Hello,
Let me briefly introduce myself: I am a student at a faculty that trains bioengineers, and I have specialized in the Environmental Sciences and Technologies section. In this specialization, we use various programming languages such as Python, Arduino, and R. However, I find the approach rather limited for my liking.
I particularly enjoy the programming and computer science courses included in my curriculum, and I would like to deepen these skills on my own to apply them to my field. Given Python’s importance in my sector, my short-term goal is to solidify my foundations in this language and further develop my expertise.
My main question is: once the basics of Python are mastered, what would be the next steps to continue learning, keeping in mind that my field involves studying ecosystems, gas exchanges, modeling, and statistics? Which specific packages should I focus on?
I’m aware that there are many resources available to learn Python, but it’s often challenging to distinguish the good ones from the less reliable ones. What advice would you give to identify trustworthy and suitable resources for my needs? Do you have any online courses or training programs to recommend? Any type of resource would be helpful.
Additionally, I am very interested in concepts such as model creation and neural networks, although these are still somewhat abstract to me. I assume there are several steps to go through before diving into those topics, and I’m willing to take the time to learn. Do you have resources to recommend for these areas as well?
In parallel, I’d like to learn about other essential tools for development, such as using Git/GitHub, Jupyter Notebook, etc. In your opinion, what tools and skills are indispensable for standing out in my future career?
Lastly, a more general question: is it realistic to think that one can achieve a good level of programming without having pursued a dedicated computer science education? Is there a “glass ceiling” for self-taught individuals in this field?
Thank you very much for your attention. I’m open to all your advice and suggestions, which will be incredibly valuable for my progress.
submitted by /u/ParkingAssociation20
[link] [comments]
r/learnpython Hello, Let me briefly introduce myself: I am a student at a faculty that trains bioengineers, and I have specialized in the Environmental Sciences and Technologies section. In this specialization, we use various programming languages such as Python, Arduino, and R. However, I find the approach rather limited for my liking. I particularly enjoy the programming and computer science courses included in my curriculum, and I would like to deepen these skills on my own to apply them to my field. Given Python’s importance in my sector, my short-term goal is to solidify my foundations in this language and further develop my expertise. My main question is: once the basics of Python are mastered, what would be the next steps to continue learning, keeping in mind that my field involves studying ecosystems, gas exchanges, modeling, and statistics? Which specific packages should I focus on? I’m aware that there are many resources available to learn Python, but it’s often challenging to distinguish the good ones from the less reliable ones. What advice would you give to identify trustworthy and suitable resources for my needs? Do you have any online courses or training programs to recommend? Any type of resource would be helpful. Additionally, I am very interested in concepts such as model creation and neural networks, although these are still somewhat abstract to me. I assume there are several steps to go through before diving into those topics, and I’m willing to take the time to learn. Do you have resources to recommend for these areas as well? In parallel, I’d like to learn about other essential tools for development, such as using Git/GitHub, Jupyter Notebook, etc. In your opinion, what tools and skills are indispensable for standing out in my future career? Lastly, a more general question: is it realistic to think that one can achieve a good level of programming without having pursued a dedicated computer science education? Is there a “glass ceiling” for self-taught individuals in this field? Thank you very much for your attention. I’m open to all your advice and suggestions, which will be incredibly valuable for my progress. submitted by /u/ParkingAssociation20 [link] [comments]
Hello,
Let me briefly introduce myself: I am a student at a faculty that trains bioengineers, and I have specialized in the Environmental Sciences and Technologies section. In this specialization, we use various programming languages such as Python, Arduino, and R. However, I find the approach rather limited for my liking.
I particularly enjoy the programming and computer science courses included in my curriculum, and I would like to deepen these skills on my own to apply them to my field. Given Python’s importance in my sector, my short-term goal is to solidify my foundations in this language and further develop my expertise.
My main question is: once the basics of Python are mastered, what would be the next steps to continue learning, keeping in mind that my field involves studying ecosystems, gas exchanges, modeling, and statistics? Which specific packages should I focus on?
I’m aware that there are many resources available to learn Python, but it’s often challenging to distinguish the good ones from the less reliable ones. What advice would you give to identify trustworthy and suitable resources for my needs? Do you have any online courses or training programs to recommend? Any type of resource would be helpful.
Additionally, I am very interested in concepts such as model creation and neural networks, although these are still somewhat abstract to me. I assume there are several steps to go through before diving into those topics, and I’m willing to take the time to learn. Do you have resources to recommend for these areas as well?
In parallel, I’d like to learn about other essential tools for development, such as using Git/GitHub, Jupyter Notebook, etc. In your opinion, what tools and skills are indispensable for standing out in my future career?
Lastly, a more general question: is it realistic to think that one can achieve a good level of programming without having pursued a dedicated computer science education? Is there a “glass ceiling” for self-taught individuals in this field?
Thank you very much for your attention. I’m open to all your advice and suggestions, which will be incredibly valuable for my progress.
submitted by /u/ParkingAssociation20
[link] [comments]