ( Or Loops ) In Python
Lecture 1: While Loop Introduction
Lecture 2: While Loop Examples
Lecture 3: Definite & Indefinite While Loops
Lecture 4: Introduction To For Loop
Lecture 5: Real Life Examples Of For Loop
Lecture 6: How To Construct The Nested For Loops
Lecture 7: Abnormal Loop Termination Part-1
Lecture 8: Abnormal Loop Termination Part-2
Lecture 9: How To Use While Else & For Else In Loops?
Lecture 10: Manually Constructing & Natural Infinite Loops
Chapter 9: Strings In Python
Lecture 1: Strings Introduction – 01
Lecture 2: How To Construct String Objects & Apply String Methods – 02
Lecture 3: Strings Methods Continued – 03
Lecture 4: Strings Methods Continued – 04
Lecture 5: Strings Methods Continued – 05
Lecture 6: Strings Methods Continued – 06
Chapter 10: Numbers In Python
Lecture 1: Numbers Introduction – 01
Lecture 2: Arithmetic Operations On 'int' Values – 02
Lecture 3: Additional Methods In 'int' Values – 03
Lecture 4: Floating Point Numbers Introduction & Usage Of 'help' & 'dir' On Them -04
Lecture 5: Methods & Attributes Available On Floating Point Numbers – 05
Lecture 6: Working With Basic Methods On Floating Point Numbers – 06
Lecture 7: Complex Numbers & Their Methods – 07
Chapter 11: Lists In Python
Lecture 1: Lists Introduction & Getting Help On Lists
Lecture 2: Accessing List Elements Using Index & Slicing Methods
Lecture 3: Nested Or Multi-Dimensional Lists
Lecture 4: Accessing Multi-Dimensional List Elements
Lecture 5: Printing The Range Of Values From Lists
Lecture 6: Built-In List Methods
Lecture 7: Built-In Math Functions On Lists
Lecture 8: List Comprehension & Its Importance With Examples
Chapter 12: Tuples In Python
Lecture 1: How To Construct Tuples In Python
Lecture 2: Working On Tuples Methods & Attributes
Lecture 3: Indexing, Slicing & Checking For Updating Tuples Practically
Chapter 13: Sets In Python
Lecture 1: Introduction & Creating Sets
Lecture 2: Sets Methods Or Operations
Lecture 3: Important Questions Asked On Sets
Lecture 4: What Are Frozen Sets & How They Work?
Lecture 5: Sets Operations Continued
Lecture 6: How To Get Information From Sets?
Lecture 7: Sets Operations Assignment
Lecture 8: Sets Operations Using Mathematical & Logical Symbols
Lecture 9: Relational Operators In Sets
Lecture 10: Built-In Python Functions On Sets
Chapter 14: Dictionaries In Python
Lecture 1: Introduction To Dictionaries In Python
Lecture 2: Different Ways To Create Dictionaries In Python
Lecture 3: Dictionary Methods
Lecture 4: Adding Elements To The Dictionaries One At A Time
Lecture 5: Accessing Elements Of A Dictionary Using Key As Index Position
Chapter 15: Functions In Python
Lecture 1: Functions Introduction
Lecture 2: User Defined Functions & Their Creation
Lecture 3: Creating Functions With & Without Parameters
Lecture 4: Doc Strings In Python & How They Have Been Used In Functions & Classes
Lecture 5: How Return Statement Returns Single & Multiple Values From Functions?
Lecture 6: How Does User Defined Function Work In Python?
Lecture 7: Global Variables In Functions & Their Importance
Instructors
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Pruthviraja L
Software Trainer and Lead Instructor – Team UpGraduate
Rating Distribution
- 1 stars: 4 votes
- 2 stars: 4 votes
- 3 stars: 20 votes
- 4 stars: 68 votes
- 5 stars: 83 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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