Path title:

Python Mastery: From Zero To Hero

Created 2 years ago and Updated 2 years ago

Objectives:

🐍 Python has rapidly grown to become one of the most used language in the tech industry. Objective Of This Path ? The objective of this learning path is to share with the audience my journey, the path which I took, the resources(both free and paid) which I referred and continue to refer to this day. The course contains paid courses which offer high value and also corresponding free versions of the same topics. The advantage of paid courses is that they are updated from time to time so you always get access to the latest content. Career Paths Which Python Opens Up ? -- Backend Development -- Data Analytics -- Data Engineering -- Data Scientist -- Machine Learning & AI How Is This Path Structured ? -- Structured courses which teach everything about Python in single video -- IDE Setup for Python(PyCharm, Jupyterlab, VsCode) -- Managing virtual environments in Python using venv and miniconda -- Individual video content for important Python concepts such as Decorators, Generators, Logging, Unit Testing, OOPs -- Courses for Python Backend & Web Development covering Flask, Django & FastAPI -- Courses for Python Data Engineering & Data Analysis covering Pandas, Numpy, Matplotlib, Seaborn -- Courses for Python Data Science, Machine Learning/AI covering Pytorch, NLP and various machine learning concepts Hope my journey & it's learning benefit anyone who takes this path.

57 Steps

for all

Free

48 watching

9 reading

+ 95

		#	Type	Title	Creator	Platform	Duration
		1		CS50's Introduction to Programming with Python \| edX	David J. Malan	edx.org	2h
	What you'll learn in this step: An introduction to programming using a language called Python. Learn how to read and write code as well as how to test and "debug" it. Designed for students with or without prior programming experience who'd like to learn Python specifically. Learn about functions, arguments, and return values (oh my!); variables and types; conditionals and Boolean expressions; and loops. Learn how to handle exceptions, find and fix bugs, and write unit tests; use third-party libraries; validate and extract data with regular expressions; model real-world entities with classes, objects, methods, and properties; and read and write files. Hands-on opportunities for lots of practice. Exercises inspired by real-world programming problems
		2		Python Full Course for free 🐍	Bro Code	youtube.com	12h
	What you'll learn in this step: A comprehensive Python free course covering the entire Python journey -- Variables & Datatypes -- Functions & Methods -- OOPs -- Projects
		3		Python Tutorial for Beginners - Learn Python in 5 Hours [FULL COURSE]	TechWorld with Nana	youtube.com	5h
	What you'll learn in this step: 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
		4		Python Anaconda and Miniconda Tutorial For Beginners: Environment & Package Management	Jaydeep Karale	youtube.com	23m
	What you'll learn in this step: This tutorial teaches setting up Miniconda, one of the most popular package and environment management tools.
		5		Managing Python Packages and Virtual Environments \| Pluralsight	Reindert-Jan Ekker	pluralsight.com	1h
	What you'll learn in this step: This covers virtual environment management in Python using the built-in venv module.
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	What you'll learn in this step: PyCharm is one of the most popular IDEs used for Python development. This tutorial series covers setting up PyCharm.
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	What you'll learn in this step: PyCharm is paid but VsCode is free. This video tutorial from one of my favorite educators on Twitter covers setting up VsCode for Python development.
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	What you'll learn in this step: Jupyter Lab is the next generation of Jupyter notebook, the popular tool for working with Python and machine learning. This tutorial covers the setup of Jupyter lab.
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	What you'll learn in this step: You will learn how to leverage the power of Python to solve tasks. You will build games and programs that use Python libraries. You will be able to use Python for your own work problems or personal projects. You will create a portfolio of Python based projects you can share. Learn to use Python professionally, learning both Python 2 and Python 3! Create games with Python, like Tic Tac Toe and Blackjack! Learn advanced Python features, like the collections module and how to work with timestamps! Learn to use Object Oriented Programming with classes! Understand complex topics, like decorators. Understand how to use both the Jupyter Notebook and create .py files Get an understanding of how to create GUIs in the Jupyter Notebook system! Build a complete understanding of Python from the ground up!
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	What you'll learn in this step: You will master the Python programming language by building 100 unique projects over 100 days. You will learn automation, game, app and web development, data science and machine learning all using Python. You will be able to program in Python professionally You will learn Selenium, Beautiful Soup, Request, Flask, Pandas, NumPy, Scikit Learn, Plotly, and Matplotlib. Create a portfolio of 100 Python projects to apply for developer jobs Be able to build fully fledged websites and web apps with Python Be able to use Python for data science and machine learning Build games like Blackjack, Pong and Snake using Python Build GUIs and Desktop applications with Python
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	What you'll learn in this step: This introductory course to Python is best for getting you up to speed with the fundaments including -- Data types -- Exception handling -- Modularity -- Methods & Functions
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	What you'll learn in this step: A dedicated video tutorial for Python data type List
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	What you'll learn in this step: A dedicated video tutorial for Python data type Tuple
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	What you'll learn in this step: A dedicated video tutorial for Python data type Set
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	What you'll learn in this step: A dedicated video tutorial for Python data type Dictionary
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	What you'll learn in this step: A dedicated video tutorial to cover Python collections module which contains advanced modules such as -- Named Tuple -- Default Dict -- Counter
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	What you'll learn in this step: Decorators help you write better Python code. This free video covers the following concepts -- Object-Oriented decorator -- Functional decorator -- Functools wraps -- Decorators with arguments -- Should you use decorators?
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	What you'll learn in this step: Knowing OOPs is fundamental to programming. This 4 hour course covers Python OOP in great details including -- Classes -- Objects -- Methods -- Property decorator -- Inherticance -- Encapsulation & Abstraction
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	What you'll learn in this step: Knowing OOPs is fundamental to programming. This free video tutorial covers Python OOP in great details including -- Classes -- Objects -- Methods -- Property decorator -- Inherticance -- Encapsulation & Abstraction
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	What you'll learn in this step: Python Dataclasses introduced in 3.7 are fundamental to writing better and simpler Python classes. Learn about Dataclasses in depth in this FREE video tutorial. What are data classes? Explaining the example Dataclasses basics Assigning default values Excluding arguments from the initializer Using post_init to generate extra fields Private/protected members Excluding information from the repr Freezing a dataclass (new in Python 3.10) kw_only (new in Python 3.10) match_args (new in Python 3.10) slots
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	What you'll learn in this step: Python Dataclasses introduced in 3.7 are fundamental to writing better and simpler Python classes. Learn about Dataclasses in depth in this FREE video tutorial. What are data classes? Explaining the example Dataclasses basics Assigning default values Excluding arguments from the initializer Using post_init to generate extra fields Private/protected members Excluding information from the repr Freezing a dataclass (new in Python 3.10) kw_only (new in Python 3.10) match_args (new in Python 3.10) slots
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	What you'll learn in this step: Learn about Python Generators which help managing memory better.
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	What you'll learn in this step: Unit testing is a great way to foster quality and enhance collaboration with other developers. Learn to write unit tests in good style using popular frameworks like unittest and pytest.
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	What you'll learn in this step: Unit testing is a great way to foster quality and enhance collaboration with other developers. Learn to write unit tests in good style using built-in Python module for unit testing.
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	What you'll learn in this step: Doctest provide a great way provide working example of code and at the same time test them. Learn about the built-in module Doctest.
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	What you'll learn in this step: Unit testing is a great way to foster quality and enhance collaboration with other developers. Learn to write unit tests in good style using 3rd party Python module for unit testing PyTest
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	What you'll learn in this step: Logging is important for writing Production grade code. This is the first video in the Python logging module series.
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	What you'll learn in this step: Logging is important for writing Production grade code. This is the second video in the Python logging module series. It talks about the various types of handlers available.
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	What you'll learn in this step: Logging is important for writing Production grade code. This is the third video in the Python logging module series. It talks about storing logging configuration in files, configfiles and locally.
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What you'll learn in this step: Logging is important for writing Production grade code. This is the fourth video in the Python logging module series. It talks about filtering and building custom log message using LoggerAdapter
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What you'll learn in this step: Learning any language is incomplete without Exception handling. This paid course teaches you about the Error & Exception handling in Python.
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What you'll learn in this step: Pandas is the most popular Python data manipulation library. This series is all you need to learn Pandas.
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What you'll learn in this step: NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. Numpy forms basis of Machine learning. Learn about it in this video.
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What you'll learn in this step: Learn about essential data analytics in Python using -- pandas -- numpy -- seaborn -- matplotlib
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What you'll learn in this step: Apache Spark is written in Scala programming language. To support Python with Spark, Apache Spark community released a tool, PySpark. Using PySpark, you can work with RDDs in Python programming language also. It is because of a library called Py4j that they are able to achieve this.
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What you'll learn in this step: A comprehensive ML tutorial covering -- Data/Colab Intro -- Intro to Machine Learning -- Features -- Classification/Regression -- Training Model -- Preparing Data -- K-Nearest Neighbors -- KNN Implementation -- Naive Bayes -- Naive Bayes Implementation -- Logistic Regression -- Log Regression Implementation -- Support Vector Machine -- SVM Implementation -- Neural Networks -- Tensorflow -- Classification NN using Tensorflow -- Linear Regression -- Lin Regression Implementation -- Lin Regression using a Neuron -- Regression NN using Tensorflow -- K-Means Clustering -- Principal Component Analysis -- K-Means and PCA Implementations
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What you'll learn in this step:
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What you'll learn in this step: A 6 part series covering -- Data Science: An Introduction: Foundations of Data Science -- Data Sourcing: Foundations of Data Science -- Mathematics -- Statistics
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What you'll learn in this step: -- Introduction on NLP playlist -- Four Unique things about this tutorial series -- My favorite NLP book -- NLP in real life -- NLP career roles with salaries
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What you'll learn in this step: -- Keras Course Introduction -- Keras with TensorFlow - Data Processing for Neural Network Training -- Create an Artificial Neural Network with TensorFlow's Keras API -- Train an Artificial Neural Network with TensorFlow's Keras API -- Build a Validation Set With TensorFlow's Keras API -- Neural Network Predictions with TensorFlow's Keras API -- Create a Confusion Matrix for Neural Network Predictions -- Save and Load a Model with TensorFlow's Keras API -- Image Preparation for CNNs with TensorFlow's Keras API -- Build and Train a CNN with TensorFlow's Keras API -- CNN Predictions with TensorFlow's Keras API -- Build a Fine-Tuned Neural Network with TensorFlow's Keras API -- Train a Fine-Tuned Neural Network with TensorFlow's Keras API -- MobileNet Image Classification with TensorFlow's Keras API -- Fine-Tuning MobileNet on Custom Data Set with TensorFlow's Keras API -- Data Augmentation with TensorFlow' Keras API
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What you'll learn in this step: TensorFlow is popular machine learning library. Learn about it in this video Module 1: Machine Learning Fundamentals Module 2: Introduction to TensorFlow Module 3: Core Learning Algorithms Module 4: Neural Networks with TensorFlow Module 5: Deep Computer Vision - Convolutional Neural Networks Module 6: Natural Language Processing with RNNs Module 7: Reinforcement Learning with Q-Learning Module 8: Conclusion and Next Steps
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What you'll learn in this step: This video covers - Your first modules - Evidence and p values - Production and Deployment - Stochastic Gradient Descent (SGD) from scratch - Data ethics - Collaborative filtering - Tabular data - Natural language processing
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What you'll learn in this step: ️ Introduction 1.1 Project Setup & Flask Basics 1.2 Building Web Pages using HTML 1.3 Styling with CSS & Bootstrap 1.4 Dynamic Data using Templates 1.5 Deploying to the Cloud with Render 1.6 Functional and Aesthetic Improvements 1.7 Summary & Future Work Database-Driven Web Applications 2.1 Project Setup & Deployment 2.2 Cloud MySQL Database Setup 2.3 DB Connection with SQLAlchemy 2.4 Display DB Data on Web Page 2.5 Dynamic Database-Driven Pages 2.6 HTML Form for Applications 2.7 Saving Applications to DB 2.8 Summary & Future Work
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What you'll learn in this step: A super comprehensive tutorial for one of the most popular Python framework Django -- Web Applications and the Request/Response Cycle -- Exploring the HyperText Transfer Protocol -- Using Sockets to Make Network Connections in Python -- Building a Simple Web Browser in Python -- Building a Simple HTTP Server in Python -- Understanding Browser Developer Mode -- The Structure of a Django Application -- Installing Django on PythonAnywhere -- Using Sessions in Django -- One-to-Many Models Overview -- Removing Replication in One-to-Many Models -- Storing Primary and Foreign Keys in a Database -- Representing One-To-Many Models in Django -- Using the Django Shell to Explore One-to-Many Models -- Loading One-to-Many Data using a Django Batch Script -- Creating and Managing Users in Django -- Login and Logout URLs in Django -- A Simple Many-To-Many Example in Django -- Many-To-Many Data Models for Courses and Membership -- Building a Django Batch Script to Load Data from CSV
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What you'll learn in this step: FastAPI is the fastest Python Web Framework. This video tutorial covers the following -- Framework Intro -- Course Intro -- Install and Setup -- Break it down -- Path Parameters -- API Docs -- Query Parameters -- Request Body -- Debugging -- Pydantic Schemas -- Database Connection -- Create Model and Tables -- Store blog to database -- Get blog from database -- Exception & Status Code -- Delete a blog -- Response Model -- Create User -- Hash Password -- Show User -- Using Doc Tags -- Relationship -- API Router -- API router path operators -- Blog & User respository -- Logn & verify Password -- JWT Access Token -- Route behind authentication -- Deploy fastAPI app
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What you'll learn in this step: The video is a project based approach to learning Python coverin -- Environment Setup -- Project #1 - Quiz Game -- Project #2 - Number Guessing Game -- Project #3 - Rock, Paper, Scissors -- Project #4 - Choose Your Own Adventure -- Project #5 - Password Managers (Most Advanced)
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What you'll learn in this step: A detailed video covering the below 20 projects -- Email Validation in Python ( Using String Functions ) -- Email Validation in Python ( Using Regex ) -- QRcode using python -- Shutdown app using Python with GUI -- Speed calculator -- Internet Speed Test using Python with GUI -- CONVERT TEXT TO HANDWRITING -- YouTube Video Downloader -- Desktop Notifier using Python ( Python code run in the background ) -- Convert Python File to exe ( 1. pyintaller , 2. auto-py-to-exe ) -- Phone Number Details using python -- Instagram Automate -- Website Blocker using Python -- Skype Automate -- Voice Assistant -- Gmail Automate -- Google Translate -- Digital Clock Using Python With GUI -- Python File ( .py ) To Convert Into Mobile App ( .apk ) -- Screen Recorder Using Python
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What you'll learn in this step: Highly recommended project for Data Analytics enthusiasts covering below topics -- Problem statement -- Requirement scoping -- Data collection using web scraping (from ESPN Cricinfo website) -- Data cleaning and transformation in Python Pandas -- Data transformation in Power Query -- Data modeling and building parameters using DAX -- Build dashboard in Power BI -- Collect insights from the dashboard and select the final 11 players
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What you'll learn in this step: My favorite go-to website for all things Python.
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What you'll learn in this step: A community of Python and Machine learning engineers. They provide -- free course -- community support -- collaboration platform
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What you'll learn in this step: This website provides paid courses for Data & Machine learning professionals.
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What you'll learn in this step: A must know community for aspiring Python full stack developers.
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What you'll learn in this step: Books offer distraction free learning and this is one book every Python developer should own.
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What you'll learn in this step: This book will help you tackle scenarios such as: Engineering data and choosing the right metrics to solve a business problem Automating the process for continually developing, evaluating, deploying, and updating models Developing a monitoring system to quickly detect and address issues your models might encounter in production Architecting an ML platform that serves across use cases Developing responsible ML systems
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What you'll learn in this step: Written by one of my favorite authors this is a very nice reference book for anyone starting their ML journey.
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What you'll learn in this step: Another brilliantly written reference book for people venturing into ML.
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What you'll learn in this step: Written by the creator of the Keras library this book serves as a nice reference for Deep Learning enthusiasts

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Curated by:

Jaydeep Karale

Software Engineer

@jaydeepkarale

Curated from: