Skip to main content

What are some of the best ways to learn programming?

What are some of the best ways to learn programming? 



Learning programming can be a tricky task and many people don't know where to start so below is a step-by-step way to learn Programming for those who are new to this field -


1) YouTube - If you are new to Programming then first spend as much time as possible on YouTube and try to know if this field is actually for you or not. When you start learning programming then YouTube videos are the best place to start.


2)Pick Any one Language (Python as per my recommendation) - After you have decided that you are willing to move forward in the programming field then just pick any language either c, C++, Java, or Python, and start learning its basics. I will recommend starting with Python as it has the easiest syntax as compared to other languages.


3)Build Projects - After learning the basics of the language selected by you just start building small projects with the help of YouTube videos related to that language. Building projects can speed up your learning many folds and many great programmers suggest this also.


4)Build Large Projects- After getting hands-on experience with small projects now try to build large projects that can be built with your selected language with YouTube or with some experienced programmer's help.


5)Repeat the 4th Point - After building any large project just move on to the next big project and next to the next and after completing 20-30 large projects you will be a programmer.


Above all are my personal opinions feel free to give your thoughts in the comment section. Read more.



Labels:

Comments

Post a Comment

Popular posts from this blog

Why Do People Dislike DAX and Data Modeling in Power BI?

Why Do People Dislike DAX and Data Modeling in Power BI? Many Power BI users express frustration with DAX (Data Analysis Expressions) and data modeling , primarily due to their complexity and steep learning curves.  Reasons Why People Dislike DAX Steep Learning Curve : DAX has a syntax that can feel unintuitive for newcomers, especially for those without prior experience in Excel's Power Pivot or similar analytical languages. The concept of row context vs. filter context is often confusing and requires significant effort to master. Complexity of Advanced Calculations : Basic measures like sums and averages are straightforward, but creating advanced measures (e.g., time intelligence, ranking, or cumulative totals) can quickly become overwhelming. Many users struggle with understanding functions like CALCULATE , FILTER , and ALL , which are essential for advanced analytics. Error Handling : DAX error messages are not always clear or descriptive, making it difficult to debug issues ...
Post a Comment
Read more

Connecting Power BI to Azure Data Lake: Streamlining Big Data Analytics

Connecting Power BI to Azure Data Lake: Streamlining Big Data Analytics Azure Data Lake and Power BI provide a powerful combination for businesses to handle and analyze large datasets efficiently. Here’s a step-by-step breakdown of how connecting Power BI to Azure Data Lake helps streamline big data analytics. 1. What is Azure Data Lake? Azure Data Lake is a cloud-based storage solution designed to handle large volumes of structured and unstructured data. It provides highly scalable and cost-effective storage, making it an ideal choice for big data projects, data lakes, and large-scale analytics. 2. Benefits of Connecting Power BI to Azure Data Lake Handling Large Datasets : Power BI’s integration with Azure Data Lake allows users to work with large datasets without needing to import all the data into Power BI. Instead, users can connect and query data directly. Scalable Analytics : Azure Data Lake’s ability to scale horizontally ensures that it can handle growing volumes of data se...
Post a Comment
Read more

What is an AI Agent and Why It's Booming in 2025

What is an AI Agent and Why It's Booming in 2025 An AI agent is a software entity that uses artificial intelligence to perceive its environment, process information, and take actions autonomously to achieve specific goals. It operates within defined parameters and adapts based on inputs and outcomes, often leveraging technologies like machine learning, natural language processing, and computer vision. AI agents can vary from simple rule-based systems to advanced cognitive agents capable of decision-making, problem-solving, and interaction with humans or other systems. Key Characteristics of AI Agents Autonomy : They perform tasks without continuous human intervention. Adaptability : They learn from data and improve over time. Interactivity : They can communicate with users, systems, or other agents. Goal-Oriented : They are designed to achieve specific objectives or outcomes. Environment Awareness : They perceive and respond to their surroundings. Examples of AI Agents Personal As...
Post a Comment
Read more