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Learn Python - Full Course for Beginners [Tutorial]

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How to Start Coding | Programming for Beginners | Learn Coding | Intellipaat

????Intellipaat Programming courses:
In this video you will know how one can start coding and best programming languages to learn in 2020 for Job in Google, Microsoft, Infosys, TCS etc. Also you will know the top 5 programming languages to learn in 2020 for a rewarding career.
#HowToStartCoding #ProgrammingForBeginners #LearnCoding #Python #Php #Java #Jbpm #Angular #C #c++ #Django #Linux #WebDevelopement

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???? Read complete Python tutorial here:

????Read insightful blog on Python certification:

Are you looking for something more? Enroll in our programming courses and become a certified Professional ( All the trainings are instructor led training provided by Intellipaat which is completely aligned with industry standards and certification bodies.

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Got any questions about top programming languages? Ask us in the comment section below.
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Complete Python Course - Beginner to Advanced || Python Programming Full Course

In this Complete Python course, you will learn everything you need to know about Python programming. You will start from very basics towards to the advance. This complete Python programming course will give you clear explanation of each Python programming. Along the way you will be learning about a lot of Python concepts, some of the are below.
Table of Contents
Python - Why Programming (00:05)
Python - Hardware Overview (12:26)
Python as a language (19:25)
Python - writing paragraph of code (34:00)
Python - An animated programming story (42:00)
Python expression (52:50)
Python Types (01:11:00)
Python conditional statement (01:33:00)
Python - example of conditional statement (01:47:00)
Python - Exception handler (02:00:00)
Python - Function (02:12:00)
Python - Loop and iteration (02:40:00)
Python - Loop idioms (03:01:00)
Python - Strings (03:14:00)
Python - Files (03:42:00)
Python lists (04:05:00)
Python dictionary (04:33:00)
Python Tuples (05:10:00)
Python - Regular Expression (05:36:00)
Python - Networked program (05:54:00)
Python - From sockets to Application (06:05:00)
Python - Let's write a web browser (06:22:00)
Python - Understanding HTML (06:32:00)
Python - parsing HTML with beautifulsoup (06:40:00)
Python - Web Services Overview (06:50:00)
Python - XML (07:05:00)
Python - Parsing XML in PYthon (07:30:00)
Python - Accessing API (08:06:00)
Python - Object oriented Programming (08:42:00)
*******************************
- Python variables, Expression and Statements
- Python conditional Execution
- Python Function
- Python loop and iteration
- Python string
- Python files
- Python lists
- Python dictionaries
- Python Tuples
- Python regular expression
- Python network programming
- Python web services
- Python database

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Python Tutorial for Beginners - Full Course in 12 Hours (2020) - Python Mega Course

Python is one of top 5 programming languages today. If you want to pursue a career, this language is a must for you.This course has been created for beginners.

✔ Contents ✔
???? (0:01:00) 0 - Course Introduction
???? (0:02:29) 1 - Introduction to Python (For Absolute Beginners)
???? (0:10:41) 2 - How to Install Python 3 on Windows 10
???? (0:16:19) 3 - Basic Math, Mathematical Operators and Python Expressions
???? (0:28:40) 4 - Python Variables and Types
???? (0:40:37) 5 - Python print() and input() Function
???? (0:53:05) 6 - Python Built-in Functions and Built-in Module
???? (1:00:10) 7 - Creating and Executing your First Python Script (Run .py file)
???? (1:12:36) 8 - Install PyCharm ( Python IDE ) on Windows 10 + First Project
???? (1:20:36) 9 - Python Strings and Comments
???? (1:35:14) 10 - Boolean, Comparison Operators and Logical Operators in Python
???? (1:46:08) 11 - Python IF ELSE Statements
???? (1:54:53) 12 - Python IF...ELIF...ELSE Statements + nested IF statements
???? (2:03:41) 13 - Python Lists
???? (2:13:37) 14 - Python Tuples
???? (2:20:22) 15 - Python Sets
???? (2:33:54) 16 - Python Dictionary
???? (2:42:59) 17 - Python Slice and Negative index
???? (2:53:44) 18 - Python while Loop
???? (3:03:50) 19 - Python for Loop
???? (3:11:43) 20 - Python break, continue statement
???? (3:18:28) 21 - Python Functions
???? (3:30:47) 22 - Default Arguments, *args and **kwargs (Variable-length Arguments)
???? (3:38:27) 23 - Introduction to Object-Oriented Programming (OOP)
???? (3:48:24) 24 - Classes and Objects in Python (OOP)
???? (3:58:23) 25 - Python __init__ and self in class
???? (4:10:18) 26 - Is it possible to define multiple constructors in Python?
???? (4:18:14) 27 - Python Encapsulation
???? (4:29:39) 28 - Private methods in Python
???? (4:35:48) 29 - Python Inheritance
???? (4:50:47) 30 - How To Create Modules in Python 3
???? (5:03:10) 31 - Python Multiple Inheritance
???? (5:08:38) 32 - Python super()
???? (5:16:15) 33 - Python Composition
???? (5:21:51) 34 - Python Aggregation + Difference in Aggregation and Composition
???? (5:28:54) 35 - Python Abstract Classes
???? (5:37:16) 36 - Python Exception handling + Python Try Except
???? (5:52:06) 37 - Try Except Else Finally (Python Exception handling)
???? (5:57:47) 38 - Raising Exceptions In Python
???? (6:03:50) 39 - Raising Custom Exceptions (Writing and Using Custom Exceptions)
???? (6:08:30) 40 - Idea behind : if __name__ == __main__
???? (6:15:38) 41 - Create a Text File and Write in It Using Python
???? (6:28:50) 42 - Reading Files in Python
???? (6:40:13) 43 - Working With JSON Data in Python
???? (6:52:00) 44 - Python Iterators
???? (7:06:19) 45 - Python Generators
???? (7:22:13) 46 - Command Line Arguments in Python with argparse
???? (7:40:24) 47 - Lambda, filter, reduce and map
???? (7:58:54) 48 - Python Closures + nested functions
???? (8:12:37) 49 - Python Decorators
???? (8:32:25) 50 - Python Operator Overloading
???? (8:49:06) 51 - An Introduction to Python Debugger (pdb)
???? (9:10:00) 52 - How to use PyCharm to debug Python code
???? (9:18:16) 53 - How to use Pip and PyPI for managing Python packages
???? (9:25:55) 54 - How to Install Pip packages using PyCharm
???? (9:30:51) 55 - Global, Local and Nonlocal variables in Python
???? (9:46:44) 56 - Python Unit Testing Framework
???? (10:50:04) 57 - Python Threading Tutorial | Learn Python Threads and Threading

#PythonTutorialforBeginners #ProgrammingKnowledge #PyTest #PythonCourse PythonThreads #PythonUnitTesting
Feel the real power of Python and programming! This is a Python tutorial for beginners to learn Python programming from scratch. The course offers you a unique approach of learning how to code by solving real world problems. Throughout the course we will be understanding how to identify and formulate the problems, what is the key to a great app, we will learn how to efficiently adopt the problem for the computer and the most important that you will be writing a lot of code! The course is structured in a way that lectures are like labs where we study the material, do the quizzes, write programs and test them!

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Python Basics | Python Tutorial For Beginners | Learn Python Programming from Scratch | Edureka

** Python Certification Training: **
This Edureka video on 'Python Basics' will help you understand what exactly makes Python special and covers all the basics of Python programming along with examples. Below are the topics covered in this python tutorial for beginners:
What is Python?
Features of Python
Who uses Python?
Starting off with Python Basics
Data Types
Operators
Flow Control
Functions
File Handling


Python Tutorial Playlist:
Blog Series:

#Edureka #PythonEdureka #PythonBasics #Pythontutorialforbeginners #learnpython #pythonforbeginners #pythonprogramming #pythontutorial #PythonTraining

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How it Works?
1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - - - - -

About the Course

Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience

- - - - - - - - - - - - - - - - - - -

Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next Big Thing and a must for Professionals in the Data Analytics domain.

Who should go for python?

Edureka’s Data Science certification course in Python is a good fit for the below professionals:

· Programmers, Developers, Technical Leads, Architects

· Developers aspiring to be a ‘Machine Learning Engineer'

· Analytics Managers who are leading a team of analysts

· Business Analysts who want to understand Machine Learning (ML) Techniques

· Information Architects who want to gain expertise in Predictive Analytics

· 'Python' professionals who want to design automatic predictive models

For more information, Please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll free)
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Python Tutorial For Beginners | Python Full Course From Scratch | Python Programming | Edureka

???? Edureka Python Training (Flat 20% Off, Code: YOUTUBE20):
This Edureka Python Tutorial for Beginners (Python Tutorial Blog: will help you learn Python programming language and its core concepts with examples from scratch. This Python tutorial for beginners video helps you to learn the following concepts in Python:

1:16 Introduction to Python
5:29 Who is using Python
7:13 Python Applications
7:34 Python Market Trends
8:36 Python Installation
10:17 Python IDE & Interpreter
12:30 Executing Code in Python
13:19 Comments and Literals
15:10 Indentation
16:20 Python Code Execution
16:50 Hello World Program Using Python
20:25 Identifiers
22:22 Variables
23:35 Data Types
26:22 Immutable Data Types
26:26 Numeric Data Type
27:34 Strings
28:28 Tuples
29:48 Mutable Data Type
29:55 Lists
34:19 Dictionaries
36:36 Sets
37:01 Python Operators
37:18 Arithmetic Operator
38:02 Assignment Operator
39:03 Comparison Operator
40:00 Logical Operators
42:22 Bitwise Operator
42:51 Identity Operator
44:11 membership Operator
42:55 Conditional Statements
51:38 Loops on Python
52:00 While Loop
53:07 For Loop
55:20 Nested Loops
55:50 Control Statements
58:30 Command Line Parameters
1:00:28 Sequences and File Operations
1:00:53 Python Input Function
1:02:46 Python File Operations
1:03:14 Opening and Closing Files
1:04:40 Python Open Function
1:06:50 Write Function
1:07:05 Read Function
1:07:19 Rename Function
1:07:52 Delete Function
1:10:05 Close Function
1:10:52 File Object Attributes
1:13:48 Python Sequences
1:17:40 Python Lists
1:19:12 List Operations
1:26:04 Python Tuples
1:26:30 Tuple Operations
1:30:10 Python Strings
1:37:14 Python Sets
1:38:25 Set Operations
1:41:58 Python Dictionaries
1:45:22 Dictionary Operations
1:49:12 Functions and Oops
2:21:12 Object-Oriented Concepts
2:22:28 Use Case
2:22:55 Classes and Objects
2:26:08 Creating a Class
2:26:57 Definition of Method
2:27:30 Scope of Variables
2:29:26 Attributes
2:38:16 Private Methods
2:39:39 Class Variables and Instance Variables
2:40:54 Constructor and Destructor
2:43:20 Key Concepts of Object-Oriented Programming
2:43:25 Abstraction
2:45:01 Encapsulation
2:45:19 Inheritance
2:45:47 Types of Inheritance
2:46:21 Single Inheritance
2:48:15 Multiple Inheritance
2:49:47 Overriding Method
2:51:01 Polymorphism
2:52:37 Getter and Setter Methods
2:54:21 Working with Modules and Handling Exceptions
2:54:44 Modules Used In Python
2:55:38 Import Statement
2:56:09 Dir Function
2:57:19 From Import Statement
2:59:41 Reload Function
2:59:59 Important Modules Used in Python
3:19:34 Regular Expressions
3:26:19 Search and Match Function
3:27:31 Regular Expressions Applications
3:27:34 Packages in Python
3:28:18 Exception Handling
3:31:20 Catching Specific Exceptions
3:33:22 Finally Block
3:34:06 try-finally Block
3:34:22 User-Defined Exceptions
3:36:56 Introduction To NumPy and Pandas
3:38:50 - What is Data Analysis?
3:43:08 - Why Python for Data Analysis?
3:43:32 - Introduction to NumPy
4:07:33 - Reading & Writing from Files
4:09:13 - Reading & Writing from CSV Files
4:12:11 - Introduction to Pandas
4:39:12 - Introduction to Data Visualization & Matplotlib
5:00:35 - Data Manipulation
5:28:10 - Use Case ( Country-Wise Statistics)
5:37:55 - Developing Web Maps using Folium & Pandas
5:38:13 - Problem Statement (Disaster Management Organization)
5:39:51 - Installing Folium and Pandas
5:53:00 - Problem Statement ( Titanic Data Analysis)
5:57:13 - Data Wrangling
6:23:39 - Web Scraping using Python
6:25:50 - Libraries used for Web Scraping ( Beautiful Soup)
6:27:39 - Requests library
6:32:35 - Data Visualisation on the browser
6:33:00 - Introduction to Bokeh
6:36:02 - Computer Vision using OpenCV
6:36:09 - How a computer reads an image
6:38:21 - What is OpenCV?
6:39:15 - Operations with OpenCV
6:40:09 - Load images using openCV
6:44:22 - Write Operation
6:44:51 - Face detection using OpenCV
6:55:55 - Capturing video
7:00:05 - Use Case - Motion Detector
7:00:15 - Problem Statement
7:00:38 - Solution Logic
7:11:49 - Plotting the Motion detection graph

-------------- Edureka Python Courses -------------

????Python Programming Certification:
????Python Certification Training for Data Science:
????Python Django Training:
????Data Scientist Masters Program:

#PythonEdureka #Edureka #PythonTutorial #PythonTraining #PythonProgramming
-----------------------
????Edureka Elevate Program. Learn now, Pay Later:

Edureka Python Tutorial Playlist:
For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free)

Python Tutorial for Beginner | Full Course

Learn Python from start to end.

Python Tutorial Playlist :

1. Introduction to Python - 01:10
2. Python Setup - 05:14
3. Getting Started with Python - 13:06
4. Variables in Python - 27:02
5. List in Python - 36:48
6. Tuple / Set in Python - 47:02
7. Python set path in Windows and help - 53:16
8. More on Variables in Python - 58:46
9. Data types in Python - 01:07:31
10. Operators in Python - 01:21:42
11. Number System Conversion in Python - 01:32:24
12. IDLE Previous Command | Clear screen - 01:40:17
13. Python BitWise Operators - 01:43:11
14. Import Math Function in Python - 01:55:28
15. Working with PyCharm | run | debug | trace | Py file - 02:02:43
16. User input in Python | Command line input - 02:12:38
17. if..elif..else Statement in Python - 02:23:57
18. While loop in Python - 02:39:01
19. For loop in Python - 02:51:19
20. Break Continue Pass in Python - 02:58:09
21. Printing Patterns in Python - 02:58:09
22. Object Oriented Programming - 03:15:49
23. Class and Object in Python - 03:22:29
24. _INIT_METHOD - 03:33:19
25. OPPs Concepts - 03:33:54
26. Types of Methods in Python - 03:55:30
27. Inner Class In Python - 04:06:46
28. Inheritance - 04:13:51
29. Operator Overloading - 04:36:21
30. Method Overloading and Method Overriding - 04:50:39
31. Exception Handling in Python - 05:00:57
32. Multithreading - 05:16:35
33. File Handling - 05:31:05
34. Comments in Python - 05:43:06
35. Linear Search in Python - 05:53:19
36. Selection sort - 06:16:42
37. MySQL Workbench Setup - 06:24:05
38. Python Database Connection - 06:31:59
39. GitHub - 06:41:00
#python #fullcourse

Python Tutorial | Python Tutorial For Beginners - Full Course | Python Programming | Simplilearn

This video on Python will take you through all the basics and advanced concepts present in Python programming language. You will learn about data types, variables, lists, tuples, dictionaries, and a lot more. You will understand how to use decision-making statements and loops in Python. You will get an idea about creating user-defined functions and learn the various object-oriented programming concepts along with threading and Python scripting. Then, you will learn the various machine learning libraries available in Python, which includes NumPy, Pandas, Matplotlib, Scikit-Learn. Finally, you will come across a few important interview questions that you could face in any Python interview. Now, let's dive into learning Python in detail.

Below topics are explained in this Python tutorial:
1. Python installation in Windows 10 (00:33)
2. Jupyter Notebook tutorial (04:02)
3. Python Variables (22:42)
4. Python Numbers tutorial (47:00)
5. Python Tuples tutorial (1:19:11)
6. Strings in Python (01:39:41)
7. Python Sets & Dictionaries (02:01:57)
8. Python if,else statements (02:20:24)
9. Python Loops tutorial (02:32:48)
10. For Loop in Python (02:54:49)
11. While Loop in Python (03:13:57)
12. Arrays in Python (03:44:20)
13. Functions in Python (03:57:20)
14. Python Objects & Classes (04:12:48)
15. Python Threading (04:49:08)
16. Python scripting for beginners (05:03:18)
17. Top 5 Python libraries (05:27:11)
18. NumPy tutorial (05:42:55)
19. Python Pandas (06:12:59)
20. MatplotLib tutorial (06:58:18)
21. Scikit-Learn tutorial (07:50:09)
22. Web scraping using Python (08:33:43)
23. How to become a Python developer (09:11:41)
24. Python interview questions and answers (09:21:08)

We will also be looking at various inbuilt functions used with the data types in Python, functions as objects, args and kwargs keywords, constructors and even plotting different graphs. Finally, we will learn to build, train and test a random forest model using the Scikit-Learn library.
By the end of this tutorial you will learn to write programs in Python and basics of using Python for Machine learning and Data Science applications.

To learn more about Python Programming, subscribe to our YouTube channel:

Watch more videos on Python Training:

#PythonCourse #PythonFullCourse #LearnPythonIn10Hours #PythonCoding #pythontutorial #pythonforbeginners #pythonprogrammingforbeginners #pythontraining #pythontutorialforbeginners #numpypythontutorial #pythonsimplilearn #simplilearn

This Post Graduate Program in Data Analytics, in partnership with Purdue University and in collaboration with IBM, will make you an expert in data analytics. In this Data Analytics course, you'll learn analytics tools and techniques, the languages of R and Python (with no prior programming experience required), how to create data visualizations with Tableau, and how to apply statistics and analytics in a business environment. Simplilearn’s PGP in Data Analytics will provide you with extensive expertise in the booming data analytics and data science fields.

Key features:
1. Purdue Post Graduate Program Certification
2. Purdue Alumni Association Membership
3. Enrollment in Simplilearn’s JobAssist
4. Industry-recognized IBM certificates
5. 180+ hours of Blended Learning
6. 14+ hands-on projects on integrated labs
7. Capstone Project in 3 Domains
8. Masterclasses from Purdue faculty

Skills covered:
1. Data analytics
2. Statistical analysis using Excel
3. Data analysis: Python & R
4. Data visualization: Tableau & PowerBI
5. Linear and logistic regression modules
6. Clustering using k-meansSupervised learning

Program details:
Fast track your career in the data analytics field via a comprehensive curriculum covering the concepts of data analytics and statistics foundation, analyzing data using Python and R programming languages, interacting with databases using SQL, and visualizing the data using Tableau and powerBI.

Learn more at:

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Learn Python Course for Beginners [Tutorial] | Intellipaat

????Intellipaat Python course:
This python course for beginners is for everyone who is interested in Python but doesn't know what it is, how to program in python or know only the basics. In this python tutorial video you will learn python from scratch so if you are new in python then this video is for you. We have covered all the basics of python with hands on so you can practice it while watching the video.
#python #pythoncourse #pythontutorial #learnpython #pythonforbeginners

???? Read complete Python tutorial here:

???? Do subscribe to Intellipaat channel & get regular updates on videos:

???? Know top 5 reasons to learn python:

???? Watch complete Python tutorials here:

????Read the insightful blog on Python certification:

Why Python programming is important?

Python is a highly popular object-oriented language that is fast to learn and easy to deploy. It can run on various systems like Windows, Linux and Mac; this makes it highly coveted for the Data Analytics domain. Python’s design and libraries provide 10 times productivity compared to C, C++ or Java. A Senior Python Developer in the United States can earn $102,000 – Indeed

Why should you opt for a Python career?

If you want to fast-track your career then you should strongly consider Python. The reason for this is that it is one of the fastest growing and widely used programming languages. There is a huge demand for Python programmers. The salaries for Python programmers are very good. There is a huge growth opportunity in this domain as well. Hence this Intellipaat Python programming session is your stepping stone to a successful career!
------------------------------
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Please write us to sales@intellipaat.com, or call us at: +91- 7847955955 US : 1-800-216-8930(Toll Free)

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Learn Python Programming - Full Course for Beginners [2019]

Watch this Python tutorial for absolute beginners to learn Python programming from scratch. Includes full exercises and projects.

Python Full Course Part 2:
Full Python Course Part 3:
Practical Machine Learning Full Course:

Subscribe:

Link for notes and datasets:

Topics included:

Basics of Python
Hello World
Code Editors
Variables
variable declarations
First Program in Python
Data Types
Variables
Indentation
Single line comments
Multi-line comments
Basic arithmetic Division
Operator Precedence
Numbers & operators
Strings & string functions
Dictionaries
Dictionary functions
Tuples
Iterables
Conditions (if and else)
Nested if/else-statements,
Elif-statements
Logical operators
For-loops

What can we do with Python?

Web Development- ranging from simple to complex web applications, one can use Flask or Django frameworks.

Data Analysis- so many awesome libraries like Seaborn, Mathplotlib, Numpy and Pandas for data analysis and visualization.

Machine Learning- you name it! Predicting house price, predicting income, voice recogniztion, advertisement, movie recommendation, fraud detection, etc can be implemented using machine learning algorithms in Python.

Raspberry Pi and Computer Vision- face detection (OpenCV library), automation, robots.

Game Development – Pygame

Automating repetitive tasks – save tons of time.

Web Scraping- grab data from a given website.

Develop desktop apps

Browser automation – Selenium Webdriver

Python Tutorial for Beginners [Full Course] - Learn Python Full Course [2020]

This course will teach you about Python programming from the very basic to the advanced. It also very comprehensive for absolute beginners who want to get their hands dirty with programming or simply want to understand and learn about #python #programming in 2020.

⭐️ Contents ⭐
⌨️ (0:05) Program structure
⌨️ (4:49) Arithmetic operation
⌨️ (11:05) Data types conversion
⌨️ (14:57) Data types
⌨️ (21:02) Higher math functions
⌨️ (25:28) Naming variables
⌨️ (30:43) The input #function
⌨️ (41:35) The print function
⌨️ (52:02) Variables
⌨️ (56:38) Floating point
⌨️ (58:47) Classes of errors
⌨️ (1:1:00) Types of errors
⌨️ (1:8:00) Nested loop
⌨️ (1:10:00) Turtle graphics
⌨️ (1:18:00) For loop
⌨️ (1:28:00) The range function
⌨️ (1:35:00) Using multiple turtles
⌨️ (1:43:00) The random modules
⌨️ (1:55:10) Functions
⌨️ (2:0:30) The local and global variables
⌨️ (1:10:08) Nested if
⌨️ (2:16:22) Selection statement
⌨️ (2:22:08) Using elif for chain of condition
⌨️ (2:28:10) The while loop
⌨️ (2:38:10) The strings
⌨️ (2:49:10) Strings - part 2
⌨️ (2:57:10) Strings part3
⌨️ (3:4:10) Lists
⌨️ (3:14:10) Lists - part 2
⌨️ (3:22:10) Nested lists
⌨️ (3:29:10) Handling run time errors
⌨️ (3:31:10) Files
⌨️ (3:39:10) Files - part 2
⌨️ (3:44:10) Dictionaries
⌨️ (3:56:10) Classes and object

⭐️ Credits⭐
Course Author: Prof. J David Eisenberg
License: Creative Commons Attribution license (reuse allowed)

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Learn Python - Full Fundamental Course for Beginners | Python Tutorial for Beginners [2019]

This course will provides you a full introduction into all of the core concepts in python like data types, reserved words etc. Follow along with the videos and you will become a python programmer in less time and you will entered into Python world.
View this Python tutorial for beginners to learn Python programming from zero. Every topic explained in detail to make this best Python tutorial for beginners.

### Contents: ####
============================
1. (00:00:00) What is Python and Father of Python
2. (00:19:30) Easiness of Python when compared with Other Languages
3. (00:45:35) Why the name 'Python'
4. (00:53:29) Python as All Rounder
5. (01:04:28) Where we can use Python
6. (01:11:26) Features of Python: Part-1
7. (01:25:30) Features of Python: Part-2
8. (01:44:47) Features of Python: Part-3
9. (01:58:48) Features of Python: Part-4
10.(02:11:58) Features of Python Summary
11.(02:19:08) Limitations and Flavors of Python
12.(02:37:13) Python Versions
13.(02:51:05) Python Identifiers
14.(03:13:26) Python Reserved Words
15.(03:26:56) Data Types Introduction
16.(03:42:00) Data Types: int data type
17.(04:04:16) Data Types: Base Conversion Functions
18.(04:12:59) Data Types: float data type
19.(04:25:22) Data Types: complex data type
20.(04:38:47) Data Types: bool data type
21.(04:46:55) str data type representations by using single,double and triple quotes
22.(05:07:02) Data Types: str data type - positive and negative index
23.(05:14:16) Data Types: str data type - Slice Operator
24.(05:30:45) Data Types: str data type - Slice Operator Applications
25.(05:43:26) Data Types: + and * operators for str data type
26.(05:56:29) Type Casting: introduction and int() function
27.(06:10:00) Type Casting: float() and complex() functions
28.(06:32:34) Type Casting: bool() and str() functions
29.(06:44:57) Type Casting: Summary
30.(06:53:39) Fundamental Data Types vs Immutability : Meaning Of Immutability
31.(07:08:21) Fundamental Data Types vs Immutability : Need Of Immutability
32.(07:29:06) Immutability vs Mutability
33.(07:49:26) Python Data Types: List data type
34.(08:14:00) Python Data Types: Tuple data type
35.(08:35:53) Python Data Types: Set data type
36.(08:56:58) Python Data Types: FrozenSet
37.(09:07:39) Python Data Types: Dict
38.(09:24:18) Python Data Types: range
39.(09:48:35) Python Data Types: bytes and bytearray
40.(10:05:25) Python Data Types Summary
41.(10:25:13)None Data Type
42.(10:37:46)Escape Characters,Comments and Constants

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Learn Python by Building Five Games - Full Course

Learn Python in this full tutorial course for beginners. This course takes a project-based approach. We have collected five great Python game tutorials together so you can learn Python while building five games. If you learn best by doing, this is the course for you.

???? Learn Python syntax in our other Python course:
???? Learn Pygame:

⭐️ Course Contents ⭐️

⌨️ (0:01:18) Pong
???? Sound file:
???? Code:
???? Tutorial from Christian Thompson. Channel:

⌨️ (0:45:36) Snake
???? Code:
???? Tutorial from Tech with Tim. Channel:

⌨️ (1:34:57) Connect Four
???? Code:
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⌨️ (2:42:36) Tetris
???? Starter File:
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⌨️ (4:22:12) Online Multiplayer Game
???? Code:
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Python Full Course for Beginners [Tutorial] 2019 | by Clever Programmer

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???? TABLE OF CONTENTS... ENJOY ????

Installing Python: 1:42

Hello World Program: 3:38

Turtle in Python: 9:31

Interactive Shell vs. Script: 14:54

Variables in Python: 20:07

Strings in Python: 23:36

Functions in Python: 28:13

Multiple Function Arguments: 36:36

Loops in Python: 45:49

Primitive Data Types: 51:31

String Slicing: 55:51

Lists in Python: 01:13:34

Append List Method: 01:26:07

Project 1: Circle of Squares: 01:35:32

Solution: Circle of Squares: 01:37:59

Dictionaries in Python: 01:47:59

Boolean algebra in Python: 02:04:26

Logical Operators in Python: 02:15:14

Control Flow in Python: 02:30:41

For Loops in Python: 02:46:42

While Loops in Python: 03:07:27

Exercise 1: Sum Two: 03:21:29

Exercise 2: Square Number: 03:26:49

Exercise 3: Check is Even: 03:33:55

Exercise 4: Check is Odd: 03:40:29

Exercise 5: Length of a String: 03:44:02

Exercise 6: Last Letter of a String: 03:51:56

Exercise 7: Find the Bigger Guy: 03:55:17

Exercise 8: Find the Biggest Guy: 03:59:16

Exercise 9: Usain Bolt Races Against You: 04:08:41

Exercise 10: Rock Paper Scissors: 04:19:29

Solution: Rock Paper Scissors: 04:30:17

Exercise 11: Square a List: 04:48:40

Tuples in Python: 04:51:46

Mutability in Python: 04:56:26


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Python Tutorial for Absolute Beginners #1 - What Are Variables?

Learn Python programming with this Python tutorial for beginners!

Tips:
1. Here is the playlist of this series:
2. If you want to learn faster than I talk, I’d recommend 1.25x or 1.5x speed :)
3. Check the outline in the comment section below if you want to skip around.
4. Download the sample files here to follow along (they are Jupyter Notebook files):
5. Have fun! If anything is unclear, please let me know in a comment.

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Outline (check the comment section for a clickable version):
0:00 : Introduction
0:17 : Who’s this tutorial for?
0:30 : An outline of this video
1:18 : What is Python and what can you do with it?
2:01 : What is IDE and why I chose Jupyter Notebook
3:09 : How Jupyter Notebook works
4:19 : How to install Python and Jupyter (through Anaconda)
5:58 : Launching Jupyter
7:59 : The print() function
10:24 : Introduction to variables
13:08 : What are variables (in Python)?
16:42 : Assigning a variable to another variable
19:03 : A practice problem - swapping two variables
20:40 : Solutions to the practice problem - swapping two variables

Python for Everybody - Full Course with Dr. Chuck

This Python 3 tutorial course aims to teach everyone the basics of programming computers using Python. The course has no pre-requisites and avoids all but the simplest mathematics.

???? Sample Code Zip:
???? Lecture Slides and Handouts:
???? Free Textbook:
???? Course Website:

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Why Program?
⌨️ (0:12:21) Why Program? - Hardware Architecture
⌨️ (0:24:24) Python 3 Windows Installation
⌨️ (0:32:34) Python 3 Mac Installation
⌨️ (0:36:41) Why Program? - Python as a Language
⌨️ (0:44:17) Why Program? - What do we say?

⌨️ (0:56:55) Variables, Expressions, and Statements
⌨️ (1:06:20) Variables, Expressions, and Statements - Expressions

⌨️ (1:26:00) Conditional Execution
⌨️ (1:39:13) Conditional Execution - More Conditional Structures

⌨️ (1:52:48) Functions
⌨️ (2:03:02) Functions - Functions of our own

⌨️ (2:15:21) Loops and Iteration
⌨️ (2:25:04) Loops and Iteration - Definite Loops
⌨️ (2:31:40) Loops and Iteration - Loop Idioms
⌨️ (2:40:07) Loops and Iteration - More Loop Patterns

⌨️ (2:58:39) Strings
⌨️ (3:09:06) Strings - More String Operations

⌨️ (3:27:33) Reading Files
⌨️ (3:35:12) Reading Files - Reading Files in Python

⌨️ (3:48:42) Python Lists
⌨️ (3:59:27) Python Lists - Loop Operations
⌨️ (4:08:52) Python Lists - Strings vs. Lists
⌨️ (4:16:42) Python Lists - Strings, Files, Lists & the Guardian Pattern

⌨️ (4:28:44) Dictionaries
⌨️ (4:36:32) Dictionaries - Counting
⌨️ (4:45:43) Dictionaries - Counting Words in Text
⌨️ (4:58:21) Dictionaries - Counting Word Frequency Using a Dictionary

⌨️ (5:22:46) Tuples
⌨️ (5:32:18) Tuples - Sorting
⌨️ (5:44:26) Tuples - Sorting a Dictionary Using Tuples

⌨️ (5:54:56) Regular Expressions
⌨️ (6:05:21) Regular Expressions - From Matching to Extracting
⌨️ (6:13:47) Regular Expressions - String Parsing

⌨️ (6:22:17) Networked Programs
⌨️ (6:29:45) Networked Programs - Application Protocols
⌨️ (6:38:56) Networked Programs - Write a Web Browser
⌨️ (6:43:10) Networked Programs - Code Example: socket1.py
⌨️ (6:48:58) Networked Programs - Characters and Strings
⌨️ (6:59:57) Networked Programs - urllib
⌨️ (7:05:10) Networked Programs - Code Example: urllib1.py, urlwords.py
⌨️ (7:08:25) Networked Programs - Parsing HTML
⌨️ (7:14:48) Networked Programs - Code Example: urllinks.py

⌨️ (7:23:43) Using Web Services
⌨️ (7:26:35) Using Web Services - XML
⌨️ (7:32:02) Using Web Services - Code Example: xml1.py, xml2.py
⌨️ (7:37:40) Using Web Services - XML Schema
⌨️ (7:51:32) Using Web Services - JavaScipt Notation
⌨️ (7:57:45) Using Web Services - Code Example: json1.py, json2.py
⌨️ (8:03:08) Using Web Services - Service Oriented Approach
⌨️ (8:04:44) Using Web Services - Web Services
⌨️ (8:11:33) Using Web Services - Code Example: geojson.py
⌨️ (8:18:49) Using Web Services - API Security & Rate Limiting
⌨️ (8:28:45) Using Web Services - Code Example: twitter1.py, twitter2.py

⌨️ (8:48:01) Python Objects
⌨️ (8:58:28) Python Objects - Sample Code
⌨️ (9:06:50) Python Objects - Object Lifecycle
⌨️ (9:13:19) Python Objects - Inheritance

⌨️ (9:20:44) Databases
⌨️ (9:35:55) Databases - SQLite Browser
⌨️ (9:45:40) Databases - Code Sample: emaildb.py
⌨️ (9:58:55) Databases - Code Sample: twspider.py
⌨️ (10:08:06) Databases - Database Design
⌨️ (10:16:29) Databases - Representing Relationships
⌨️ (10:20:37) Databases - Relationship Building
⌨️ (10:33:05) Databases - Join Operation
⌨️ (10:43:13) Databases - Code Sample: tracks.py
⌨️ (10:57:45) Databases - Many-to-Many Relationships
⌨️ (11:09:37) Databases - Code Sample: roster.py
⌨️ (11:20:40) Databases - Code Sample: twspider.py

⌨️ (11:20:40) Data Visualization
⌨️ (11:48:18) Data Visualization - Code Sample: Geodata
⌨️ (12:01:05) Data Visualization - Page Rank
⌨️ (12:12:14) Data Visualization - Code Sample: Pagerank Spidering
⌨️ (12:29:12) Data Visualization - Code Sample: Pagerank Computation
⌨️ (12:44:17) Data Visualization - Code Sample: Pagerank Visualization
⌨️ (12:44:17) Data Visualization - Mailing List Crawl
⌨️ (12:57:08) Data Visualization - Code Sample: Gmane Data Retrieval
⌨️ (13:13:42) Data Visualization - Code Sample: Gmane Data Modeling
⌨️ (13:26:04) Data Visualization - Code Sample: Gmane Data Visualization

This course was created by Dr. Charles Severance (a.k.a. Dr. Chuck). He is a Clinical Professor at the University of Michigan School of Information, where he teaches various technology-oriented courses including programming, database design, and Web development.

Python for Everybody by Dr. Chuck Severance and the University of Michigan is licensed under CC BY.

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Full Python Programming Course | Python Tutorial for Beginners | Learn Python

Python is one of top 5 programming languages today. If you want to pursue a career, this language is a must for you.This course has been created for beginners.

✔ Contents ✔
???? (0:01:00) 0 - Course Introduction
???? (0:02:29) 1 - Introduction to Python (For Absolute Beginners)
???? (0:10:41) 2 - How to Install Python 3 on Windows 10
???? (0:16:19) 3 - Basic Math, Mathematical Operators and Python Expressions
???? (0:28:40) 4 - Python Variables and Types
???? (0:40:37) 5 - Python print() and input() Function
???? (0:53:05) 6 - Python Built-in Functions and Built-in Module
???? (1:00:10) 7 - Creating and Executing your First Python Script (Run .py file)
???? (1:12:36) 8 - Install PyCharm ( Python IDE ) on Windows 10 + First Project
???? (1:20:36) 9 - Python Strings and Comments
???? (1:35:14) 10 - Boolean, Comparison Operators and Logical Operators in Python
???? (1:46:08) 11 - Python IF ELSE Statements
???? (1:54:53) 12 - Python IF...ELIF...ELSE Statements + nested IF statements
???? (2:03:41) 13 - Python Lists
???? (2:13:37) 14 - Python Tuples
???? (2:20:22) 15 - Python Sets
???? (2:33:54) 16 - Python Dictionary
???? (2:42:59) 17 - Python Slice and Negative index
???? (2:53:44) 18 - Python while Loop
???? (3:03:50) 19 - Python for Loop
???? (3:11:43) 20 - Python break, continue statement
???? (3:18:28) 21 - Python Functions
???? (3:30:47) 22 - Default Arguments, *args and **kwargs (Variable-length Arguments)
???? (3:38:27) 23 - Introduction to Object-Oriented Programming (OOP)
???? (3:48:24) 24 - Classes and Objects in Python (OOP)
???? (3:58:23) 25 - Python __init__ and self in class
???? (4:10:18) 26 - Is it possible to define multiple constructors in Python?
???? (4:18:14) 27 - Python Encapsulation
???? (4:29:39) 28 - Private methods in Python
???? (4:35:48) 29 - Python Inheritance
???? (4:50:47) 30 - How To Create Modules in Python 3
???? (5:03:10) 31 - Python Multiple Inheritance
???? (5:08:38) 32 - Python super()
???? (5:16:15) 33 - Python Composition
???? (5:21:51) 34 - Python Aggregation + Difference in Aggregation and Composition
???? (5:28:54) 35 - Python Abstract Classes
???? (5:37:16) 36 - Python Exception handling + Python Try Except
???? (5:52:06) 37 - Try Except Else Finally (Python Exception handling)
???? (5:57:47) 38 - Raising Exceptions In Python
???? (6:03:50) 39 - Raising Custom Exceptions (Writing and Using Custom Exceptions)
???? (6:08:30) 40 - Idea behind : if __name__ == __main__
???? (6:15:38) 41 - Create a Text File and Write in It Using Python
???? (6:28:50) 42 - Reading Files in Python
???? (6:40:13) 43 - Working With JSON Data in Python
???? (6:52:00) 44 - Python Iterators
???? (7:06:19) 45 - Python Generators
???? (7:22:13) 46 - Command Line Arguments in Python with argparse
???? (7:40:24) 47 - Lambda, filter, reduce and map
???? (7:58:54) 48 - Python Closures + nested functions
???? (8:12:37) 49 - Python Decorators
???? (8:32:25) 50 - Python Operator Overloading
???? (8:49:06) 51 - An Introduction to Python Debugger (pdb)
???? (9:10:00) 52 - How to use PyCharm to debug Python code
???? (9:18:16) 53 - How to use Pip and PyPI for managing Python packages
???? (9:25:55) 54 - How to Install Pip packages using PyCharm
???? (9:30:51) 55 - Global, Local and Nonlocal variables in Python

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Feel the real power of Python and programming! This is a Python tutorial for beginners to learn Python programming from scratch. The course offers you a unique approach of learning how to code by solving real world problems. Throughout the course we will be understanding how to identify and formulate the problems, what is the key to a great app, we will learn how to efficiently adopt the problem for the computer and the most important that you will be writing a lot of code! The course is structured in a way that lectures are like labs where we study the material, do the quizzes, write programs and test them! The most important that you will be involved into work a lot in order to get the best experience! Learn Python at easy to understand steps.

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Python Tutorial for Beginners - Full Course in 11 Hours [2020]

Join the 3-part epic masterclass that shows you how to become a 6-figure developer...

If you want to enroll in an EPIC Python course where you can have exercises and projects all under one account & for FREE... Click this link:

The tool I'm using to write my Python code online...

???? TABLE OF CONTENTS... ENJOY ????

1. Variables (2:47)
2. Functions (8:50)
3. Calendar (14:10)
4. If Else Statements (37:17)
5.While Loops (43:17)
6. For Loops (49:07)
7. Data Types (53:05)
8. Casting (56:37)
9. Strings (59:57)
10.Lists (1:03:23)
11.Slicing (1:17:07)
12. Split and Join (1:39:42)
13. Tuples (1:47:57)
14. Sets (1:58:55)
15. Dictionaries (2:16:50)
16. Mutability (2:50:24)
17.List Comprehension (3:02:43)
18. Regex (3:14:00)
19. Datetime Module (3:34:06)
20.Web Scraping (4:03:03)
21. Zip Functions (4:32:00)
22. Project: Tic Tac Toe (4:53:54)
23. Project: Twilio SMS App (5:59:00)
24. Project: To-Do List App (6:20:51)
25. Project: Craigslist Clone (7:13:54)
26. Python Freelancer Guide (10:11:10)

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Python Tutorial for Beginners [Full Course] Learn Python for Web Development

Python tutorial for beginners - Learn Python for machine learning and web development.
????Get my Complete Python Programming Course for $29 (reg price $149) - LIMITED TIME:

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????Python Exercises for Beginners



⭐My Favorite Python Books
- Python Crash Course:
- Automate the Boring Stuff with Python:
- A Smarter Way to Learn Python:
- Machine Learning for Absolute Beginners:
- Hands-on Machine Learning with scikit-learn and TensorFlow:


TABLE OF CONTENT

00:00:00 Introduction
00:01:49 Installing Python 3
00:06:10 Your First Python Program
00:08:11 How Python Code Gets Executed
00:11:24 How Long It Takes To Learn Python
00:13:03 Variables
00:18:21 Receiving Input
00:22:16 Python Cheat Sheet
00:22:46 Type Conversion
00:29:31 Strings
00:37:36 Formatted Strings
00:40:50 String Methods
00:48:33 Arithmetic Operations
00:51:33 Operator Precedence
00:55:04 Math Functions
00:58:17 If Statements
01:06:32 Logical Operators
01:11:25 Comparison Operators
01:16:17 Weight Converter Program
01:20:43 While Loops
01:24:07 Building a Guessing Game
01:30:51 Building the Car Game
01:41:48 For Loops
01:47:46 Nested Loops
01:55:50 Lists
02:01:45 2D Lists
02:05:11 My Complete Python Course
02:06:00 List Methods
02:13:25 Tuples
02:15:34 Unpacking
02:18:21 Dictionaries
02:26:21 Emoji Converter
02:30:31 Functions
02:35:21 Parameters
02:39:24 Keyword Arguments
02:44:45 Return Statement
02:48:55 Creating a Reusable Function
02:53:42 Exceptions
02:59:14 Comments
03:01:46 Classes
03:07:46 Constructors
03:14:41 Inheritance
03:19:33 Modules
03:30:12 Packages
03:36:22 Generating Random Values
03:44:37 Working with Directories
03:50:47 Pypi and Pip
03:55:34 Project 1: Automation with Python
04:10:22 Project 2: Machine Learning with Python
04:58:37 Project 3: Building a Website with Django


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Python Full Course - Learn Python in 12 Hours | Python Tutorial For Beginners | Edureka

** Python Programming Certification Course: **
This Edureka Python Tutorial for Beginners will help you learn Python programming language and its core concepts with examples from scratch. This Python tutorial video helps you to learn the following concepts:
1:55 What is Python?
3:40 Why is Python popular?
4:55 Features of Python
6:50 Where is Python used in the industry?
7:50 Learning Path
9:15 Career Opportunities
10:30 How Netflix use Python?
11:55 How does it use Python?
18:15 Python Developer Salary
18:50 Who is Python Developer?
19:20 Python Developer Job Trends
21:55 How to become a Python Developer?
23:05 Who is a Python developer?
33:50 Job Roles
41:40 Emerging Job Roles
44:30 Road Map
47:05 Python Installation
54:30 How to run a Python program?
58:35 Best IDE for Python
59:35 What is an IDE?
59:50 Features of an IDE
1:00:50 Best IDEs of Python
1:07:40 PyCharm Tutorial
1:07:42 Introduction to PyCharm
1:09:07 Features of PyCharm
1:28:02 Comments in Python
1:28:52 What are Comments?
1:29:47 When to use Python?
1:30:22 How to write comments in Python?
1:32:22 Types of Comments
1:35:57 Docstring Comments
1:39:02 Variables & Data Types
1:39:17 Variable definition & Declaration
1:41:22 Data Types
1:41:42 Numbers
1:43:12 String
1:46:02 List
1:48:12 Dictionary
1:50:12 Tuple
1:51:27 Set
1:53:52 Type Conversion
1:54:42 Python Collections
1:57:12 Specialised Collections Data Types
2:14:57 Arrays
2:15:32 What is an Array?
2:17:27 How to create Arrays in Python?
2:20:52 Accessing Array Elements
2:22:42 Basic Array Operations
2:24:27 Adding elements to an Array
2:27:52 Removing Elements of an Array
2:33:42 Slicing an Array
2:36:12 Looping through an Array
2:39:57 Hash Table and HashMap
2:41:37 Creating Dictionaries
2:44:02 Nested dictionaries
2:46:52 Performing Operations on Hash Table
2:55:32 Operators in Python
3:13:17 Loops in Python
3:13:52 Why to use Python?
3:16:12 What are Loops?
3:18:07 Loops in Python
3:18:17 While Loop
3:26:22 For Loop
3:32:22 Nested Loop
3:48:12 Patterns in Python
4:24:27 File Handling
4:25:07 Why need File Handling
4:27:02 Types of Files
4:28:37 What is File Handling?
4:29:22 Python File Handling System
4:32:52 File Operations for Reading
4:41:27 Python File Write Method
4:47:37 Decorator
4:48:22 Functions in Python
4:54:07 Decorators in Python
5:08:32 Lambda
5:10:17 How to write Anonymous functions?
5:29:02 Map-Reduce Functions
5:29:47 Introduction to map(), filter(), reduce()
5:46:22 What are Generators?
5:47:32 Normal functions vs Generators
5:48:02 Writing Generators in Python
5:52:57 Generators with Loops
5:53:57 Generator Expressions
5:56:22 Use-Cases
6:02:27 OOPS Concepts
6:03:07 Classes & Objects
6:33:47 Inheritance in Python
6:36:52 Types of Inheritance
6:42:47 Python Super Function
6:44:52 Exception Handling
6:54:42 Try & Except block
7:05:52 Python Module
7:07:47 How to create a Module?
7:17:33 Python Modules Search Path
7:24:23 Date & Time
7:24:58 time module
7:38:23 Numpy
7:38:58 What is Numpy?
7:41:43 Numpy vs List
7:49:03 Numpy Operations
8:05:23 Numpy Special Functions
8:09:58 SciPy
8:10:48 What is Python SciPy?
8:12:23 Basic Functions
8:15:48 Special Functions
8:18:53 Integration Functions
8:24:43 Linear Algebra
8:26:48 Interpolation Functions
8:28:18 Pandas
8:29:18 Data life-cycle
8:31:23 What is Pandas?
8:35:33 Pandas Operations
8:54:13 Example
8:59:38 Python for Statistics
9:02:43 Pydoop
9:04:03 Matplotlib
9:04:28 Data Visualization
9:09:13 Matplotlib
9:10:13 Types of Plots
9:30:13 Multiple Plots
9:32:18 Seaborn
9:32:53 Introduction to Seaborn
9:33:33 Seaborn vs Matplotlib
9:34:28 How to install Seaborn?
9:34:48 Installing Dependencies
9:35:33 Python Seaborn Functions
9:44:23 Multi-Plot Grids
9:47:08 Plot Aesthetics
9:50:58 FIFA Use-case
10:15:33 OpenCV Tutorial
10:16:03 What is Computer Vision?
10:16:48 How computer reads an Image?
10:18:53 What is OpenCV?
10:19:58 Basic operations with OpenCV
10:27:33 Face Detection
10:27:38 Face Detection using OpenCV
10:31:53 Capturing Video
10:43:28 Use-case - Motion Detector
10:54:58 Web Development Framework
10:55:23 What are Frameworks in Python?
11:08:34 Python Web Development
11:09:04 Python Web Development Libraries
11:09:24 Python & Django
11:28:19 Web Scraping
11:33:49 Packages used for web Scraping

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Learn Python - Full Course for Beginners [Tutorial]

This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you'll be a python programmer in no time!

⭐️ Contents ⭐
⌨️ (0:00) Introduction
⌨️ (1:45) Installing Python & PyCharm
⌨️ (6:40) Setup & Hello World
⌨️ (10:23) Drawing a Shape
⌨️ (15:06) Variables & Data Types
⌨️ (27:03) Working With Strings
⌨️ (38:18) Working With Numbers
⌨️ (48:26) Getting Input From Users
⌨️ (52:37) Building a Basic Calculator
⌨️ (58:27) Mad Libs Game
⌨️ (1:03:10) Lists
⌨️ (1:10:44) List Functions
⌨️ (1:18:57) Tuples
⌨️ (1:24:15) Functions
⌨️ (1:34:11) Return Statement
⌨️ (1:40:06) If Statements
⌨️ (1:54:07) If Statements & Comparisons
⌨️ (2:00:37) Building a better Calculator
⌨️ (2:07:17) Dictionaries
⌨️ (2:14:13) While Loop
⌨️ (2:20:21) Building a Guessing Game
⌨️ (2:32:44) For Loops
⌨️ (2:41:20) Exponent Function
⌨️ (2:47:13) 2D Lists & Nested Loops
⌨️ (2:52:41) Building a Translator
⌨️ (3:00:18) Comments
⌨️ (3:04:17) Try / Except
⌨️ (3:12:41) Reading Files
⌨️ (3:21:26) Writing to Files
⌨️ (3:28:13) Modules & Pip
⌨️ (3:43:56) Classes & Objects
⌨️ (3:57:37) Building a Multiple Choice Quiz
⌨️ (4:08:28) Object Functions
⌨️ (4:12:37) Inheritance
⌨️ (4:20:43) Python Interpreter


Course developed by Mike Dane. Check out his YouTube channel for more great programming courses:

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