Embark on a comprehensive journey through Python programming with this extensive 13-hour video playlist. Master Python basics, data manipulation libraries, visualization tools, and advanced concepts. Begin with Anaconda installation and progress through fundamental data structures like lists, sets, dictionaries, and tuples. Explore essential libraries such as NumPy, Pandas, Matplotlib, and Seaborn for data analysis and visualization. Dive into Exploratory Data Analysis (EDA) using real-world datasets. Learn advanced Python features including functions, lambda expressions, list comprehensions, and object-oriented programming. Tackle exception handling, inheritance, decorators, and multithreading. Apply your skills to practical projects, including house price prediction and PDF password protection. Discover optimization techniques, coding best practices, and the latest features in Python 3.10. By the end of this playlist, gain the expertise to efficiently develop data science projects and complex Python applications.
Overview
Syllabus
Complete Road Map To Be Expert In Python- Follow My Way.
Tutorial 1- Anaconda Installation and Python Basics.
Why Python is the Best Programming Language For Machine Learning?.
Tutorial 2 - Python List and Boolean Variables.
Tutorial 3- Python Sets, Dictionaries and Tuples.
Tutorial 4 - Numpy and Inbuilt Functions Tutorial.
Tutorial 5- Pandas, Data Frame and Data Series Part-1.
Tutorial 6- Pandas,Reading CSV files With Various Parameters- Part 2.
Tutorial 7- Pandas-Reading JSON,Reading HTML, Read PICKLE, Read EXCEL Files- Part 3.
Tutorial 8- Matplotlib (Simple Visualization Library).
Tutorial 9- Seaborn Tutorial- Distplot, Joinplot, Pairplot Part 1.
Tutorial 10- Seaborn- Countplot(), Violinplot(), Boxplot()- Part2.
How To Become Expertise in Exploratory Data Analysis.
Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset.
Tutorial 12- Python Functions, Positional and Keywords Arguments.
Tutorial 13- Python Lambda Functions.
Tutorial 15- Map Functions using Python.
Tutorial 16- Filter Functions In Python.
Tutorial 17- Python List Comprehension.
Tutorial 18- Python Advanced String Formatting.
Tutorial 19- Python Iterables vs Iterators.
Tutorial 20- How To Import All Important Python Data Science Libraries Using Pyforest.
Tutorial 21- Python OOPS Tutorial- Classes, Variables, Methods and Objects.
Advanced Python- Exception Handling Detailed Explanation In Python.
Advanced Python Series- Custom Exception Handling In Python.
Advance Python Series- Inheritance In Python.
Advance Python Series-Magic Methods In Classes.
Advanced Python Series- Assert Statement In Python.
Advanced Python Series - Iterators Vs Generators.
Advance Python-Decorators Indepth Implementation.
Python Series- is Vs == Indepth Explanation- Boolean Evaluation.
60 Python Projects With Source Code- Solved And Explained.
Shallow Copy Vs Deep Copy in Python.
How To Speed Up Pandas By 4X Times- Modin Pandas Library.
Class Variables And Class Methods In Python.
Python Advance Series- Static Methods Indepth Understanding And Implementation In Python.
Advance Python Series- Multiple Inheritance In Python.
Python Eval Function- Evaluating Python Expressions Dynamically.
Advance House Price Prediction- Exploratory Data Analysis- Part 1.
Advance House Price Prediction- Exploratory Data Analysis- Part 2.
Advance House Price Prediction-Feature Engineering Part 1.
Advance House Price Prediction-Feature Engineering Part 2.
Advance House Price Prediction-Feature Selection.
Advance Python Series-Asynchronous Execution(Parallel Execution) With Thread Using Python.
Vulture Library- How To Find Unused And Dead Code In Python Projects.
Python Zip Function- Easy Parallel Iteration for Multiple Iterators.
Pdf Password Protection Using Python.
PIP Freeze- Creating Packages(Requirements.txt) For The Application.
Logging Implementation In Python.
Secure Hash Algorithms Using Python- SHA256,SHA384,SHA224,SHA512,SHA1- Hashing In BlockChain.
Numba Library- Let's Make Python Faster.
10 Tips To Learn Python Efficiently And Effectively.
Advance Python Series- Public Private And Protected Access Modifiers.
Top 7 Best Extensions In VSCode For Python Programming That I Use For Data Science Projects.
What’s New In Python 3.10? Discussing All The New Features.
Python – Different Ways To Import Module From Different Directory.
Taught by
Krish Naik
Related Courses
Related articles
Reviews
5.0 rating, based on 1 Class Central review
-
Lectures are very interesting .Explaination was very clearly . The course is knowledgeable . I loved this course . The course very useful for coding .This course motivated me , given the strength and confidence to do coding .Thank you so much for the lecturer, class central and Nation skills academy.
