Showing posts with the label Robotics

Featured Post

How to Check Column Nulls and Replace: Pandas

Here is a post that shows how to count Nulls and replace them with the value you want in the Pandas Dataframe. We have explained the process in two steps - Counting and Replacing the Null values. Count null values (column-wise) in Pandas ## count null values column-wise null_counts = df.isnull(). sum() print(null_counts) ``` Output: ``` Column1    1 Column2    1 Column3    5 dtype: int64 ``` In the above code, we first create a sample Pandas DataFrame `df` with some null values. Then, we use the `isnull()` function to create a DataFrame of the same shape as `df`, where each element is a boolean value indicating whether that element is null or not. Finally, we use the `sum()` function to count the number of null values in each column of the resulting DataFrame. The output shows the count of null values column-wise. to count null values column-wise: ``` df.isnull().sum() ``` ##Code snippet to count null values row-wise: ``` df.isnull().sum(axis=1) ``` In the above code, `df` is the Panda

Robotics These Skills You Need

Robotics is a combination of multiple skills. Out of those many skills similar to B.Tech Electronics skill sets. I am sharing for your quick reference the complete skillset. PROGRAMMING Mat lab - Familiarity with command-line and external functions using MATLAB library; import/export of data; graphing/plotting functions & data; rudimentary animation Python, C / C++ familiarity ROS- Robot Operating System (ROS) - Optional (Good to know) Program Constructs- Sequencing, Selection, Iteration & Recursion Data Organization- Arrays, Lists, Pointers COMPUTERS Tools Productivity: SW (MS Office - Excel / Word / PowerPoint / Project) Operating Systems Windows or Apple-OS - use of personal laptop computer Linux or Ubuntu MATHEMATICS Linear Algebra Inversion, Eigenvalues, Null-Space Linear Differential Eq. Matrix-Algebra & -Manipulation Basic Calculus Derivatives, Gradients, Chain Rule Numerical Integration Basic Computational Implementation, e.g. Runge-Kutta 4 Fourier Analysis Newtonia