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Python Fundamentals For Absolute Beginner Using Google Colab

Category: Tutorials


Python Fundamentals For Absolute Beginner Using Google Colab
Free Download Python Fundamentals For Absolute Beginner Using Google Colab
Published 10/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.95 GB | Duration: 6h 15m
Fundamental Course of Python Programming for Absolute beginners. This course covers all the fundamental Python Libraries


What you'll learn
Google Colab for Python Programming
Operators used in Python.
How to create and use arrays in Python using NumPy
Built-in function in NumPy
Generating Random Numbers using NumPy
How to plot and visualize the data using Matplotlib.
How to create lists and use them in Python
for loops and while loops in Python
Strings in Python
How to create dictionaries and use them in Python.
Seaborn Library
Pandas
Creating Functions in Python
Creating Classes in Python
Tuples
The lambda( ) function
map( ), reduce( ) and filter( ) functions
zip( ) and join( ) functions
Requirements
Only the gmail account
Description
Fundamental Course of Python Programming for Absolute beginners using Google Colab. This course covers all the fundamental libraries such as NumPy, Matplotlib, Pandas, Seaborn etc. Furthermore many built-in Python function are explained with examples.Course ContentsIntroduction of the Google ColabOperators in PythonArrays with NumpyMatplotlib for Data VisualizationLists in PythonLoops in PythonStrings in PythonDictionaries in PythonSeabornPandasFunctionsCreating Classes in PythonTupleslambda() functionmap() replace() and filter() functionszip() and join()Who this course is for:Anyone who wants to learn Python from scratch.Students and Researchers in Artificial Intelligence.Students and Researchers who want to develop Python Programming skills to solve their Tasks.Want to switch from Other Programming Languages to Python.What you'll learnOperators used in Python.How to create and use arrays in Python using NumPyBuilt-in function in NumPyGenerating Random Number using NumPyHow to plot and visualize the data using Matplotlib.How to create lists and use them in Pythonfor loops and while loops in PythonStrings in PythonHow to create dictionaries and use them in Python.Seaborn LibraryPandasCreating Functions in PythonCreating Classes in PythonTuplesThe lambda( ) functionmap( ), reduce( ) and filter( ) functionszip( ) and join( ) functions
Overview
Section 1: Introduction
Lecture 1 Introduction of the course
Lecture 2 Lecture 2: Course Material
Section 2: Introduction of Google Colab
Lecture 3 Introduction of the Section
Lecture 4 Using Google Colab for Coding
Section 3: Operators in Python
Lecture 5 Arithmetic Operations With Python
Lecture 6 Comparison and Logical Operators
Lecture 7 Conditional Statements
Section 4: Arrays With NumPy
Lecture 8 Arrays With NumPy Part-01
Lecture 9 Arrays With NumPy Part-02
Lecture 10 Arrays With NumPy Part-03
Section 5: Matplotlib For Data Visualization
Lecture 11 Plotting and Visualization Part-01
Lecture 12 Plotting and Visualization Part-02
Lecture 13 Plotting and Visualization Part-03
Lecture 14 Plotting and Visualization Part-04
Section 6: List in Python
Lecture 15 Working With Lists in Python
Section 7: Loops in Python
Lecture 16 for loops Part-01
Lecture 17 for loops Part-02
Lecture 18 while loop
Section 8: Strings in Python
Lecture 19 Strings in Python
Lecture 20 Print formatting with strings
Section 9: Working With Dictionaries in Python
Lecture 21 Dictionaries Part-01
Lecture 22 Dictionaries- Part02
Section 10: Seaborn
Lecture 23 Seaborn Part-01
Lecture 24 Seaborn Part-02
Lecture 25 Seaborn Part-03
Section 11: Pandas
Lecture 26 Pandas Part-01
Lecture 27 Pandas Part-02
Lecture 28 Pandas Part-03
Lecture 29 Pandas Part-04
Section 12: Functions in Python
Lecture 30 Creating Function in Python Part-01
Lecture 31 Creating Function in Python Part-02
Section 13: Creating Classes in Python
Lecture 32 Creating Classes in Python
Section 14: Tuples
Lecture 33 Tuples in Python
Section 15: The lambda( ) function
Lecture 34 lambda( ) function in python
Section 16: map( ), reduce( ) and filter( ) in Python
Lecture 35 map( ) function
Lecture 36 reduce( ) function
Lecture 37 filter( ) function
Section 17: zip( ) and join( ) in Python
Lecture 38 zip( ) function
Lecture 39 join( ) function
Anyone who wants to learn Python from scratch.,Students and Researchers in Artificial Intelligence,Students and Researchers who want to develop Python Programming skills to solve their Tasks.,Want to switch from Other Programming Languages to Python


Homepage
https://www.udemy.com/course/python-fundamentals-for-fresh-learners-using-google-colab/








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