Is Python Still King? | Why is Python so Popular Anyway? | Trends That Are Affecting Python | Is Python Dead? | REAL Truth About Learning Programming Languages | How to ACTUALLY Get a Python Job
Introduction | What is iAuditor | Types of integrations | Highlevel integrations | Zapier integration | Microsoft Flow integration | SDK | Power BI | Importing Data | Example
Introduction | What You Can Do With Python | Your First Python Program | Variables | Receiving Input | Type Conversion | Strings | Arithmetic Operators | Operator Precedence | Comparison Operators | Logical Operators | If Statements | Exercise | While Loops | Lists | List Methods | For Loops | The range() Function | Tuples
Introduction | Installing Python & PyCharm | Setup & Hello World | Drawing a Shape | Variables & Data Types | Working With Strings | Working With Numbers | Getting Input From Users | Building a Basic Calculator | Mad Libs Game | Lists | List Functions | Tuples | Functions | Return Statement | If Statements | If Statements & Comparisons | Building a better Calculator | Dictionaries | While Loop | Building a Guessing Game | For Loops | Exponent Function | 2D Lists & Nested Loops | Building a Translator | Comments | Try / Except | Reading Files | Writing to Files | Modules & Pip | Classes & Objects | Building a Multiple Choice Quiz | Object Functions | Inheritance | Python Interpreter
Learning Python | BEST Python Course? | Data Structures in Python | Conditionals and Loops in Python | Defining Functions in Python | Sponsored by Coding Ninjas | Object Oriented Programming in Python | Error Handling in Python | Python Modules | Web Scraping with Python | PIL Module | Building Python Projects | FREE Python Resources | Machine Learning/Data Science in Python | Comment "I watched till the end!"
Intro | 10 Tips for Mastering PYTHON | Tip Number 2 | Tip Number 3 | Tip Number 4 | Tip Number 5 | Tip Number 6 | Tip Number 7 | Tip Number 8 | Tip Number 9 | Tip Number 10
Simplicity | Portability and Extensibility | Web Development | Computer Graphics and Game Development | Testing Frameworks | Big Data | Data Science | Machine Learning | Artificial Intelligence | Career Opportunities and Salary
Getting started with Python Tutorial | Why should you go for Python? | Python Programming Language | How to work with Jupyter Notebook? | Python Programming Fundamentals: Operators & Data Types | Python Libraries: Numpy, Pandas, Matplotlib, Seaborn
Introduction to Python | What is Python? | Features of Python | Who uses Python? | Starting off with Python Basics | Data Types | Operators | Flow Control | Functions | File Handling
Lambda Expressions | Anonymous Functions | Anonymous Functions and Lambda Expressions | Lambda Expression | A Lambda Expression with More than One Input | To Create a Lambda Expression | Use of Lambda Expressions | Build Quadratic Function
Introduction to Python for Beginners Tutorial | What is Python? | Why is Python popular | Features of python | Where is Python used in the industry | Learning path for Python Programming | Python career opportunities | Python installation | Naming conventions in Python | Variables in Python | Datatypes in python | Flow control (loops, conditional statements, loop control statements) | Conditional statements | Python Loops | Python Functions | Python data structures | Algorithms | OOPs in Python ( class, objects, methods ) | Inheritance | Polymorphism | Encapsulation | Abstraction | What are Comments in Python | Operators in Python | Variables and Datatypes | Tuples in Python | Sets in Python | Dictionary Vs List | Use Cases | Loops in Python | Functions in Python | Arrays in Python | Accessing Array Elements | Looping through an Array | Inheritence in Python | Init Function | Types of Inheritance | Exception handling in python | Process of Exception handling | Requests in Python | Cookies and Headers | Session Object | DateTime Module | Python RegEX | Regular Expression Operations | File Handling in Python | How to Connect Python with MySQL DB | Socket Programming in Python | Transferring Objects in Python | Numpy Python | Numpy Operations | Python Pandas | Plotting with Pandas | Python Matplotlib | What is Data Visualization | Python Interview Questions and Answers | Basic Python Questions | Django Questions | Web Scraping Using Python Questions
Introduction | Why program? | Why Python? | Get Python | Run code in Python terminal | Write code in a text editor like Notepad | Get an IDE like Visual Studio Code for free | Set up VS Code | Run code in VS Code | Work with numbers & operators | Work with text / strings | Comments | Variables | Conditional logic | If, elif, & else statements | Functions | While & for loops | Import libraries | Troubleshooting code. | Wrap up
Course Intro & Course Overview | Introduction to Python | Installation and Local Setup with PyCharm | Write our first Python program | Python IDE vs simple File Editor | Strings and Number Data Types | Variables in Python | Encapsulate Logic with Functions | Scope | Accepting User Input | Conditionals (if / else) and Boolean Data Type | Error Handling with Try / Except | While Loops | Lists and For Loops | Thanks JetBrains! | Comments in Python | Sets | Built-In Functions | Dictionary Data Type | Modularize your project with Modules | Project: Countdown App | Packages, PyPI and pip | Project: Automation with Python (Working with Spreadsheets) | Object Oriented Programming: Classes and Objects | Project: API Request to GitLab | Wrap Up
Learn to Code | 1. Hard Work | 2. Patterns over Syntax | 3. Stop Watching | 4. Stay Healthy | 5. Feynman Technique | 6. Dopamine Hits | 7. Not Too Hard tho | 8. Learn Like a Pro
Course Intro & Course Overview | Introduction to Python | Installation and Local Setup with PyCharm | Write our first Python program | Python IDE vs simple File Editor | Strings and Number Data Types | Variables in Python | Encapsulate Logic with Functions | Scope | Accepting User Input | Conditionals (if / else) and Boolean Data Type | Error Handling with Try / Except | While Loops | Lists and For Loops | Thanks JetBrains! | Comments in Python | Sets | Built-In Functions | Dictionary Data Type | Modularize your project with Modules | Project: Countdown App | Packages, PyPI and pip | Project: Automation with Python (Working with Spreadsheets) | Object Oriented Programming: Classes and Objects | Project: API Request to GitLab | Wrap Up
Introduction to Python | Python installation | First Python Program | Conditional Statements & Loops | While Loops Project in Python | Inheritance in Python | Functions in Python | Python Project
Intro | Langs I learned | Most useful languages to know | My point | Coding vs programming | Best starting language | What to do next | What do I build | Dunning Kruger Effect | Are Hackathons worth?
Hybrid Approach | Index Page | Preparing the Content of the Messages | What Can Be the Community Criteria or Win Condition for Internet Forum | Challenging Aspects of Building and Maintaining a Forum Platform | What Do You Have Planned for the Future of the Mesa Go Project
Intro | Part 1: Your mindset | Adopt a coding mindset | Learn how to problem solve | Part 2: Learning how to code | Learn one programming language deeply | Learn scripting | Create a personal project | Practice for interviews | Part 3: Your developer environment | Learn the terminal | Learn your way around an editor | Learn git and become familiar with version control | Congrats! | Outro
Introduction | It is easy to learn and very intuitive programming language | You can develop code really fast in python whereas with other languages it takes relatively longer time. This is so because | Rich set of libraries or modules | Used heavily in the fields of data science, machine learning and scientific computing | Plenty of job opportunities
Introduction | Programming Languages | The Essence of Python | Versatility | Popularity | Is Python Popular | Python Community | Resources | QA Session | How to find employment without a college degree | Is Python reliable | The greatest barrier | Programming languages are complex | Simplicity of Python | Importance of GitHub | Is Python enough to get hired | What is Python for
Intro | What Jobs Use Python | Data Science and Machine Learning | Backend Web Development | Database Development | Interview | Python Hell | Conclusion
Common Mistakes | Python Dev Mailing List | Source Code | Tell Your Helper What You'Ve Already Tried | Stack Overflow | Chapter 2 Environment Setup and Dealing with the Command Line
install python on windows | install python on your mobile devices | create a python script | create a fresh notebook | storing 5 and 3 into variables | cover the topics of numeric object types and type conversions | convert a string to an integer | convert this into an integer using the int | convert a string into a tuple | convert the string to a list | define a string using double quotes | enclose a numeric index within square brackets | unpack a tuple onto another tuple
Logical Type Boolean | Not Equal Operator | Passing Values to the Boolean Constructor | Strings to Boolean | Convert Boolean X'to Numbers | True or False
Overview | Python coding skills | Data structures and algorithms | Debugging skills | Using libraries wisely | Coding best practices & PEP8 | Opensource contribution | Master the art of asking for a help | Python projects, projects, projects
Intro | Fastest growing Programming Language | Python is Beginner Friendly | Python Libraries and Frameworks | Python For Data Visualization | Extensive Online Documentation | Python is Great For Scripting | Python For CyberSecurity | Python Community Support | Python Jobs in High Demand
Introduction | Python Community | Python Software Foundation | Most Demanding Programming Language | Most Popular Programming Language | Best Programming Language
Introduction to Course | Launch Colab Notebooks | How to Use Google Colab | Mounting Google Drive in Colab | Executing Python2 in Colab | Creating Variables in Python | Procedural Statements in Python | String formatting in Python | Multiplication with Decimals in Python | Converting from float to int in Python | Rounding numbers with Python | Python Dictionaries | Python Lists | Python Sets | Python Functions | Docstrings in Python | Python Closures | Python Generators and Partials | Python Decorators | Apply Functions to Pandas Dataframes
Computers want to be helpful... | Programmers Anticipate Needs | Users vs. Programmers | Why be a programmer? | What is Code? Software? A Program? | Programs for Humans... | Programs for Python... | Definitions | Totally Hot CPU | Hard Disk in Action | Early Learner: Syntax Errors | Elements of Python | Reserved Words | Sentences or Lines | Python Scripts | Interactive versus Script | Program Steps or Program Flow | Sequential Steps | Conditional Steps | Repeated Steps | Summary | Constants | Variables
Introduction | What is Python | Why use Python | Getting Started with Python | Installing Python | Data Types and Variables in Python | Receiving Input in Python | String Operations in Python | Arithmetic Operators in Python | Operator Precedence | Comparison Operators in Python | Logical Operators in Python | If Statements in Python | While Loops in Python | Python Lists | List Methods in Python | For Loops in Python | Range Function in Python | Tuples in Python | Conclusion
Introduction | Who’s this tutorial for? | An outline of this video | What is Python and what can you do with it? | What is IDE and why I chose Jupyter Notebook | How Jupyter Notebook works | How to install Python and Jupyter (through Anaconda) | Launching Jupyter | The print() function | Introduction to variables | What are variables (in Python)? | Assigning a variable to another variable | A practice problem - swapping two variables | Solutions to the practice problem - swapping two variables
Introduction to Python Full Course 2023 | Introduction To Python | Installing Python On Windows | Python Developer Roadmap | Python First Program | Variables In Python | Python Data Types | Python Object Types and Type Conversion | Numbers In Python | Strings In Python | Operators In Python | Python Lists, Tuples And Dictionaries | If Else Statement In Python | While Loop In Python | For Loop In Python | Python Loop Coding Techniques | Python Functions | Python Lambda Function | Classes and Objects in python | OOPS in Python | Inheritance in Python | Iterators In Python | Generators In Python | Scopes & Arguments In Python | Modules in Python
Introduction | Agenda | Python, Pycharm & Anaconda Installation | Variables | Data Types in Python | Operators in Python | Python Tokens: Keywords, Identifiers, Literals & Operators | Data Structures in Python: Tuple, List, Dictionary & Set | Flow Control Statements | Python Object-Oriented Programming: Class & Object | Inheritance in Python | Python Numpy | Python Pandas | Data Visualization with Python: Matplotlib | Data Visualization with Python: SeaBorn | Python Project on IPL Data | Python Project on FIFA | Python Project on Marvel and DC Characters | Python Project on Game of Thrones Data | Python Project on Covid-19 data
Why Do We Need List | A List with Multiple Variable Types | Negative Indexes | Mutability Property | Min and Max | What Is an Object | What Is a Method | Help | Append | Search Something in a List | Where Is Tuple Useful | Coding Challenge | Disclaimer | Loops and List Comprehension
Intro | How to code Python in replit? | How to disable autocomplete in replit? | How to change replit to dark mode? | Variables in Python | If/else logic in Python | The while loop in Python | Lists in Python | String methods in Python | The for loop in Python | Functions in Python | Build the game rock, paper, scissors in Python
Top 20 Job role in increasing & decreasing demand - World Economic Forum - Oct20 | Different Skill which in demand | Top 15 Skills for 2025 | Oppurtunities within professional cluster | Skill gap across successful job transitions | Experience of Finance Guy trying to learn Machine Learning | World Economic Forum Report - India Report | Data Analytics vs Data Scientist | What is Big Data? | What should I start - Data Analytics vs Data Scientist or Big Data?
Perfect for Rookies | Community Open-Source | Career Opportunities | Web Development | Al & Machine Learning Artificial Intelligence | Raspberry Pi | Startups and Corporates
Introduction | 0. Welcome and "what is deep learning?" | 1. Why use machine/deep learning? | 2. The number one rule of ML | 3. Machine learning vs deep learning | 4. Anatomy of neural networks | 5. Different learning paradigms | 6. What can deep learning be used for? | 7. What is/why PyTorch? | 8. What are tensors? | 9. Outline | 10. How to (and how not to) approach this course | 11. Important resources | 12. Getting setup | 13. Introduction to tensors | 14. Creating tensors | 17. Tensor datatypes | 18. Tensor attributes (information about tensors) | 19. Manipulating tensors | 20. Matrix multiplication | 23. Finding the min, max, mean & sum | 25. Reshaping, viewing and stacking | 26. Squeezing, unsqueezing and permuting | 27. Selecting data (indexing) | 28. PyTorch and NumPy | 29. Reproducibility | 30. Accessing a GPU | 31. Setting up device agnostic code | 33. Introduction to PyTorch Workflow | 34. Getting setup | 35. Creating a dataset with linear regression | 36. Creating training and test sets (the most important concept in ML) | 38. Creating our first PyTorch model | 40. Discussing important model building classes | 41. Checking out the internals of our model | 42. Making predictions with our model | 43. Training a model with PyTorch (intuition building) | 44. Setting up a loss function and optimizer | 45. PyTorch training loop intuition | 48. Running our training loop epoch by epoch | 49. Writing testing loop code | 51. Saving/loading a model | 54. Putting everything together | 60. Introduction to machine learning classification | 61. Classification input and outputs | 62. Architecture of a classification neural network | 64. Turing our data into tensors | 66. Coding a neural network for classification data | 68. Using torch.nn.Sequential | 69. Loss, optimizer and evaluation functions for classification | 70. From model logits to prediction probabilities to prediction labels | 71. Train and test loops | 73. Discussing options to improve a model | 76. Creating a straight line dataset | 78. Evaluating our model's predictions | 79. The missing piece – non-linearity | 84. Putting it all together with a multiclass problem | 88. Troubleshooting a mutli-class model | 92. Introduction to computer vision | 93. Computer vision input and outputs | 94. What is a convolutional neural network? | 95. TorchVision | 96. Getting a computer vision dataset | 98. Mini-batches | 99. Creating DataLoaders | 103. Training and testing loops for batched data | 105. Running experiments on the GPU | 106. Creating a model with non-linear functions | 108. Creating a train/test loop | 112. Convolutional neural networks (overview) | 113. Coding a CNN | 114. Breaking down nn.Conv2d/nn.MaxPool2d | 118. Training our first CNN | 120. Making predictions on random test samples | 121. Plotting our best model predictions | 123. Evaluating model predictions with a confusion matrix | 126. Introduction to custom datasets | 128. Downloading a custom dataset of pizza, steak and sushi images | 129. Becoming one with the data | 132. Turning images into tensors | 136. Creating image DataLoaders | 137. Creating a custom dataset class (overview) | 139. Writing a custom dataset class from scratch | 142. Turning custom datasets into DataLoaders | 143. Data augmentation | 144. Building a baseline model | 147. Getting a summary of our model with torchinfo | 148. Creating training and testing loop functions | 151. Plotting model 0 loss curves | 152. Overfitting and underfitting | 155. Plotting model 1 loss curves | 156. Plotting all the loss curves | 157. Predicting on custom data
Intro | Number 1: Do it | Number 2: Build Your Career Early | Number 3: Copy | Number 4: Be Proactive | Number 5: Invest | Grammarly | Number 6: Master a Programming Language | Number 7: Be Autonomous | Number 8: Learn How to Debug | Number 9: LeetCode early | Number 10: Win | Outro
Introduction | Table of Contents | How to work through the book | 3 Essential skills to learn as a programmer | Asking questions and building muscle memory | Practice programming every day
Animating an Image on a Canvas | Create Image Function | Create a While Loop | Get the Coordinates | Update the Window | If Statements | Add a Background Image | Create a Photo Image
WHICH LANGUAGE NEED TO LEARN FOR DATA SCIENCE? | MOST POPULAR LANGUAGE IN THIS FIELD IS PYTHON | 4 MONTH MODULE | RECORDED LECTURE | JOIN PYTHON CRASH COURSE
Create a Menu Bar | Create a File Menu | Open File and a Save File | Create a Edit Menu | Add Commands to this Edit Menu | Edit Menu | Changing the Font | Add Images | Photo Images | Add an Image | Compound Views
Intro | Multi-Output vs Multi-Label | Data Prep | Class Distribution | Features & Labels | Building ML Pipeline | Using Multi-Output Classifier | Making Prediction | Using ML Estimators with Multi-Output Support | Conclusion
Intro | Keep your classes small | Make your classes easy to use | Use dependency injection | Make sure a class is actually needed | Use encapsulation | Outro
Introduction to Python | Variables and Datatypes | User Input and Casting | If-else with Boolean Values | if-else with examples | for-loop Explained with Example | Nested for-loop | while-loop Explained | Python Collections | Functions in Python | Return Keyword in Python | Classes and Objects | Constructor and Self Keyword Explained | Types of Class Variable | Types of Class Methods | Inheritance and its type | Super Keyword in Python | Polymorphism in Python | Encapsulation and Access Modifiers | Exception Handling in Python | File Handling
Best Practices for Watching this Video | Bitcoin | Digital Gold | Ethereum | Smart Contracts | Oracles | Hybrid Smart Contracts | Summary | Blockchains Are Decentralized | Bankless Narrative | Speed and Efficiency | Decentralized Autonomous Organizations | Interaction with the Ethereum Blockchain | An Ethereum Wallet | Test Nets | Ether Scan | Example of What a Block Chain | The Genesis Block | Mining | Example of Public and Private Keys | Elliptic Curve Digital Signature Algorithm | Consensus Proof of Work and Proof of Stake | Civil Resistance Mechanism | Civil Resistance | Proof of Work | Block Time | Chain Selection Rule | Simple Attack | 51 Percent Attack | 51 Attack | Proof of Stake | Randomness | Scalability | Sharding | Sharded Blockchain | Layer 1 | Recap | Resources for this Course | Remix Ide | Solidity Plugin | Solidity Compiler Tab | Testing Locally | Solidity Version | Types of Solidity | Booleans | Simple Storage
Welcome to Python Complete Tamil Tutorial | Introduction of Python | Compiler Vs Interpreter | Python Software Installation | Anaconda Python Software Installation | How to Change Spyder Theme | What is Variables in Python | Basic Program in Python | What is id and type in Python | Run Python in Online | Run Python Using Notepad++ or Vs Code | Keywords in Python | Getting Inputs in Python | Multiple Inputs in Single Line Python | Multiline String in Python | Getting Multiline Input in Python | Pycharm installation in Python | Single and Multiline Comment in Python | Type Casting in Python | String and String Functions in Python | String Manipulation in Python | Arithmetic operators in Python | Assignment operators in Python | Comparison operators in Python | Logical operators in Python | Bitwise operators in Python | IF Statement in Python | IF ELSE Statement in Python | ELIF Statement in Python | Nested IF Statement in Python | While Loop in Python | Continue Statement in Python | Break Statement in Python | Range in Python | For Loop in Python | Nested For Loop in Python | While Else & For Else in Python | List and Its Function in Python | Tuples and Its Function in Python | Sets and Its Function in Python | Dictionaries and Its Function in Python | Identity operators in Python | Membership operators in Python | Functions in Python | No Return Type Without Argument Function in Python | No Return Type With Argument Function in Python | Return Type Without Argument Function in Python | Return Type With Argument Function in Python | Arbitrary Arguments Function in Python | Keyword Arguments Function in Python | Arbitrary Keyword Arguments in Python | Default Parameter Function in Python | Passing a List as an Argument in Function Python | Recursion Function in Python | Lambda Functions in Python | Date Time Functions in Python | Maths Functions in Python | try block in Python | try else block in Python | Finally Block in Python | Type of Exceptions in Python | Handling Multiple Exceptions in Python | Class and Object in Python | Class Attributes in Python | Instance Attributes in Python | Class Method in Python | Instance Method in Python | __init__ Method in Python | Property Decorator in Python | Property Decorators Getter Setter in Python | Property Method in Python | Class Method Decorator in Python | Static Method in Python | Abstraction and Encapsulation in Python | Single Inheritance in Python | Multiple Inheritance in Python | Multilevel Inheritance in Python | Function Overriding in Python | Handling Diamond Problem in Python | Operator Overloading in Python | Abstract Base Class in Python | Open a File in Python | Read a File Using readLine in Python | looping through the lines in Python | Write to an Existing File in Python | Append Mode File in Python | Delete a File in Python | SQLite Browser installation | Creating Database and Table in SQLite Database | Crud Introduction in Python SQLite | SQLite Database Connection String in Python | Insert data in SQLite Database in Python | Update data in SQLite Database in Python | Delete Data in SQLite Database in Python | Select All Data in SQLite Database in Python | Crud Python MySQL | Flask Project With MySQL | Tkinter Project in Python MySQL
Where facts in LLMs live | Quick refresher on transformers | Assumptions for our toy example | Inside a multilayer perceptron | Counting parameters | Superposition | Up next
Introduction | Course Overview | Exploratory Data Analysis - A case Study | Data Preparation and Cleaning | Exploratory Analysis and Visualization | Asking and Answering Questions | Inferences and Conclusions | References and Future Work | Setting up and running Locally | Project Guidelines | Course Recap | What to do next? | Certificate of Accomplishment | Jovian Platform
Write Proper Code! | PEP8 Guideline | Installing An Auto Formatter | General PEP8 Guidelines | Naming Conventions | Method Parameter Naming | Function And Class Spacing | Imports | Single Or Double Quotes | Whitespaces | In-Line Comments | is None or == None | Try and Except | String Prefix and Suffix
Where facts in LLMs live | Quick refresher on transformers | Assumptions for our toy example | Inside a multilayer perceptron | Counting parameters | Superposition | Up next