Tutorials Python Fundamentals For Absolute Beginner Using Google Colab

[mitsumi]

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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
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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

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