Introduction to Python 3 (basics) - Learning to Program with Python 3
🎬 13 lessons
⏰ 2 hours of video + code examples and readings
🔗 Link to course
Intermediate Python Programming introduction
🎬 28 lessons
⏰ 4.5 hours of video + code examples and readings
🔗 Link to course
Sockets Tutorial with Python 3 part 1 - sending and receiving data
🎬 5 lessons
⏰ 100 minutes of video + code examples and readings
🔗 Link to course
#python
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🎬 13 lessons
⏰ 2 hours of video + code examples and readings
🔗 Link to course
Intermediate Python Programming introduction
🎬 28 lessons
⏰ 4.5 hours of video + code examples and readings
🔗 Link to course
Sockets Tutorial with Python 3 part 1 - sending and receiving data
🎬 5 lessons
⏰ 100 minutes of video + code examples and readings
🔗 Link to course
#python
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pythonprogramming.net
Python Programming Tutorials
Python Programming tutorials from beginner to advanced on a massive variety of topics. All video and text tutorials are free.
👍2
One of you guys asked about C++ materials, So here are few free C++ courses and learning materials:
C++ Tutorial for Complete Beginners
⭐️ 4.6 (41,345 ratings)
👨🎓 548,853 students
⏰ 17hr 59min of on-demand video
👨🏫 Created by John Purcell
🔗 Course link
————————————————-
University of Cambridge Department of Engineering offers a beginner’s resource for starting C++. Resources include local teaching; general references, tutorials and online resources.
🔗 Resources link
————————————————-
Programming Methodology course by Stanford University covers such advanced programming topics as recursion, algorithmic analysis, and data abstraction using the C++ programming language. Advanced memory management features of C and C++; the differences between imperative and object-oriented paradigms; concurrent programming (using C and C++) is covered in programming paradigm course.
🔗 Programming methodology course link
🔗 Programming paradigm course link
#cplusplus #c++ #cpp
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C++ Tutorial for Complete Beginners
⭐️ 4.6 (41,345 ratings)
👨🎓 548,853 students
⏰ 17hr 59min of on-demand video
👨🏫 Created by John Purcell
🔗 Course link
————————————————-
University of Cambridge Department of Engineering offers a beginner’s resource for starting C++. Resources include local teaching; general references, tutorials and online resources.
🔗 Resources link
————————————————-
Programming Methodology course by Stanford University covers such advanced programming topics as recursion, algorithmic analysis, and data abstraction using the C++ programming language. Advanced memory management features of C and C++; the differences between imperative and object-oriented paradigms; concurrent programming (using C and C++) is covered in programming paradigm course.
🔗 Programming methodology course link
🔗 Programming paradigm course link
#cplusplus #c++ #cpp
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👍5
Free Resources to learn C & C++ Programming
👇👇
Fundamentals of Programming Languages Free Udacity course
🔗 Course Link
C++ for Programmers Free Udacity Course
🔗 Course Link
C++ Tutorial for Complete Beginners Free Udemy Course
🔗 Course Link
C Programming documentation from Microsoft
🔗 Course Link
C Programming Free Book
🔗 Book Link
C++ Notes for Professional Free Book
🔗 Book Link
#c #cpp #cplusplus
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Share with your friends! 💯🚀
Enjoy Learning 👍
👇👇
Fundamentals of Programming Languages Free Udacity course
🔗 Course Link
C++ for Programmers Free Udacity Course
🔗 Course Link
C++ Tutorial for Complete Beginners Free Udemy Course
🔗 Course Link
C Programming documentation from Microsoft
🔗 Course Link
C Programming Free Book
🔗 Book Link
C++ Notes for Professional Free Book
🔗 Book Link
#c #cpp #cplusplus
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Share with your friends! 💯🚀
Enjoy Learning 👍
❤1
10 Ways to Speed Up Your Python Code
1. List Comprehensions
numbers = [x**2 for x in range(100000) if x % 2 == 0]
instead of
numbers = []
for x in range(100000):
if x % 2 == 0:
numbers.append(x**2)
2. Use the Built-In Functions
Many of Python’s built-in functions are written in C, which makes them much faster than a pure python solution.
3. Function Calls Are Expensive
Function calls are expensive in Python. While it is often good practice to separate code into functions, there are times where you should be cautious about calling functions from inside of a loop. It is better to iterate inside a function than to iterate and call a function each iteration.
4. Lazy Module Importing
If you want to use the time.sleep() function in your code, you don't necessarily need to import the entire time package. Instead, you can just do from time import sleep and avoid the overhead of loading basically everything.
5. Take Advantage of Numpy
Numpy is a highly optimized library built with C. It is almost always faster to offload complex math to Numpy rather than relying on the Python interpreter.
6. Try Multiprocessing
Multiprocessing can bring large performance increases to a Python script, but it can be difficult to implement properly compared to other methods mentioned in this post.
7. Be Careful with Bulky Libraries
One of the advantages Python has over other programming languages is the rich selection of third-party libraries available to developers. But, what we may not always consider is the size of the library we are using as a dependency, which could actually decrease the performance of your Python code.
8. Avoid Global Variables
Python is slightly faster at retrieving local variables than global ones. It is simply best to avoid global variables when possible.
9. Try Multiple Solutions
Being able to solve a problem in multiple ways is nice. But, there is often a solution that is faster than the rest and sometimes it comes down to just using a different method or data structure.
10. Think About Your Data Structures
Searching a dictionary or set is insanely fast, but lists take time proportional to the length of the list. However, sets and dictionaries do not maintain order. If you care about the order of your data, you can’t make use of dictionaries or sets.
1. List Comprehensions
numbers = [x**2 for x in range(100000) if x % 2 == 0]
instead of
numbers = []
for x in range(100000):
if x % 2 == 0:
numbers.append(x**2)
2. Use the Built-In Functions
Many of Python’s built-in functions are written in C, which makes them much faster than a pure python solution.
3. Function Calls Are Expensive
Function calls are expensive in Python. While it is often good practice to separate code into functions, there are times where you should be cautious about calling functions from inside of a loop. It is better to iterate inside a function than to iterate and call a function each iteration.
4. Lazy Module Importing
If you want to use the time.sleep() function in your code, you don't necessarily need to import the entire time package. Instead, you can just do from time import sleep and avoid the overhead of loading basically everything.
5. Take Advantage of Numpy
Numpy is a highly optimized library built with C. It is almost always faster to offload complex math to Numpy rather than relying on the Python interpreter.
6. Try Multiprocessing
Multiprocessing can bring large performance increases to a Python script, but it can be difficult to implement properly compared to other methods mentioned in this post.
7. Be Careful with Bulky Libraries
One of the advantages Python has over other programming languages is the rich selection of third-party libraries available to developers. But, what we may not always consider is the size of the library we are using as a dependency, which could actually decrease the performance of your Python code.
8. Avoid Global Variables
Python is slightly faster at retrieving local variables than global ones. It is simply best to avoid global variables when possible.
9. Try Multiple Solutions
Being able to solve a problem in multiple ways is nice. But, there is often a solution that is faster than the rest and sometimes it comes down to just using a different method or data structure.
10. Think About Your Data Structures
Searching a dictionary or set is insanely fast, but lists take time proportional to the length of the list. However, sets and dictionaries do not maintain order. If you care about the order of your data, you can’t make use of dictionaries or sets.
❤2
You asked me to resend some free Python courses shared here in the past.
So here you go:
1. Introduction to Computer Science and Programming in Python: From MIT, for free! 🙌🏼
No registration or download required
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/
Video lessons 🎥
Slides and code 👨💻
2. CS50’s Web Programming with Python and JavaScript by Harvard University:
HTML, CSS
Git
Python
Django
SQL, Models, and Migrations
JavaScript
User Interfaces
Testing, CI/CD
Scalability and Security
Start learning immediately, no registration or download required.
3. Python course by Google
🔗Link to Course
No registration or download needed.
4. Python for Beginners
Programming with Python
By Microsoft
Authors: Susan Ibach, GeekTrainer
🎬 44 episodes
⏰ 180 mins
🔗 Link to course
5. NOC:Programming, Data Structures and Algorithms using Python
⌛️ 6 weeks
👨🏫 45 lectures
🔗 Link to course
6. Scientific Computing with Python
Author: Dr. Charles Severance (also known as Dr. Chuck).
🎬 56 lessons
💻 5 scientific projects
📜 Free certification
🔗 Link to course
Additional materials:
Python Tutorial -> Condensed Cheatsheet
https://learnxinyminutes.com/docs/python3/
Free Python Books
A list of Python books in English that are free to read online or download.
⭐️ 2.6k
https://github.com/pamoroso/free-python-books
Learn Python the Hard Way
Author: Zed Shaw
Language: English
Level: Beginner
Online version (by the original author - no worries, this isn't a pirate link!) of the "Learn Python the Hard Way." book. It emphasizes repetition and concept understanding.
🔗https://learnpythonthehardway.org/python3/
#python #pythonbooks #pythoncourses
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Enjoy Learning 👍
So here you go:
1. Introduction to Computer Science and Programming in Python: From MIT, for free! 🙌🏼
No registration or download required
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/
Video lessons 🎥
Slides and code 👨💻
2. CS50’s Web Programming with Python and JavaScript by Harvard University:
HTML, CSS
Git
Python
Django
SQL, Models, and Migrations
JavaScript
User Interfaces
Testing, CI/CD
Scalability and Security
Start learning immediately, no registration or download required.
3. Python course by Google
🔗Link to Course
No registration or download needed.
4. Python for Beginners
Programming with Python
By Microsoft
Authors: Susan Ibach, GeekTrainer
🎬 44 episodes
⏰ 180 mins
🔗 Link to course
5. NOC:Programming, Data Structures and Algorithms using Python
⌛️ 6 weeks
👨🏫 45 lectures
🔗 Link to course
6. Scientific Computing with Python
Author: Dr. Charles Severance (also known as Dr. Chuck).
🎬 56 lessons
💻 5 scientific projects
📜 Free certification
🔗 Link to course
Additional materials:
Python Tutorial -> Condensed Cheatsheet
https://learnxinyminutes.com/docs/python3/
Free Python Books
A list of Python books in English that are free to read online or download.
⭐️ 2.6k
https://github.com/pamoroso/free-python-books
Learn Python the Hard Way
Author: Zed Shaw
Language: English
Level: Beginner
Online version (by the original author - no worries, this isn't a pirate link!) of the "Learn Python the Hard Way." book. It emphasizes repetition and concept understanding.
🔗https://learnpythonthehardway.org/python3/
#python #pythonbooks #pythoncourses
➖➖➖➖➖➖➖➖➖➖
👉Join @coderslearning for more👈
Share with your friends! 🚀
Enjoy Learning 👍
👍2
Web Development for Beginners by Microsoft
Authors: Jen Looper, Chris Noring, Christopher Harrison, Jasmine Greenaway, Yohan Lasorsa, Floor Drees, and sketchnote artist Tomomi Imura
🎬 24 lessons
Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about JavaScript, CSS, and HTML basics. Each lesson includes pre- and post-lesson quizzes, written instructions to complete the lesson, a solution, an assignment and more. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'.
🔗 Link to Course
🔗 Link to PDF
#webdev #webdevelopment #microsoft
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Share with your friends! 🚀
Enjoy Learning 👍
Authors: Jen Looper, Chris Noring, Christopher Harrison, Jasmine Greenaway, Yohan Lasorsa, Floor Drees, and sketchnote artist Tomomi Imura
🎬 24 lessons
Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about JavaScript, CSS, and HTML basics. Each lesson includes pre- and post-lesson quizzes, written instructions to complete the lesson, a solution, an assignment and more. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'.
🔗 Link to Course
🔗 Link to PDF
#webdev #webdevelopment #microsoft
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Join @coderslearning for more
Share with your friends! 🚀
Enjoy Learning 👍
👍1
The fundamentals of programming - Python Tutorial
👨🏫 Teacher: Annyce Davis
🎬 39 short video lessons
📊 Level: beginner
✅ Free
Topics:
1. Programming Basics
2. Programming Syntax
3. Variables and Data Types
4. Conditional Code
5. Modular Code
🔗 Course link
#python #programming #learning
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Share with your friends! 🚀
👨🏫 Teacher: Annyce Davis
🎬 39 short video lessons
📊 Level: beginner
✅ Free
Topics:
1. Programming Basics
2. Programming Syntax
3. Variables and Data Types
4. Conditional Code
5. Modular Code
🔗 Course link
#python #programming #learning
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LinkedIn
The fundamentals of programming - Python Video Tutorial | LinkedIn Learning, formerly Lynda.com
In this video, Annyce provides a walkthrough of the course and a very special welcome.
👍1
Top Programming Interview Questions and Answers (General)
Question: Please explain what you understand by computer programming.
Answer: Also known as coding or programming, computer programming is the process of encoding an algorithm into a notation, typically a computer program, by means of some programming language so that it can be executed by a computer.
Each programming language contains a set of instructions for the computer to execute a set of tasks. Programming is a complex process that includes designing an algorithm, coding the same in a programming language, debugging a program, maintaining, and updating the code.
Question: Can you enumerate and explain the various types of errors that can occur during the execution of a computer program?
Answer: Three types of errors can occur during the execution of a computer program. These are:
Logical errors – This occurs in the scenario of a computer program implementing the wrong logic. As there is no report generated for these types of programming errors, they are the most difficult ones to deal with.
Runtime errors – Occurs when the program contains an illegal operation. For example, dividing a number by 0. These are the only errors that are displayed instantly during the program execution. Upon the occurrence of a runtime error, the program execution is stopped and a diagnostic message is displayed.
Syntax errors – Occurs when one or more grammatical rules of the programming language being used is violated. Such errors are detected during compile time.
Question: Please explain an algorithm. What are some of its important features?
Answer: An algorithm can be defined as a set of finite steps that when followed helps in accomplishing a particular task. Important features of an algorithm are clarity, efficiency, and finiteness.
Question: What do you understand by maintaining and updating a computer program?
Answer: The maintenance and updating process of a computer program starts post its successful installation. While program maintenance is the continuous process of monitoring the computer program for bugs and errors, updating the computer program means making it better with minor and major changes over time.
Question: Please provide a brief explanation on variables.
Answer: Variables are used for storing the input of a program as well as the computational results during program execution. These are actually named memory locations. The value stored in a variable can change during the program execution.
Question: Please explain what you understand by computer programming.
Answer: Also known as coding or programming, computer programming is the process of encoding an algorithm into a notation, typically a computer program, by means of some programming language so that it can be executed by a computer.
Each programming language contains a set of instructions for the computer to execute a set of tasks. Programming is a complex process that includes designing an algorithm, coding the same in a programming language, debugging a program, maintaining, and updating the code.
Question: Can you enumerate and explain the various types of errors that can occur during the execution of a computer program?
Answer: Three types of errors can occur during the execution of a computer program. These are:
Logical errors – This occurs in the scenario of a computer program implementing the wrong logic. As there is no report generated for these types of programming errors, they are the most difficult ones to deal with.
Runtime errors – Occurs when the program contains an illegal operation. For example, dividing a number by 0. These are the only errors that are displayed instantly during the program execution. Upon the occurrence of a runtime error, the program execution is stopped and a diagnostic message is displayed.
Syntax errors – Occurs when one or more grammatical rules of the programming language being used is violated. Such errors are detected during compile time.
Question: Please explain an algorithm. What are some of its important features?
Answer: An algorithm can be defined as a set of finite steps that when followed helps in accomplishing a particular task. Important features of an algorithm are clarity, efficiency, and finiteness.
Question: What do you understand by maintaining and updating a computer program?
Answer: The maintenance and updating process of a computer program starts post its successful installation. While program maintenance is the continuous process of monitoring the computer program for bugs and errors, updating the computer program means making it better with minor and major changes over time.
Question: Please provide a brief explanation on variables.
Answer: Variables are used for storing the input of a program as well as the computational results during program execution. These are actually named memory locations. The value stored in a variable can change during the program execution.
Which type of members can’t be accessed in derived classes of a base class?
Anonymous Quiz
25%
All can be accessed
24%
Protected
40%
Private
12%
Public
🔰 Learn C# By Building Applications 🔰
Learn C# 6 And C# 7 By Understanding The Core Concepts And Using Them To Build Real World .NET Console Applications.
⚠️ Source [Paid]
🌀 Download Link [Free]
Learn C# 6 And C# 7 By Understanding The Core Concepts And Using Them To Build Real World .NET Console Applications.
⚠️ Source [Paid]
🌀 Download Link [Free]
Computer Science 61B, 002 - Spring 2015
Data structures
by UC Berkeley
👨🏫 Teacher: Joshua A. Hug
🎬 37 video lessons
⏰ 35 hours
✅ Free
🔗 Course link
#datastructures #algorithms #cs #dsa
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Data structures
by UC Berkeley
👨🏫 Teacher: Joshua A. Hug
🎬 37 video lessons
⏰ 35 hours
✅ Free
🔗 Course link
#datastructures #algorithms #cs #dsa
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👍2
Fundamentals of Programming
by Richard L. Halterman
July 11, 2019
📄 785 pages
🔗 Book link
#cpp
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by Richard L. Halterman
July 11, 2019
📄 785 pages
🔗 Book link
#cpp
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👍2
Introduction to Python 3 (basics) - Learning to Program with Python 3
by sentdex
🎬 15 video lessons
📝 blogpost for each lesson
Content:
Tuples, Strings, Loops
Lists and Tic Tac Toe Game
Built-in Functions
Indexes and Slices
Functions
Function Parameters and Typing
Mutability Revisited
Error Handling
Calculating Horizontal Winner (tic tac toe)
Vertical Winners
Diagonal Winners
Bringing Things Together
Wrapping up Tic Tac Toe
Conclusion
🔗 Course link
#python
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Share with your friends! 🚀
by sentdex
🎬 15 video lessons
📝 blogpost for each lesson
Content:
Tuples, Strings, Loops
Lists and Tic Tac Toe Game
Built-in Functions
Indexes and Slices
Functions
Function Parameters and Typing
Mutability Revisited
Error Handling
Calculating Horizontal Winner (tic tac toe)
Vertical Winners
Diagonal Winners
Bringing Things Together
Wrapping up Tic Tac Toe
Conclusion
🔗 Course link
#python
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
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👍2
Python from scratch
by University of Waterloo
0. Introduction
1. First steps
2. Built-in functions
3. Storing and using information
4. Creating functions
5. Booleans
6. Branching
7. Building better programs
8. Iteration using while
9. Storing elements in a sequence
10. Iteration using for
11. Bundling information into objects
12. Structuring data
13. Recursion
🔗 Link to Course
#python #beginners
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by University of Waterloo
0. Introduction
1. First steps
2. Built-in functions
3. Storing and using information
4. Creating functions
5. Booleans
6. Branching
7. Building better programs
8. Iteration using while
9. Storing elements in a sequence
10. Iteration using for
11. Bundling information into objects
12. Structuring data
13. Recursion
🔗 Link to Course
#python #beginners
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👍3
Django For Everybody - Full Python University Course
🔗 Course link
#python #django #webdeveloper
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🔗 Course link
#python #django #webdeveloper
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🔥1
Advanced Backend Web Development 💻🧠💡
Here will look at the basics of Coffeescript, a quick and powerful way to write Javascript.
52min of on-demand video
Created by RefactorU LLC
In English
• What you'll learn?
- Course Goal: Learn how to improve development productivity with task runners and preprocessors
- Use Sockets for real-time client-server communication
- Use CoffeeScript to improve writing JavaScript
- Automate multiple tasks using Grunt
🔗Link to Course
#js #javascript #backend
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Here will look at the basics of Coffeescript, a quick and powerful way to write Javascript.
52min of on-demand video
Created by RefactorU LLC
In English
• What you'll learn?
- Course Goal: Learn how to improve development productivity with task runners and preprocessors
- Use Sockets for real-time client-server communication
- Use CoffeeScript to improve writing JavaScript
- Automate multiple tasks using Grunt
🔗Link to Course
#js #javascript #backend
➖➖➖➖➖➖➖➖➖➖
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👍2