Code  Camp

Code Camp

1556806645

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.

⭐️ 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.

#python #machine-learning #web-development #developer

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Python for Everybody - Full Course with Dr. Chuck
Ray  Patel

Ray Patel

1619518440

top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Sival Alethea

Sival Alethea

1624380960

Python for Everybody - Full University Python Course

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.
⭐️ 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.
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=8DvywoWv6fI&list=PLWKjhJtqVAbnqBxcdjVGgT3uVR10bzTEB&index=5
🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
☞ **-----CLICK HERE-----**⭐ ⭐ ⭐
Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#python #full university python course #python for everybody #university #everybody

Ray  Patel

Ray Patel

1619510796

Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Sival Alethea

Sival Alethea

1624291780

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
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=rfscVS0vtbw&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=3

🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
☞ **-----CLICK HERE-----**⭐ ⭐ ⭐
Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#python #learn python #learn python for beginners #learn python - full course for beginners [tutorial] #python programmer #concepts in python

Ananya Gupta

1597657530

Python Roadmap To Become a Python Developer

In a universe of Java, Python is rapidly advancing into the graphs. Python engineers are highly sought after, and not all that high in gracefully. This implies they likewise get paid a ton. In case you’re understanding this, it presumably implies you’ve chosen or are choosing to begin a profession in Python and need to turn into a Python Developer. How to get an occupation as a Python Developer? This article will attempt to answer every one of your inquiries about the a Python Developer.

Before we figure out how to turn into a python designer, how about we investigate why you ought to learn Python.

Why Learn Python?

To just say, Python is at #3 in the TIOBE Index (for the fame of programming dialects) for 2019. Furthermore, in the rundown of top programming dialects for 2019 by the IEEE Spectrum, it is at #1. Python is incredible both for tenderfoots to programming and for experienced coders. In any case, what makes it far better is that Python is being favored for areas like Data Science, Machine Learning, and Artificial Intelligence. It has incredible logical capacities and different libraries designed for these areas, it is an exceptionally amazing universally useful language to learn Python? Presently, how about to Jumpstart Your Career With Python how to do it to find a new line of work as a Python Developer.

**How to Become a Python Developer? **

The following is the Python designer guide –

Choose to learn Python; choose why you need to do it.

Follow online instructional exercises. DataFlair has this extensive rundown of Python instructional exercises where you’ll discover everything at one spot. Continue rehearsing as you learn.

Peruse some great books on Python and join up with an online Python course. DataFlair just propelled its Certified Python Course to assist you with learning Python. Here, you’ll comprehend the ideas, unravel practicals and tasks, and even work on some energizing ventures.

**Continue perusing the official Python documentation for various builds. **

Bring a look into the source code of your preferred Python bundle to know how it functions.

Step by step instructions to turn into a python designer

Follow these means to turn into the following Python Developer –

1.What to Learn in Python?

Get familiar with the fundamentals. Find out about its history, language structure, establishment, and some fundamental builds like articulations, factors, and administrators.

Get some answers concerning the utilization of Python. Likewise, comprehend the contrasts between Python 2 and Python 3.

Find out about fundamental information structures like records, sets, and word references.

Comprehend significant ideas like dynamics and circles.

Figure out how to make a virtual domain.

Proceed onward to capacities and recursion.

Begin with object-arranged ideas like classes and strategies, and legacy and over-burdening.

Get some answers concerning modules and bundles, and get some involvement in like manner modules like os, namedtuple, and schedule.

Learn document taking care of. Find out about more intricate themes like generators and decorators, and shallow and profound duplicating.

Likewise, figure out how to produce and utilize arbitrary numbers and customary articulations.

Find out about more mind-boggling subjects like systems administration, XML preparation, and multiprocessing.

Figure out how to fabricate GUIs with Python.

Get some answers concerning special cases and how to deal with them.

Figure out how to utilize SciPy, NumPy, and Pandas.

Figure out how to investigate, unit-test, log, serialize, and get to the database.

**2.Things to ace Python **

**Systems **

You should now figure out how to chip away at a system. Python has some extremely incredible structures like Django, Flask, and CherryPy. You can start with Django, which is an extremely ground-breaking structure following the DRY (Don’t Repeat Yourself) guideline. It makes work simpler for you and deals with inconsequential things.

ORM Libraries

ORM represents Object Relational Mapping. This is an approach to question and control information from a database utilizing an item situated worldview. You can figure out how to utilize ORM libraries like SQLAlchemy and Django ORM. This is simpler and quicker than composing SQL.

**Front-End Technologies **

Innovations like HTML5, CSS3, and JavaScript/jQuery are not necessity to be a Python engineer. In any case, in the event that you can, attempt to increase a fundamental comprehension of these, and they will let you see how things work and what is conceivable. As a Python engineer, you may need to work with the front-end group.

**Adaptation Control **

Changes to code on numerous occasions by various individuals can eventually break it. You ought to learn GitHub and its straightforward terms like push, pull, fork, and submit on the off chance that you need to execute rendition control (you should).

3.Fabricate Projects in Python

You presently have enough aptitudes; assembling some close to home python ventures will give you certainty. You can likewise fabricate something to attempt to take care of a real issue you face. When you feel sufficiently sure, you would then be able to work for famous open-source ventures like Django.

**Who is a Good Python Developer? **

To be a decent Python designer, you will require something other than specialized information and the accompanying abilities which you get through online python certification training class:

**A critical thinking attitude **

Solid relational abilities You’ll have to impart venture necessities and highlights to your group. This will likewise assist you with composing better documentation.

Excitement to learn new instruments and libraries

Information on how things work inside

Strong Specialized Aptitudes

Since you comprehend what to realize and how to do it, prepare and take on this Python course to transform you.

#python online training #python online course #python course #python training #python certification course