Master C programming in 30 days with free resources
Week 1: Basics
1. Days 1-3: Learn the basics of C syntax, data types, and variables.
2. Days 4-7: Study control structures like loops (for, while) and conditional statements (if, switch).
Week 2: Functions and Arrays
3. Days 8-10: Understand functions, how to create them, and pass parameters.
4. Days 11-14: Dive into arrays and how to manipulate them.
Week 3: Pointers and Memory Management
5. Days 15-17: Learn about pointers and their role in C programming.
6. Days 18-21: Study memory management, dynamic memory allocation, and deallocation (malloc, free).
Week 4: File Handling and Advanced Topics
7. Days 22-24: Explore file handling and I/O operations in C.
8. Days 25-28: Learn about more advanced topics like structures, unions, and advanced data structures.
9. Days 29-30: Practice and review what you've learned. Work on small projects to apply your knowledge.
Throughout the 30 days, make sure to:
- Code every day to reinforce your learning.
- Use online resources, tutorials, and textbooks.
- Join C programming communities and forums for help and discussions.
- Solve coding challenges and exercises to test your skills (e.g., HackerRank, LeetCode).
- Document your progress and make notes.
Free Resources to learn C Programming
👇👇
Introduction to C Programming
CS50 Course by Harvard
Master the basics of C Programming
C Programming Project
Let Us C Free Book
Free Interactive C Tutorial
Join @free4unow_backup for more free courses
ENJOY LEARNING 👍👍
Week 1: Basics
1. Days 1-3: Learn the basics of C syntax, data types, and variables.
2. Days 4-7: Study control structures like loops (for, while) and conditional statements (if, switch).
Week 2: Functions and Arrays
3. Days 8-10: Understand functions, how to create them, and pass parameters.
4. Days 11-14: Dive into arrays and how to manipulate them.
Week 3: Pointers and Memory Management
5. Days 15-17: Learn about pointers and their role in C programming.
6. Days 18-21: Study memory management, dynamic memory allocation, and deallocation (malloc, free).
Week 4: File Handling and Advanced Topics
7. Days 22-24: Explore file handling and I/O operations in C.
8. Days 25-28: Learn about more advanced topics like structures, unions, and advanced data structures.
9. Days 29-30: Practice and review what you've learned. Work on small projects to apply your knowledge.
Throughout the 30 days, make sure to:
- Code every day to reinforce your learning.
- Use online resources, tutorials, and textbooks.
- Join C programming communities and forums for help and discussions.
- Solve coding challenges and exercises to test your skills (e.g., HackerRank, LeetCode).
- Document your progress and make notes.
Free Resources to learn C Programming
👇👇
Introduction to C Programming
CS50 Course by Harvard
Master the basics of C Programming
C Programming Project
Let Us C Free Book
Free Interactive C Tutorial
Join @free4unow_backup for more free courses
ENJOY LEARNING 👍👍
👍7❤4👌1
Master Java programming in 15 days with Free Resources 😄👇
Days 1-3: Getting Started
1. Day 1: Install Java Development Kit (JDK) on your computer and set up your development environment.
2. Day 2: Learn the basics of Java syntax, variables, data types, and how to write a simple "Hello, World!" program.
3. Day 3: Dive into Java's Object-Oriented Programming (OOP) concepts, including classes and objects.
Days 4-6: Control Flow and Data Structures
4. Day 4: Study control flow structures like if statements, loops (for, while), and switch statements.
5. Day 5: Learn about data structures such as arrays and ArrayLists for handling collections of data.
6. Day 6: Explore more advanced data structures like HashMaps and Sets.
Days 7-9: Methods and Functions
7. Day 7: Understand methods and functions in Java, including method parameters and return values.
8. Day 8: Learn about method overloading and overriding, as well as access modifiers.
9. Day 9: Practice creating and using methods in your Java programs.
Days 10-12: Exception Handling and File I/O
10. Day 10: Study exception handling to deal with runtime errors.
11. Day 11: Explore file input/output to read and write data to files.
12. Day 12: Combine exception handling and file I/O in practical applications.
Days 13-15: Advanced Topics and Projects
13. Day 13: Learn about Java's built-in libraries, such as the Collections framework and the java.util package.
14. Day 14: Explore graphical user interfaces (GUI) using Java Swing or JavaFX.
15. Day 15: Work on a Java project to apply what you've learned. Build a simple application or program of your choice.
FREE RESOURCES TO LEARN JAVA 👇👇
Introduction to Programming in Java: https://ocw.mit.edu/courses/6-092-introduction-to-programming-in-java-january-iap-2010/
Java Tutorial for complete beginners: https://bit.ly/3MkvQWf
Introduction to Java Programming and Data Structures: https://t.iss.one/programming_guide/573
Project Ideas for Java: https://t.iss.one/Programming_experts/457
Free Website to Practice Java https://www.hackerrank.com/domains/java
Join @free4unow_backup for more free courses
ENJOY LEARNING👍👍
Days 1-3: Getting Started
1. Day 1: Install Java Development Kit (JDK) on your computer and set up your development environment.
2. Day 2: Learn the basics of Java syntax, variables, data types, and how to write a simple "Hello, World!" program.
3. Day 3: Dive into Java's Object-Oriented Programming (OOP) concepts, including classes and objects.
Days 4-6: Control Flow and Data Structures
4. Day 4: Study control flow structures like if statements, loops (for, while), and switch statements.
5. Day 5: Learn about data structures such as arrays and ArrayLists for handling collections of data.
6. Day 6: Explore more advanced data structures like HashMaps and Sets.
Days 7-9: Methods and Functions
7. Day 7: Understand methods and functions in Java, including method parameters and return values.
8. Day 8: Learn about method overloading and overriding, as well as access modifiers.
9. Day 9: Practice creating and using methods in your Java programs.
Days 10-12: Exception Handling and File I/O
10. Day 10: Study exception handling to deal with runtime errors.
11. Day 11: Explore file input/output to read and write data to files.
12. Day 12: Combine exception handling and file I/O in practical applications.
Days 13-15: Advanced Topics and Projects
13. Day 13: Learn about Java's built-in libraries, such as the Collections framework and the java.util package.
14. Day 14: Explore graphical user interfaces (GUI) using Java Swing or JavaFX.
15. Day 15: Work on a Java project to apply what you've learned. Build a simple application or program of your choice.
FREE RESOURCES TO LEARN JAVA 👇👇
Introduction to Programming in Java: https://ocw.mit.edu/courses/6-092-introduction-to-programming-in-java-january-iap-2010/
Java Tutorial for complete beginners: https://bit.ly/3MkvQWf
Introduction to Java Programming and Data Structures: https://t.iss.one/programming_guide/573
Project Ideas for Java: https://t.iss.one/Programming_experts/457
Free Website to Practice Java https://www.hackerrank.com/domains/java
Join @free4unow_backup for more free courses
ENJOY LEARNING👍👍
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Here's a good list of cheat sheets for programmers (all free):
Data Science Cheatsheet
https://github.com/aaronwangy/Data-Science-Cheatsheet
SQL Cheatsheet
sqltutorial.org/sql-cheat-sheet
t.iss.one/sqlspecialist/827
https://www.sqltutorial.org/wp-content/uploads/2016/04/SQL-cheat-sheet.pdf
Java Programming Cheatsheet
https://introcs.cs.princeton.edu/java/11cheatsheet/
Javascript Cheatsheet
quickref.me/javascript.html
t.iss.one/javascript_courses/532
Data Analytics Cheatsheets
https://dataanalytics.beehiiv.com/p/data
Python Cheat sheet
quickref.me/python.html
https://t.iss.one/pythondevelopersindia/314
GIT and Machine Learning Cheatsheet
https://t.iss.one/datasciencefun/714
HTML Cheatsheet
https://web.stanford.edu/group/csp/cs21/htmlcheatsheet.pdf
htmlcheatsheet.com
CSS Cheatsheet
htmlcheatsheet.com/css
jQuery Cheatsheet
t.iss.one/webdevelopmentbook/90
Data Visualization
t.iss.one/datasciencefun/698
Free entry to our WhatsApp channel
Join @free4unow_backup for more free resources
Like for more ❤️
ENJOY LEARNING👍👍
Data Science Cheatsheet
https://github.com/aaronwangy/Data-Science-Cheatsheet
SQL Cheatsheet
sqltutorial.org/sql-cheat-sheet
t.iss.one/sqlspecialist/827
https://www.sqltutorial.org/wp-content/uploads/2016/04/SQL-cheat-sheet.pdf
Java Programming Cheatsheet
https://introcs.cs.princeton.edu/java/11cheatsheet/
Javascript Cheatsheet
quickref.me/javascript.html
t.iss.one/javascript_courses/532
Data Analytics Cheatsheets
https://dataanalytics.beehiiv.com/p/data
Python Cheat sheet
quickref.me/python.html
https://t.iss.one/pythondevelopersindia/314
GIT and Machine Learning Cheatsheet
https://t.iss.one/datasciencefun/714
HTML Cheatsheet
https://web.stanford.edu/group/csp/cs21/htmlcheatsheet.pdf
htmlcheatsheet.com
CSS Cheatsheet
htmlcheatsheet.com/css
jQuery Cheatsheet
t.iss.one/webdevelopmentbook/90
Data Visualization
t.iss.one/datasciencefun/698
Free entry to our WhatsApp channel
Join @free4unow_backup for more free resources
Like for more ❤️
ENJOY LEARNING👍👍
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Essential programming language for Android app development 👇👇
1. Java: Java has been the traditional and most widely used programming language for Android app development. It is the official language for Android development and provides a robust set of tools and libraries for building Android apps.
2. Kotlin: Kotlin is a modern, concise, and expressive programming language that has gained popularity among Android developers. It is fully interoperable with Java and offers many features that make Android app development more efficient and less error-prone.
3. C++: While not as commonly used as Java or Kotlin, C++ can be used for developing performance-critical parts of an Android app, such as game engines or graphics-intensive applications.
4. Python: Although not typically used for building full-fledged Android apps, Python can be used for scripting, automation, and data processing tasks in Android development.
5. JavaScript: JavaScript can be used in combination with frameworks like React Native or NativeScript to build cross-platform mobile apps that run on both Android and iOS devices.
Overall, Java and Kotlin are the most essential programming languages for Android app development, with Kotlin gaining popularity as a more modern and efficient alternative to Java.
Free Resources to learn App Development 👇👇
Developing Android Apps with Kotlin
Udemy
Android Basics in Kotlin
Advanced Android with Kotlin
Join @free4unow_backup for more free resources.
ENJOY LEARNING👍👍
1. Java: Java has been the traditional and most widely used programming language for Android app development. It is the official language for Android development and provides a robust set of tools and libraries for building Android apps.
2. Kotlin: Kotlin is a modern, concise, and expressive programming language that has gained popularity among Android developers. It is fully interoperable with Java and offers many features that make Android app development more efficient and less error-prone.
3. C++: While not as commonly used as Java or Kotlin, C++ can be used for developing performance-critical parts of an Android app, such as game engines or graphics-intensive applications.
4. Python: Although not typically used for building full-fledged Android apps, Python can be used for scripting, automation, and data processing tasks in Android development.
5. JavaScript: JavaScript can be used in combination with frameworks like React Native or NativeScript to build cross-platform mobile apps that run on both Android and iOS devices.
Overall, Java and Kotlin are the most essential programming languages for Android app development, with Kotlin gaining popularity as a more modern and efficient alternative to Java.
Free Resources to learn App Development 👇👇
Developing Android Apps with Kotlin
Udemy
Android Basics in Kotlin
Advanced Android with Kotlin
Join @free4unow_backup for more free resources.
ENJOY LEARNING👍👍
👍4❤1
Practice projects to consider:
1. Implement a basic search engine: Read a set of documents and build an index of keywords. Then, implement a search function that returns a list of documents that match the query.
2. Build a recommendation system: Read a set of user-item interactions and build a recommendation system that suggests items to users based on their past behavior.
3. Create a data analysis tool: Read a large dataset and implement a tool that performs various analyses, such as calculating summary statistics, visualizing distributions, and identifying patterns and correlations.
4. Implement a graph algorithm: Study a graph algorithm such as Dijkstra's shortest path algorithm, and implement it in Python. Then, test it on real-world graphs to see how it performs.
1. Implement a basic search engine: Read a set of documents and build an index of keywords. Then, implement a search function that returns a list of documents that match the query.
2. Build a recommendation system: Read a set of user-item interactions and build a recommendation system that suggests items to users based on their past behavior.
3. Create a data analysis tool: Read a large dataset and implement a tool that performs various analyses, such as calculating summary statistics, visualizing distributions, and identifying patterns and correlations.
4. Implement a graph algorithm: Study a graph algorithm such as Dijkstra's shortest path algorithm, and implement it in Python. Then, test it on real-world graphs to see how it performs.
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Spend $0 to master new skills in 2024:
1. HTML - w3schools.com
2. CSS - css-tricks.com
3. JavaScript - learnjavascript.online
4. React - react-tutorial.app
5. Tailwind - scrimba.com
6. Vue - vueschool.io
7. Python - pythontutorial.net
8. SQL - t.iss.one/sqlanalyst
9. Git - atlassian.com/git/tutorials
10. Power BI - t.iss.one/PowerBI_analyst
📌Join our Community
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1. HTML - w3schools.com
2. CSS - css-tricks.com
3. JavaScript - learnjavascript.online
4. React - react-tutorial.app
5. Tailwind - scrimba.com
6. Vue - vueschool.io
7. Python - pythontutorial.net
8. SQL - t.iss.one/sqlanalyst
9. Git - atlassian.com/git/tutorials
10. Power BI - t.iss.one/PowerBI_analyst
📌Join our Community
[https://whatsapp.com/channel/0029Vamhzk5JENy1Zg9KmO2g]
Do react ❤️ if you want more content like this
❤16👍4
⌨️ MongoDB Cheat Sheet
This Post includes a MongoDB cheat sheet to make it easy for our followers to work with MongoDB.
Working with databases
Working with rows
Working with Documents
Querying data from documents
Modifying data in documents
Searching
MongoDB is a flexible, document-orientated, NoSQL database program that can scale to any enterprise volume without compromising search performance.
This Post includes a MongoDB cheat sheet to make it easy for our followers to work with MongoDB.
Working with databases
Working with rows
Working with Documents
Querying data from documents
Modifying data in documents
Searching
👍9
Coding isn't easy!
It’s the art of turning ideas into functional, impactful software that shapes the world around us.
To truly excel in coding, focus on these key areas:
0. Understanding the Basics: Learn the syntax, variables, loops, and conditionals in your chosen programming language. These are the building blocks of coding.
1. Mastering Data Structures and Algorithms: These are the backbone of efficient, scalable, and optimized code.
2. Learning Debugging Techniques: Understand how to identify and fix errors in your code using tools and logical thinking.
3. Writing Clean Code: Follow best practices like commenting, indentation, and naming conventions to make your code readable and maintainable.
4. Building Real-World Projects: Hands-on experience is essential. Apply what you learn by building applications, games, or automation scripts.
5. Collaborating with Git: Master version control to work effectively in teams and manage your codebase.
6. Exploring Frameworks and Libraries: Learn to use tools that simplify coding and add functionality to your projects.
7. Understanding Problem-Solving: Focus on logical thinking and breaking down problems into smaller, manageable parts.
8. Adapting to New Technologies: Stay curious and keep learning new languages, paradigms, and tools as they emerge.
9. Practicing Consistently: Coding is a skill that improves with regular practice and perseverance.
💡 Embrace the process, learn from your mistakes, and keep pushing your limits to grow as a developer.
Best Programming Resources: https://topmate.io/coding/886839
ENJOY LEARNING 👍👍
It’s the art of turning ideas into functional, impactful software that shapes the world around us.
To truly excel in coding, focus on these key areas:
0. Understanding the Basics: Learn the syntax, variables, loops, and conditionals in your chosen programming language. These are the building blocks of coding.
1. Mastering Data Structures and Algorithms: These are the backbone of efficient, scalable, and optimized code.
2. Learning Debugging Techniques: Understand how to identify and fix errors in your code using tools and logical thinking.
3. Writing Clean Code: Follow best practices like commenting, indentation, and naming conventions to make your code readable and maintainable.
4. Building Real-World Projects: Hands-on experience is essential. Apply what you learn by building applications, games, or automation scripts.
5. Collaborating with Git: Master version control to work effectively in teams and manage your codebase.
6. Exploring Frameworks and Libraries: Learn to use tools that simplify coding and add functionality to your projects.
7. Understanding Problem-Solving: Focus on logical thinking and breaking down problems into smaller, manageable parts.
8. Adapting to New Technologies: Stay curious and keep learning new languages, paradigms, and tools as they emerge.
9. Practicing Consistently: Coding is a skill that improves with regular practice and perseverance.
💡 Embrace the process, learn from your mistakes, and keep pushing your limits to grow as a developer.
Best Programming Resources: https://topmate.io/coding/886839
ENJOY LEARNING 👍👍
👍12❤1
Useful Cheatsheets for Programmers
👇👇
Data Science Cheatsheet
https://github.com/aaronwangy/Data-Science-Cheatsheet
SQL Cheatsheet
https://learnsql.com/blog/sql-basics-cheat-sheet/
https://t.iss.one/programming_guide/299
https://www.sqltutorial.org/wp-content/uploads/2016/04/SQL-cheat-sheet.pdf
https://t.iss.one/learndataanalysis/442?single
Java Programming Cheatsheet
https://introcs.cs.princeton.edu/java/11cheatsheet/
PHP and Ruby Cheatsheets
https://t.iss.one/programming_guide/300
https://t.iss.one/programming_guide/301
Pandas in 5 minutes
https://bit.ly/3EZgNgF
Python Cheat sheet
https://t.iss.one/pythondevelopersindia/314
UML Cheat sheet
https://www.guru99.com/uml-cheatsheet-reference-guide.html.
GIT and Machine Learning Cheatsheet
https://t.iss.one/datasciencefun/714?single
Javascript Cheat sheet
https://t.iss.one/programming_guide/623
HTML Cheatsheet
https://web.stanford.edu/group/csp/cs21/htmlcheatsheet.pdf
ENJOY LEARNING 👍👍
👇👇
Data Science Cheatsheet
https://github.com/aaronwangy/Data-Science-Cheatsheet
SQL Cheatsheet
https://learnsql.com/blog/sql-basics-cheat-sheet/
https://t.iss.one/programming_guide/299
https://www.sqltutorial.org/wp-content/uploads/2016/04/SQL-cheat-sheet.pdf
https://t.iss.one/learndataanalysis/442?single
Java Programming Cheatsheet
https://introcs.cs.princeton.edu/java/11cheatsheet/
PHP and Ruby Cheatsheets
https://t.iss.one/programming_guide/300
https://t.iss.one/programming_guide/301
Pandas in 5 minutes
https://bit.ly/3EZgNgF
Python Cheat sheet
https://t.iss.one/pythondevelopersindia/314
UML Cheat sheet
https://www.guru99.com/uml-cheatsheet-reference-guide.html.
GIT and Machine Learning Cheatsheet
https://t.iss.one/datasciencefun/714?single
Javascript Cheat sheet
https://t.iss.one/programming_guide/623
HTML Cheatsheet
https://web.stanford.edu/group/csp/cs21/htmlcheatsheet.pdf
ENJOY LEARNING 👍👍
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