Python Programming Help JC-PD LLC

Affordable Online Python Programming Help by a Physics PhD + postdoc / Math BS with 20 years of professional programming experience

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$40/hr for students    Tutoring Policies

$65/hr for businesses (industry, research labs, and private businesses for software engineering consulting/training/scientific programming/tutoring.)

Physics PhD + postdoc / Math BS tutor. Subjects: Python Programming, Python Homework, Python Assignments, Python Projects -- including Data Structures and Algorithms.

Time zone: CST/CDT

In sessions, concepts are explained clearly if there is a need. Otherwise, practice is the focus. Active learning is best in any subject. Material and concepts are presented after a relevant practical problem is chosen. Then the required knowledge and problem solving approach and methods are presented. Teaching strategy in test taking is beneficial to many students. Teaching error-free programming techniques is valuable in CS. The approach to physics and math problems should also be an error-free one. In all technical subjects, problem solving should be accomplished in small steps, checking the consequences of each before proceeding.

I want to help students learn problematic material. Beating fear of success is possible through sustained small successes. The only real teaching/tutoring goal is to teach a student everything the teacher/tutor knows so that the teacher/tutor is no longer necessary.

Sessions are online only and by appointment only. My Zoom is utilized for sessions. Lesson notes are displayed and later saved to a pdf file for students, if applicable. A tablet and stylus are used for clearer notes. Students may use the whiteboard of My Zoom or MS oneNote if available. Notes can be written with a mouse if no tablet is available. It is possible to have your homework completed outside of a tutoring session for the usual hourly rate, but it is recommended to complete the homework in a meeting.

Python Programming Help

Python Programming Help Details

Python programming assignments AP Computer Science with Python programming assignments Python programming projects Python programming in Data Structures and Algorithms Python programming help with concepts and language questions Python programming help with IDEs such as IDLE, Jupyter, Spyder, Google Colab, and Visual Code Python help with Scientific programming Python programming help with GUIs will be considered case-by-case Python test and quiz prep Python programming help with turtle is possible Python programming help with introductory Data Science is possible

Python Help

Python is a mathematically oriented OO language, although one can program anything almost with it. Its new development comes from a mathematician, who is the original author. There are many theoretical physicists and applied mathematicians who use python, and then there are the machine learning (ML) experts and data scientists too. The libraries used for ML and data science are not that difficult to use, but they are much more difficult to understand in detail. A top ML expert or data scientist should understand the python libraries for his/her area of work. Note that, for one to begin ML or Data Science, the beginning mathematical background is approximately a minor in mathematics. Even that background is not sufficient. One should certainly be competent in junior/senior-level courses in mathematical statistics, advanced applied calculus, and linear algebra.

Python is about as difficult to learn as Java. It does not use pointers, just as Java also does not. It does produce shorter code than Java, which may make python a bit simpler than Java. C/C++ is more difficult than python and Java. Object oriented python may be a bit more difficult than that in Java, especially if you already know Java. The syntax of Java is clearer than python's for classes in my opinion.

Like all programming languages, learning python requires a significant amount of personal practice. In tutoring, solving problems with python is emphasized, and programming strategies/techniques are presented. It is hoped that enough personal practice time will benefit the learner by ending the need for rote memorization of syntax or programming techniques.

For standard applications, python 3 is used, along with spyder or jupyter (if anaconda 3 is used). For data science, the prefered version of python is version 2, and the IDE jupyter is used, primarily (if anaconda 2 is used). Jupyter is much better for presentations of results of python calculations and plots using matplotlib. Anaconda facilitates the installation of libraries with a website devoted to that (for python 2 or 3).

There are many IDEs for python, and most are free or have free versions. Anaconda and pycharm are probably the most popular. Coding python for most applications is reasonable, and the language itself lends toward shorter code as compared to the "C languages" and Java. Still, coding ML and data science can be very difficult, especially when one does not know the mathematical details of the utilized libraries. For many applications, python is a fairly fun language to use.

I have been tutoring python since late 2019 or early 2020. I do like python since it is programmer friendly. I did translate a significant MATLAB program into python for an electrical engineering graduate student. The last version utilized classes. Since then, I have been regularly tutoring python. Some students were in HS, while other were college students or non-students simply interested in improving their python programming skills.

I am a former part-time software engineering consultant using C++ for a US industry in PA (2019). Also, in industry, I have 6 years of experience as a programmer/software engineer. I have 12 years of programming experience in my scientific research at Wash U School of Medicine in St. Louis. Through my dissertation and postdoc, I have 5 years of FORTRAN programming experience. At Wash U School of Medicine, I have 8 years of part-time UNIX system administrator experience.

Python Programming Methods

Code a little and then test it. That will save a great deal of time. Use an IDE. Anaconda, and in particular, Spyder is recommended since it is very helpful. Spyder 4 now has Kite, which provides for intellisense while programming python. Math and Data Science courses may expect you to use Jupyter, since plots can be displayed easily, and ... I do not use the debugger in any IDE until I have debugged first with simple print statements. Always read your code carefully when debugging. Python's debugger runs by default. Also, add packages to python on the conda website. It is faster to code slowly and accurately, being very careful, and using code a little then test. Cut and paste when writing new code instead of typing, unless you are an accurate typer and you like to type. OOP in python is different than that of C++ or Java, especially in terms of syntax. Note that private and protected in python have different precise meanings when compared to Java and C++. You can access, e.g., private data if you know about data mangling: See Lutz's books.

Advanced Python Programming Methods

Try not to use numerical constants. Try to design your code so that those are not necessary, or keep them to a minimum. If you are stuck in your coding, step away from it for an hour or so, and then return fresh. Don't get into numerical difficulties when coding. If the problem becomes complicated numerically, try refactoring it. If you are uncertain about or forgot a few python concepts, go review before proceeding. When working professionally, you should not assume that all of your colleagues will be honest with you. Always be perfectly honest with all of your colleagues, or else you will invite trouble into your future. When using multiple classes that communicate or are related, test both or all together before proceeding.

For more information or to schedule a session, please send a message below, or call or text (580) 919-2484, or send an email to peter.domitrovich@jc-pdllc.com (info@jc-pdllc.com).

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