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You’re given a dataframe of students named <code>students_df</code>:

<code>students_df</code> table

<table>
<thead>
<tr>
<th>name</th>
<th>age</th>
<th>favorite_color</th>
<th>grade</th>
</tr>
</thead>

<tbody>
<tr>
<td>Tim Voss</td>
<td>19</td>
<td>red</td>
<td>91</td>
</tr>

<tr>
<td>Nicole Johnson</td>
<td>20</td>
<td>yellow</td>
<td>95</td>
</tr>

<tr>
<td>Elsa Williams</td>
<td>21</td>
<td>green</td>
<td>82</td>
</tr>

<tr>
<td>John James</td>
<td>20</td>
<td>blue</td>
<td>75</td>
</tr>

<tr>
<td>Catherine Jones</td>
<td>23</td>
<td>green</td>
<td>93</td>
</tr>
</tbody>
</table>
Write a function named <code>grades_colors</code> to select only the rows where the student’s favorite color is green or red and their grade is above 90.

Example:

Input:

<pre tabindex="0" class="chroma"><code>import pandas as pd

students = {&#34;name&#34; : [&#34;Tim Voss&#34;, &#34;Nicole Johnson&#34;, &#34;Elsa Williams&#34;, &#34;John James&#34;, &#34;Catherine Jones&#34;], &#34;age&#34; : [19, 20, 21, 20, 23], &#34;favorite_color&#34; : [&#34;red&#34;, &#34;yellow&#34;, &#34;green&#34;, &#34;blue&#34;, &#34;green&#34;], &#34;grade&#34; : [91, 95, 82, 75, 93]}

students_df = pd.DataFrame(students)
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def grades_colors(students_df) -&gt;
</code></pre>

<table>
<thead>
<tr>
<th>name</th>
<th>age</th>
<th>favorite_color</th>
<th>grade</th>
</tr>
</thead>

<tbody>
<tr>
<td>Tim Voss</td>
<td>19</td>
<td>red</td>
<td>91</td>
</tr>

<tr>
<td>Catherine Jones</td>
<td>23</td>
<td>green</td>
<td>93</td>
</tr>
</tbody>
</table>

Write a function to select only the rows where the student's favorite color is green or red and their grade is above 90.

Good Grades and Favorite Colors

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Nobroker.com Salaries by Position

Job Description: Software Engineer (VoIP) - NoBroker.com, ConvoZen.AI About Us: NoBroker.com is the world's largest brokerage-free real estate marketplace, dedicated to transforming the real estate experience with cutting-edge products. Founded by IIT Bombay, IIT Kanpur, and IIM Ahmedabad alumni in 2014, We've raised $366M from prominent investors like General Atlantic, Tiger Global, and Saif Partners. Our comprehensive real estate ecosystem includes NoBrokerHood for community management, NoBroker HomeServices for property management, and a range of services like Legal Services, Rental Agreements, Packers & Movers, HomeLoans, Rent Payments, and more. ConvoZen.AI: We are also proud to offer ConvoZen.AI, our state-of-the-art conversational AI tool. ConvoZen.AI leverages advanced NLP and large language model (LLM) technologies to provide organizations with actionable insights from customer conversations. This innovative solution is revolutionizing how businesses interact with their customers, making it a focal point of our data science endeavors. Job Description: We are looking for a passionate Software Engineer with 2-6 years of experience to join our team. The ideal candidate should have a strong background in developing and deploying real-time communication systems, particularly with expertise in Asterix, WebRTC, cloud telephony, and dialler systems. Responsibilities: <ul><li>Design, develop, and maintain telephony solutions, including dialer systems and related applications. </li><li>Implement and integrate WebRTC-based communication features. </li><li>Work with Session Initiation Protocol (SIP) and Primary Rate Interface (PRI) to develop robust telecommunication systems. </li><li>Collaborate with cross-functional teams to define, design, and ship new features. </li><li>Troubleshoot and resolve issues related to telephony systems and ensure high availability and reliability. </li><li>Participate in code reviews, design discussions, and contribute to the overall system architecture. </li><li>Ensure that the solutions meet performance, security, and scalability requirements. </li><li>Stay updated with the latest industry trends and technologies in telephony and communication systems. </li></ul> Requirements: <ul><li>Proven experience in telephony, dialer systems, WebRTC, SIP, and PRI. </li><li>Strong programming skills in languages such as Python, Java, C++, or similar. </li><li>Experience with telephony frameworks and libraries (e.g., Asterisk, FreeSWITCH, Drachtio). </li><li>Hands-on experience with VoIP technologies and protocols (e.g., RTP, RTCP, SDP). </li><li>Familiarity with cloud-based telephony solutions and infrastructure. </li><li>Knowledge of network protocols, firewalls, and NAT traversal techniques. </li><li>Strong problem-solving skills and the ability to work independently or as part of a team. </li><li>Excellent communication and collaboration skills. </li></ul> Qualifications: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>2-6 years of professional experience in software development, particularly in the communication</li></ul>domain.<ul><li>Proven track record of delivering high-quality software solutions in a fast-paced environment.</li></ul> What We Offer: <ul><li>Competitive salary and benefits package.</li><li>Opportunity to work with cutting-edge technologies in a collaborative environment.</li><li>Professional development and career growth opportunities. </li></ul>

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